Communication method and communication device

Abstract

A communication method and a communication device, comprising: determining a first physical serial number according to a first logical serial number and a first mapping relationship, and sending a first sequence, the first sequence being determined according to the first physical serial number. Wherein the first mapping relation is used for indicating the corresponding relation between the physical sequence numbers and the logic sequence numbers of the cubic polynomial index sequences, and the cubic term coefficients of the cubic polynomial index sequences corresponding to the physical sequence numbers are the same; the maximum value of the cross-ambiguity function of the cubic polynomial exponential sequence corresponding to the plurality of continuous physical serial numbers is smaller than or equal to the first threshold value, and the logical serial number is used for indicating the position index of the physical serial number, so that the sequence capacity can be improved, the configuration efficiency of the sequence resource can be improved, and the transmission requirement of the terminal equipment can be met.

Description

Technical Field

[0001] The present application relates to the field of communications, and more specifically, to a communication method and a communication device. Background Art

[0002] In the communication system, commonly used communication sequences include Alltop sequence, Zadoff-Chu sequence (abbreviated as ZC sequence), and Zadoff-Chu Cover Alltop sequence. Taking the ZC sequence as an example, in the uplink random access process, the base station configures the starting sequence number through the broadcast signal. The terminal device determines 64 ZC sequences in sequence according to the principle of "traversing the cyclic shift first and then traversing the sequence number", and selects one ZC sequence for random access. In order to improve the ability to combat Doppler frequency shift, the cyclic shift of the ZC sequence can be restricted, but the capacity of the ZC sequence may be limited. Especially when the radius of the cell where the terminal device is located is large, and / or the terminal device is moving at a high speed, the configuration efficiency of the sequence resources is low and may not meet the transmission requirements of the terminal device. Summary of the invention

[0003] The embodiments of the present application provide a communication method and a communication device, which can increase sequence capacity and improve the configuration efficiency of sequence resources.

[0004] In the first aspect, a communication method is provided, which can be performed by a first device, or can also be performed by a chip or circuit of the first device, and the present application does not limit this. For the convenience of description, the following is an example of execution by the first device. Among them, the first device can be a terminal device, or a chip, chip system or circuit in the terminal device, or a functional module in the terminal device that can call and execute a program.

[0005] The method includes: determining a first physical sequence number according to a first logical sequence number and a first mapping relationship, wherein the first mapping relationship is used to indicate the correspondence between the physical sequence number and the logical sequence number of a cubic polynomial exponential sequence, the cubic term coefficients of the cubic polynomial exponential sequence corresponding to each physical sequence number are the same, the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequences corresponding to M consecutive physical sequence numbers is less than or equal to a first threshold, the logical sequence number is used to indicate a position index of the physical sequence number, and M is greater than or equal to 1; and sending a first sequence, wherein the first sequence is determined according to the first physical sequence number.

[0006] In one implementation, sending the first sequence may be: the first device sends the first sequence to the second device. For example, the first device and the second device may both be included in the terminal device, or both be included in the network device, in which case it is explained that the first device sends the first sequence to the second device as an internal operation. For another example, the first device may be a terminal device or a device in the terminal device (such as a chip, chip system or circuit of the terminal device), and the second device may be a network device or a device in the network device (such as a chip, chip system or circuit of the network device), in which case it is explained that the first device sends the first sequence to the second device as an external operation.

[0007] According to the scheme provided by the present application, the first device can determine the correspondence between the logical sequence number and the physical sequence number of the cubic polynomial index sequence based on the first mapping relationship, and can also uniquely determine the corresponding first physical sequence number according to the first logical sequence number, and then determine multiple cubic polynomial index sequences according to the first physical sequence number, wherein the first sequence (i.e., the cubic polynomial index sequence) is an index sequence randomly determined from the multiple cubic polynomial index sequences, and uplink random access is completed by sending the first sequence to achieve synchronous communication. Compared with the existing communication sequence, the sequence capacity of the cubic polynomial index sequence is increased, which can support the Doppler frequency deviation of more subcarrier spacings, and improve the configuration efficiency of sequence resources, so as to meet the transmission requirements of more first devices (e.g., terminal devices).

[0008] In the present application, the cubic coefficient of the cubic polynomial exponential sequence corresponding to each physical serial number is the same, which can be understood as: each physical serial number corresponds to a cubic coefficient, and the cubic coefficient can correspond to one or more cubic polynomial exponential sequences, that is, there may be multiple cubic polynomial exponential sequences with the same cubic coefficient, and the quadratic coefficient and / or linear coefficient may be the same or different.

[0009] It should be understood that the cross ambiguity function (CAF) refers to a function obtained by performing correlation operations on two signals after fuzzy processing. Wherein, the maximum value of the cross ambiguity function is less than or equal to the first threshold, indicating that the value of the cross ambiguity function of any two cubic polynomial index sequences is less than or equal to the first threshold, that is, the deviation estimate between any two cubic polynomial index sequences is less than or equal to the first threshold. Wherein, the maximum value of the cross ambiguity function of the cubic polynomial index sequences corresponding to M consecutive physical serial numbers is less than or equal to the first threshold, which can be understood as: when M is equal to 1, it means that the maximum value of the cross ambiguity function of any two cubic polynomial index sequences in the multiple cubic polynomial index sequences corresponding to a physical serial number is less than or equal to the first threshold; when M is greater than 1, for example, M is equal to 2, it means that the maximum value of the cross ambiguity function of any two cubic polynomial index sequences in the cubic polynomial index sequences corresponding to two consecutive physical serial numbers is less than or equal to the first threshold.

[0010] Optionally, the first threshold may be configured or preconfigured. For example, the first threshold δ may satisfy:

[0011]

[0012] Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0013] In the present application, configuration may refer to signaling configuration, and may also be described as configuration signaling. For example, the signaling configuration may be configured by a second device (e.g., a network device) sending a signaling, and these signalings may be radio resource control (RRC) messages, downlink control information (DCI), or system information blocks (SIB). For another example, the signaling configuration may be a pre-configured signaling sent to a first device (e.g., a terminal device), or configured to the first device (e.g., a terminal device) in a pre-configured manner, where the pre-configuration is to define or configure the values ​​of the corresponding parameters in advance in a protocol manner, and may be stored in the first device (e.g., a terminal device) when communicating with the first device (e.g., a terminal device), and this application does not limit this.

[0014] In the present application, the logical serial number is used to indicate the position index of the physical serial number, which can be understood as follows: the logical serial number #a is the position index of the physical serial number #a among all physical serial numbers, wherein the logical serial number #a corresponds to the physical serial number #a. It should be noted that there may be two or more identical physical serial numbers in the present application, and the logical serial numbers corresponding to the two or more identical physical serial numbers are different from each other, that is, each physical serial number corresponds to a logical serial number, that is, the corresponding physical serial number can be uniquely determined according to the logical serial number.

[0015] Optionally, the first mapping relationship may be predefined, and the predefined relationship may include a predefined relationship, such as a protocol definition. Alternatively, the first mapping relationship is configured or preconfigured, and the preconfiguration may be implemented by pre-saving a corresponding code, table, or other method that can be used to indicate relevant information in the first device (e.g., terminal device) or the second device (e.g., network device), and the present application does not limit the specific implementation method thereof.

[0016] Optionally, the first mapping relationship may exist in the form of a table, a function, a text, a character string, etc., such as for storage or transmission.

[0017] Optionally, the method further includes: the second device indicates the first logical sequence number to the first device. For example, the first logical sequence number may be sent by the second device (e.g., a network device) through broadcast information, or may be sent by the second device to the first device through specific signaling (e.g., RRC, DCI, or SIB). Correspondingly, the first device determines the first physical sequence number based on the first logical sequence number and the first mapping relationship.

[0018] It should be understood that the first sequence is determined according to the first physical sequence number, which can be understood as: the first device (for example, the terminal device) determines 64 cubic polynomial index sequences according to the first physical sequence number sequence, and randomly selects a cubic polynomial index sequence to access, and the randomly selected cubic polynomial index sequence is the first sequence. Then, the first device (for example, the terminal device) sends the first sequence to the second device (for example, the network device), and correspondingly, the second device (for example, the network device) performs blind detection on the 64 cubic polynomial index sequences, and determines the first sequence, and at the same time determines the round-trip delay and / or Doppler shift.

[0019] Optionally, the first sequence can also be used in the perception process of the first device (e.g., a terminal device) and / or the second device (e.g., a network device). For example, the first device sends a cubic polynomial exponential sequence and receives an echo of the cubic polynomial exponential sequence. The first device determines the round-trip delay and Doppler frequency deviation of the perceived target, and then obtains the distance and moving speed of the perceived target. For another example, the first device sends a cubic polynomial exponential sequence, the second device receives the cubic polynomial exponential sequence, and then the second device determines the delay and Doppler frequency deviation of the perceived target, and then obtains the distance and moving speed of the perceived target.

[0020] It should be understood that the embodiments of the present application can be applicable to any communication scenario in which a transmitting device and a receiving device communicate. In other words, the embodiments of the present application can be applicable to uplink, downlink, relay link or sideline communication scenarios. For example, uplink communication is communication between a terminal device and a network device; downlink communication is communication between a network device and a terminal device; and sideline communication is communication between a terminal device and a terminal device. Therefore, the first device or the second device can be a network device or a terminal device, or a chip, a chip system or a circuit in a network device or a terminal device, and the present application does not limit this.

[0021] In an embodiment of the present application, sending the first sequence may be: the first device sends the first sequence to the second device. For example, the first device and the second device may both be included in the terminal device, or both be included in the network device, in which case it is explained that the first device sends the first sequence to the second device as an internal operation. For another example, the first device may be a terminal device or a device in the terminal device (such as a chip, a chip system, or a circuit of the terminal device), and the second device may be a network device or a device in the network device (such as a chip, a chip system, or a circuit of the network device), in which case it is explained that the first device sends the first sequence to the second device as an external operation.

[0022] In certain implementations of the first aspect, the cubic polynomial exponential sequence belongs to the first cubic metric group or the second cubic metric group, the cubic metric of each cubic polynomial exponential sequence in the first cubic metric group is less than or equal to the first cubic metric, and the cubic metric of each cubic polynomial exponential sequence in the second cubic metric group is greater than the first cubic metric; the first cubic metric group includes one or more first subgroups, the multiple first subgroups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the first cubic metric group, the multiple first subgroups are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and each first subgroup corresponds to one or more cubic terms Coefficients, the multiple cubic term coefficients corresponding to the last first group to the first first group are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence; the second cubic metric group includes one or more second groups, the multiple second groups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the second cubic metric group, the multiple second groups are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, each second group corresponds to one or more cubic term coefficients, and the multiple cubic term coefficients corresponding to the first second group to the last second group are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence.

[0023] Optionally, the first cubic metric may be configured or preconfigured, for example, the first cubic metric CM=1.2dB, or other values. The first cubic metric group may be referred to as a low cubic metric group, and the second cubic metric group may be referred to as a high cubic metric group. It should be understood that the low cubic metric group and the high cubic metric group are relative, and this application does not limit this.

[0024] Optionally, the first group may be referred to as a first set, which means one or more first sets to which all cubic polynomial exponential sequences in the first cubic metric group belong after being divided, and similarly, the second group may be referred to as a second set, which means one or more second sets to which all cubic polynomial exponential sequences in the second cubic metric group belong after being divided. For ease of description, this application uniformly takes the first group and the second group as examples for explanation.

[0025] In certain implementations of the first aspect, one or more cubic term coefficients in the last first group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and one or more cubic term coefficients in the first second group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence.

[0026] Based on this implementation, a general partitioning method for a cubic polynomial exponential sequence is provided, so that the maximum value of the mutual ambiguity function of adjacent cubic polynomial exponential sequences is less than or equal to a first threshold, and the cubic metric of adjacent cubic polynomial exponential sequences does not jump, so as to ensure the detection probability of the random access signal and the efficiency of the power amplifier.

[0027] In certain implementations of the first aspect, the cubic coefficients of the cubic polynomial exponential sequences in each first group are the same, and the maximum value of the mutual ambiguity function of any cubic polynomial exponential sequence in the first group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to The cubic coefficients of the cubic polynomial exponential sequences in each second group are the same, and the maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the second group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0028] Exemplarily, the first cubic metric group includes Ω L The first group, Ω L The first group corresponds to Ω L cubic coefficient, Ω L The cubic coefficients are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in each first group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent first groups is less than or equal to Ω L is an integer greater than or equal to 1; the second cubic metric group includes Ω H The second group, Ω H The second group corresponds to Ω H The cubic coefficient, Ω H The cubic coefficients are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in each second group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent second groups is less than or equal to Ω H is an integer greater than or equal to 1.

[0029] Based on this implementation method, all cubic polynomial exponential sequences in each first group or each second group correspond to the same cubic term coefficient, the implementation method is simple, and the configuration efficiency is high.

[0030] In certain implementations of the first aspect, each first group includes one or more cubic polynomial exponential sequences with different cubic term coefficients, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any first group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to Each second group contains one or more cubic polynomial exponential sequences with different cubic coefficients. The maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any second group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0031] Exemplarily, the first cubic metric group includes P first small groups, each of the P first small groups corresponds to Θ cubic term coefficients, wherein the Θ cubic term coefficients corresponding to the Pth first small group are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence, and the Θ cubic term coefficients corresponding to the Pth first small group to the first first small group are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence, the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in each first small group is less than or equal to δ, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent first small groups is less than or equal to P is an integer greater than or equal to 1; the second cubic metric group includes Q second small groups, each of the Q second small groups corresponds to Φ cubic term coefficients, wherein the Φ cubic term coefficients corresponding to the first second small group are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence, and the Φ cubic term coefficients corresponding to the first first small group to the Qth second small group are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence, the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in each second small group is less than or equal to δ, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent second small groups is less than or equal to Q is an integer greater than or equal to 1, and δ is a first threshold.

[0032] Based on this implementation, each first group or each second group includes a cubic polynomial exponential sequence corresponding to one or more cubic term coefficients, the mutual ambiguity function of the cubic polynomial exponential sequence is small, and the cubic metric fluctuation is small, thereby improving the detection probability of the random access signal and the efficiency of the power amplifier. That is, the x cubic polynomial exponential sequences in each group can correspond to y different cubic term coefficients, x is less than or equal to y, and x and y are positive integers.

[0033] In certain implementations of the first aspect, all cubic polynomial exponential sequences in the first cubic metric group belong to a first subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequences in the first subgroup is less than or equal to All cubic polynomial exponential sequences in the second cubic metric group belong to a second subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the second subgroup is less than or equal to

[0034] Exemplarily, a first group corresponds to Ω L The cubic coefficient, Ω L The cubic coefficients are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent first groups is less than or equal to Ω L is an integer greater than 1; a second group corresponds to Ω H The cubic coefficient, Ω H The cubic coefficients are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent second groups is less than or equal to Ω H is an integer greater than 1.

[0035] Based on this implementation method, all cubic polynomial exponential sequences in the first cubic metric group or the second cubic metric group correspond to the same group, and the cubic term coefficients in each group monotonically increase according to the cubic metric of the corresponding cubic polynomial exponential sequence. The implementation method is simple and the efficiency of the terminal power amplifier is relatively high.

[0036] In some implementations of the first aspect, the cubic polynomial exponential sequence is expressed as:

[0037]

[0038] Among them, a is the cubic term coefficient of the cubic polynomial exponential sequence, b is the quadratic term coefficient of the cubic polynomial exponential sequence, c is the linear term coefficient of the cubic polynomial exponential sequence, d is the constant term of the cubic polynomial exponential sequence, N is the sequence length of the cubic polynomial exponential sequence, N is a prime number, n∈{0,1,…,N-1}.

[0039] In certain implementations of the first aspect, the cubic term coefficient a of the cubic polynomial exponential sequence is associated with the quadratic term coefficient b of the cubic polynomial exponential sequence, specifically including: if the cubic term coefficient a∈{1,2,…,N-1} of the cubic polynomial exponential sequence, then the quadratic term coefficient b of the cubic polynomial exponential sequence=3akΔ T And the coefficient of the first-order term c = lΔ F ;in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0040] In certain implementations of the first aspect, when a cubic polynomial exponential sequence is mapped using time domain resources, a discrete time signal of the cubic polynomial exponential sequence is represented as:

[0041]

[0042] Where a = λ, b = 3λkΔ T , c=lΔ F , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, Δ F represents the maximum Doppler frequency shift, λ is a parameter associated with the cell, and k and l are parameters associated with the terminal equipment in the cell.

[0043] In certain implementations of the first aspect, when frequency domain resources are used to map a cubic polynomial exponential sequence, a discrete time signal of the cubic polynomial exponential sequence is represented as:

[0044]

[0045] Where a = λ, b = 3λkΔ F , c=lΔ T , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, Δ F represents the maximum Doppler frequency shift, λ is a parameter associated with the cell, and k and l are parameters associated with the terminal equipment in the cell.

[0046] Based on the above scheme, the first device can map the first sequence (ie, cubic polynomial exponential sequence) to time domain resources or frequency domain resources, and then send it to the second device. That is, this application does not limit the specific implementation method of the first device sending the first sequence.

[0047] In certain implementations of the first aspect, the sequence capacity of the cubic polynomial exponential sequence is positively correlated with the cube of the sequence length N of the cubic polynomial exponential sequence, wherein the sequence capacity of the cubic polynomial exponential sequence is N is a prime number, Δ T is the maximum round trip delay, Δ F is the maximum Doppler frequency deviation, Indicates rounding down.

[0048] Based on this implementation method, the sequence capacity of the cubic polynomial exponential sequence is positively correlated with the cube of the sequence length N of the cubic polynomial exponential sequence, which means that the larger the sequence length of the cubic polynomial exponential sequence, the larger the sequence capacity of the cubic polynomial exponential sequence, and the more Doppler frequency deviations can be counteracted with more subcarrier spacings, thus improving the configuration efficiency of sequence resources and meeting the transmission requirements of more terminal devices.

[0049] In some implementations of the first aspect, for The cubic coefficient of the fuzzy function of the cubic polynomial exponential sequence, the quadratic coefficient of the fuzzy function of the cubic polynomial exponential sequence and the linear coefficient of the fuzzy function of the cubic polynomial exponential sequence are not zero at the same time, where τ is the round-trip delay, v is the Doppler frequency shift, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0050] Based on the above scheme, when the cubic term coefficient of the fuzzy function of the cubic polynomial exponential sequence, the quadratic term coefficient of the fuzzy function of the cubic polynomial exponential sequence and the linear term coefficient of the fuzzy function of the cubic polynomial exponential sequence are not zero at the same time, it can be determined that the fuzzy function of the cubic polynomial exponential sequence in the fuzzy area does not have a peak value N, that is, the maximum value of the fuzzy function of the cubic polynomial exponential sequence in the fuzzy area does not exceed When the length of the cubic polynomial exponential sequence is long enough (e.g., N=839), N is much larger than That is to say, as long as the peak value of the fuzzy function is excluded from the fuzzy area, it can be ensured that the maximum value of the fuzzy function in the fuzzy area is small.

[0051] In some implementations of the first aspect, the radius of the cell where the terminal device is located is 0 to c (Δ T -1)T s / 2, where c is the speed of light, T s Denotes the symbol time interval, ΔT is the maximum round trip delay.

[0052] In some implementations of the first aspect, the moving speed range of the terminal device is -c(Δ F -1)Δf / 4f c to c(Δ F -1)Δf / 4f c , where c is the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, Δ F is the maximum Doppler shift.

[0053] In the second aspect, a communication method is provided, which can be executed by a second device, or can also be executed by a chip or circuit of the second device, and the present application does not limit this. For the convenience of description, the following is an example of execution by the second device. Among them, the second device can be a network device, or a chip, chip system or circuit in the network device, or a functional module in the network device that can call and execute a program.

[0054] The method includes: determining a first physical serial number according to a first logical serial number and a first mapping relationship, wherein the first mapping relationship is used to indicate the correspondence between the physical serial number and the logical serial number of a cubic polynomial exponential sequence, the cubic term coefficients of the cubic polynomial exponential sequence corresponding to each physical serial number are the same, the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequences corresponding to M consecutive physical serial numbers is less than or equal to a first threshold, the logical serial number is used to indicate a position index of the physical serial number, and M is greater than or equal to 1; receiving a first sequence, wherein the first sequence is determined according to the first physical serial number.

[0055] In one implementation, receiving the first sequence may be: the second device receives the first sequence from the first device. For example, the first device and the second device may both be included in a terminal device, or both be included in a network device, in which case it is explained that the second device receives the first sequence from the first device as an internal operation. For another example, the first device may be a terminal device or a device in a terminal device (such as a chip, a chip system, or a circuit of a terminal device), and the second device may be a network device or a device in a network device (such as a chip, a chip system, or a circuit of a network device), in which case it is explained that the second device receives the first sequence from the first device as an external operation.

[0056] According to the scheme provided by the present application, the second device can determine the correspondence between the logical sequence number and the physical sequence number of the cubic polynomial index sequence based on the first mapping relationship, and can also uniquely determine the corresponding first physical sequence number according to the first logical sequence number, and then determine multiple cubic polynomial index sequences according to the first physical sequence number, wherein the first sequence (i.e., the cubic polynomial index sequence) is an index sequence randomly determined from the multiple cubic polynomial index sequences, and synchronous communication is achieved with the first device by receiving the first sequence. Compared with the existing communication sequence, the sequence capacity of the cubic polynomial index sequence is increased, which can support the Doppler frequency deviation of more subcarrier spacings, and improve the configuration efficiency of sequence resources, so as to meet the transmission requirements of more first devices (e.g., terminal devices).

[0057] In certain implementations of the second aspect, the cubic polynomial exponential sequence belongs to the first cubic metric group or the second cubic metric group, the cubic metric of each cubic polynomial exponential sequence in the first cubic metric group is less than or equal to the first cubic metric, and the cubic metric of each cubic polynomial exponential sequence in the second cubic metric group is greater than the first cubic metric; the first cubic metric group includes one or more first subgroups, the multiple first subgroups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the first cubic metric group, the multiple first subgroups are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and each first subgroup corresponds to one or more cubic terms Coefficients, the multiple cubic term coefficients corresponding to the last first group to the first first group are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence; the second cubic metric group includes one or more second groups, the multiple second groups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the second cubic metric group, the multiple second groups are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, each second group corresponds to one or more cubic term coefficients, and the multiple cubic term coefficients corresponding to the first second group to the last second group are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence.

[0058] In certain implementations of the second aspect, one or more cubic term coefficients in the last first group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and one or more cubic term coefficients in the first second group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence.

[0059] In certain implementations of the second aspect, the cubic coefficients of the cubic polynomial exponential sequences in each first group are the same, and the maximum value of the mutual ambiguity function of any cubic polynomial exponential sequence in the first group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to The cubic coefficients of the cubic polynomial exponential sequences in each second group are the same, and the maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the second group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0060] Exemplarily, the first cubic metric group includes Ω L The first group, Ω L The first group corresponds to Ω L The cubic coefficient, Ω L The cubic coefficients are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in each first group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent first groups is less than or equal to Ω L is an integer greater than or equal to 1; the second cubic metric group includes Ω H The second group, Ω H The second group corresponds to Ω H The cubic coefficient, Ω H The cubic coefficients are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in each second group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent second groups is less than or equal to Ω H is an integer greater than or equal to 1.

[0061] In certain implementations of the second aspect, each first group includes one or more cubic polynomial exponential sequences with different cubic coefficients, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any first group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to Each second group contains one or more cubic polynomial exponential sequences with different cubic coefficients. The maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any second group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0062] Exemplarily, the first cubic metric group includes P first small groups, each of the P first small groups corresponds to Θ cubic term coefficients, wherein the Θ cubic term coefficients corresponding to the Pth first small group are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence, and the Θ cubic term coefficients corresponding to the Pth first small group to the first first small group are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence, the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in each first small group is less than or equal to δ, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent first small groups is less than or equal to P is an integer greater than or equal to 1; the second cubic metric group includes Q second small groups, each of the Q second small groups corresponds to Φ cubic term coefficients, wherein the Φ cubic term coefficients corresponding to the first second small group are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence, and the Φ cubic term coefficients corresponding to the first first small group to the Qth second small group are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence, the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in each second small group is less than or equal to δ, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent second small groups is less than or equal to Q is an integer greater than or equal to 1, and δ is a first threshold.

[0063] In certain implementations of the second aspect, all cubic polynomial exponential sequences in the first cubic metric group belong to a first subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequences in the first subgroup is less than or equal to All cubic polynomial exponential sequences in the second cubic metric group belong to a second subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the second subgroup is less than or equal to

[0064] Exemplarily, a first group corresponds to Ω L The cubic coefficient, Ω L The cubic coefficients are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent first groups is less than or equal to Ω L is an integer greater than 1; a second group corresponds to Ω H The cubic coefficient, Ω H The cubic coefficients are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent second groups is less than or equal to Ω H is an integer greater than 1.

[0065] In some implementations of the second aspect, the cubic polynomial exponential sequence is expressed as:

[0066]

[0067] Among them, a is the cubic term coefficient of the cubic polynomial exponential sequence, b is the quadratic term coefficient of the cubic polynomial exponential sequence, c is the linear term coefficient of the cubic polynomial exponential sequence, d is the constant term of the cubic polynomial exponential sequence, N is the sequence length of the cubic polynomial exponential sequence, N is a prime number, n∈{0,1,…,N-1}.

[0068] In certain implementations of the second aspect, the cubic term coefficient a of the cubic polynomial exponential sequence is associated with the quadratic term coefficient b of the cubic polynomial exponential sequence, specifically including: if the cubic term coefficient a∈{1,2,…,N-1} of the cubic polynomial exponential sequence, then the quadratic term coefficient b of the cubic polynomial exponential sequence=3akΔ T And the coefficient of the first-order term c = lΔ F ;in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0069] In certain implementations of the second aspect, when a cubic polynomial exponential sequence is mapped using time domain resources, a discrete time signal of the cubic polynomial exponential sequence is represented as:

[0070]

[0071] Where a = λ, b = 3λkΔ T , c=lΔ F , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, Δ F represents the maximum Doppler frequency shift, λ is a parameter associated with the cell, and k and l are parameters associated with the terminal equipment in the cell.

[0072] In certain implementations of the second aspect, when frequency domain resources are used to map a cubic polynomial exponential sequence, a discrete time signal of the cubic polynomial exponential sequence is represented as:

[0073]

[0074] Where a = λ, b = 3λkΔ F , c=lΔ T , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, Δ F represents the maximum Doppler frequency shift, λ is a parameter associated with the cell, and k and l are parameters associated with the terminal equipment in the cell.

[0075] In certain implementations of the second aspect, the sequence capacity of the cubic polynomial exponential sequence is positively correlated with the cube of the sequence length N of the cubic polynomial exponential sequence, wherein the sequence capacity of the cubic polynomial exponential sequence is N is a prime number, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift, Indicates rounding down.

[0076] In some implementations of the second aspect, for The cubic coefficient of the fuzzy function of the cubic polynomial exponential sequence, the quadratic coefficient of the fuzzy function of the cubic polynomial exponential sequence and the linear coefficient of the fuzzy function of the cubic polynomial exponential sequence are not zero at the same time, where τ is the round-trip delay, v is the Doppler frequency shift, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0077] In some implementations of the second aspect, the radius of the cell where the terminal device is located is 0 to c (Δ T -1)T s / 2, where c is the speed of light, T s Denotes the symbol time interval, Δ T is the maximum round trip delay.

[0078] In some implementations of the second aspect, the moving speed range of the terminal device is -c(Δ F -1)Δf / 4f c to c(Δ F -1)Δf / 4f c , where c is the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, Δ F is the maximum Doppler shift.

[0079] The beneficial effects of the above-mentioned second aspect and some implementation methods of the second aspect can be referred to the relevant description of the first aspect and will not be repeated here.

[0080] In the third aspect, a communication method is provided, which can be executed by a third device, or by a chip or circuit for a third device, and the present application does not limit this. For the convenience of description, the following is an example of execution by a third device. Among them, the third device can be a terminal device, or a chip, chip system or circuit in a terminal device, or a functional module in a terminal device that can call and execute a program; or the third device can be a network device, or a chip, chip system or circuit in a network device, or a functional module in a network device that can call and execute a program.

[0081] The method includes: dividing a cubic polynomial exponential sequence into a first cubic metric group or a second cubic metric group according to a first cubic metric, the cubic metric of the cubic polynomial exponential sequence in the first cubic metric group is less than or equal to the first cubic metric, and the cubic metric of the cubic polynomial exponential sequence in the second cubic metric group is greater than the first cubic metric; dividing the cubic polynomial exponential sequence in the first cubic metric group into one or more first subgroups according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence, and dividing the cubic polynomial exponential sequence in the second cubic metric group into one or more second subgroups; arranging multiple cubic term coefficients corresponding to the last first subgroup to the first first subgroup in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence, and arranging multiple cubic term coefficients corresponding to the first second subgroup to the last second subgroup in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence;

[0082] Among them, multiple first groups or multiple second groups are arranged in ascending order according to the cubic measure of the corresponding cubic polynomial exponential sequence, each first group or each second group corresponds to one or more cubic term coefficients, and the maximum value of the mutual fuzzy function of any two cubic polynomial exponential sequences in each first group or each second group is less than or equal to the first threshold; one or more cubic term coefficients in the last first group are arranged in ascending order according to the cubic measure of the corresponding cubic polynomial exponential sequence, and one or more cubic term coefficients in the first second group are arranged in ascending order according to the cubic measure of the corresponding cubic polynomial exponential sequence.

[0083] According to the scheme provided in the present application, a method for grouping cubic polynomial exponential sequences is provided, in which all cubic polynomial exponential sequences are divided into a first cubic metric group and a second cubic metric group through a first cubic metric, and then the first cubic metric group and the second cubic metric group are divided into multiple small groups according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequences in each cubic metric group. The cubic coefficients in each small group are arranged in ascending or descending order to ensure that the cubic metrics of adjacent cubic polynomial exponential sequences do not jump, thereby improving the configuration efficiency of sequence resources and the signal synchronization efficiency.

[0084] Optionally, the first threshold may be configured or preconfigured. For example, the first threshold δ may satisfy:

[0085]

[0086] Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0087] Optionally, the first cubic metric may be configured or preconfigured, for example, the first cubic metric CM=1.2dB, or other values. The first cubic metric group may be referred to as a low cubic metric group, and the second cubic metric group may be referred to as a high cubic metric group. It should be understood that the low cubic metric group and the high cubic metric group are relative, and this application does not limit this.

[0088] Optionally, the first group may be referred to as a first set, which means one or more first sets to which all cubic polynomial exponential sequences in the first cubic metric group belong after being divided, and similarly, the second group may be referred to as a second set, which means one or more second sets to which all cubic polynomial exponential sequences in the second cubic metric group belong after being divided. For ease of description, this application uniformly takes the first group and the second group as examples for explanation.

[0089] In certain implementations of the third aspect, the cubic coefficients of the cubic polynomial exponential sequences in each first group are the same, and the maximum value of the mutual ambiguity function of any cubic polynomial exponential sequence in the first group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to The cubic coefficients of the cubic polynomial exponential sequences in each second group are the same, and the maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the second group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0090] In certain implementations of the third aspect, each first group includes one or more cubic polynomial exponential sequences with different cubic term coefficients, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any first group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to Each second group contains one or more cubic polynomial exponential sequences with different cubic coefficients. The maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any second group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0091] In certain implementations of the third aspect, all cubic polynomial exponential sequences in the first cubic metric group belong to a first subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequences in the first subgroup is less than or equal to All cubic polynomial exponential sequences in the second cubic metric group belong to a second subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the second subgroup is less than or equal to

[0092] In some implementations of the third aspect, the cubic polynomial exponential sequence is expressed as:

[0093]

[0094] Among them, a is the cubic term coefficient of the cubic polynomial exponential sequence, b is the quadratic term coefficient of the cubic polynomial exponential sequence, c is the linear term coefficient of the cubic polynomial exponential sequence, d is the constant term of the cubic polynomial exponential sequence, N is the sequence length of the cubic polynomial exponential sequence, N is a prime number, n∈{0,1,…,N-1}.

[0095] In certain implementations of the third aspect, the cubic term coefficient a of the cubic polynomial exponential sequence is associated with the quadratic term coefficient b of the cubic polynomial exponential sequence, specifically including: if the cubic term coefficient a∈{1,2,…,N-1} of the cubic polynomial exponential sequence, then the quadratic term coefficient b of the cubic polynomial exponential sequence=3akΔ T And the coefficient of the first-order term c = lΔ F ;in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0096] In certain implementations of the third aspect, when a cubic polynomial exponential sequence is mapped using time domain resources, a discrete time signal of the cubic polynomial exponential sequence is represented as:

[0097]

[0098] Where a = λ, b = 3λkΔ T , c=lΔ F, d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, Δ F represents the maximum Doppler frequency shift, λ is a parameter associated with the cell, and k and l are parameters associated with the terminal equipment in the cell.

[0099] In certain implementations of the third aspect, when frequency domain resources are used to map a cubic polynomial exponential sequence, a discrete time signal of the cubic polynomial exponential sequence is represented as:

[0100]

[0101] Where a = λ, b = 3λkΔ F , c=lΔ T , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, Δ F represents the maximum Doppler frequency shift, λ is a parameter associated with the cell, and k and l are parameters associated with the terminal equipment in the cell.

[0102] In certain implementations of the third aspect, the sequence capacity of the cubic polynomial exponential sequence is positively correlated with the cube of the sequence length N of the cubic polynomial exponential sequence, wherein the sequence capacity of the cubic polynomial exponential sequence is N is a prime number, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift, Indicates rounding down.

[0103] In some implementations of the third aspect, for The cubic coefficient of the fuzzy function of the cubic polynomial exponential sequence, the quadratic coefficient of the fuzzy function of the cubic polynomial exponential sequence and the linear coefficient of the fuzzy function of the cubic polynomial exponential sequence are not zero at the same time, where τ is the round-trip delay, v is the Doppler frequency shift, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0104] In some implementations of the third aspect, the radius of the cell where the terminal device is located is 0 to c (Δ T -1)T s / 2, where c is the speed of light, T s Denotes the symbol time interval, Δ T is the maximum round trip delay.

[0105] In some implementations of the second aspect, the moving speed range of the terminal device is -c(ΔF -1)Δf / 4f c to c(Δ F -1)Δf / 4f c , where c is the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, Δ F is the maximum Doppler shift.

[0106] The beneficial effects of the third aspect and some implementation methods of the third aspect can be referred to the relevant description of the first aspect and will not be repeated here.

[0107] In a fourth aspect, a communication device is provided, which may be a first device, or a module or unit (such as a chip, or a chip system, or a circuit) in the first device corresponding to the method, operation, step, or action described in the first aspect, or a device that can be used in conjunction with the first device. The first device may be a terminal device.

[0108] In a possible implementation, the communication device includes: a transceiver unit (or a communication module), and a processing unit (or a processing module) connected to the transceiver unit.

[0109] A processing unit, used to determine a first physical serial number according to a first logical serial number and a first mapping relationship, where the first mapping relationship is used to indicate a correspondence between a physical serial number and a logical serial number of a cubic polynomial exponential sequence, where the cubic term coefficients of the cubic polynomial exponential sequence corresponding to each physical serial number are the same, where the maximum value of a mutual fuzzy function of the cubic polynomial exponential sequences corresponding to M consecutive physical serial numbers is less than or equal to a first threshold, where the logical serial number is used to indicate a position index of the physical serial number, where M is greater than or equal to 1; and a transceiver unit, used to send a first sequence, where the first sequence is determined according to the first physical serial number.

[0110] In combination with the fourth aspect, in some implementations of the fourth aspect, the first threshold δ satisfies:

[0111]

[0112] Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0113] In combination with the fourth aspect, in certain implementations of the fourth aspect, the cubic polynomial exponential sequence belongs to the first cubic metric group or the second cubic metric group, the cubic metric of each cubic polynomial exponential sequence in the first cubic metric group is less than or equal to the first cubic metric, and the cubic metric of each cubic polynomial exponential sequence in the second cubic metric group is greater than the first cubic metric; the first cubic metric group includes one or more first subgroups, the multiple first subgroups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the first cubic metric group, the multiple first subgroups are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and each first subgroup corresponds to one or more Cubic term coefficients, the multiple cubic term coefficients corresponding to the last first group to the first first group are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence; the second cubic metric group includes one or more second groups, the multiple second groups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the second cubic metric group, the multiple second groups are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, each second group corresponds to one or more cubic term coefficients, and the multiple cubic term coefficients corresponding to the first second group to the last second group are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence.

[0114] In combination with the fourth aspect, in certain implementations of the fourth aspect, one or more cubic term coefficients in the last first group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and one or more cubic term coefficients in the first second group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence.

[0115] In some implementations of the fourth aspect, the cubic coefficients of the cubic polynomial exponential sequences in each first group are the same, and the maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the first group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to The cubic coefficients of the cubic polynomial exponential sequences in each second group are the same, and the maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the second group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0116] In combination with the fourth aspect, in certain implementations of the fourth aspect, each first group includes one or more cubic polynomial exponential sequences with different cubic term coefficients, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any first group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to Each second group contains one or more cubic polynomial exponential sequences with different cubic coefficients. The maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any second group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0117] In some implementations of the fourth aspect, all cubic polynomial exponential sequences in the first cubic metric group belong to a first subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the first subgroup is less than or equal to All cubic polynomial exponential sequences in the second cubic metric group belong to a second subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the second subgroup is less than or equal to

[0118] In combination with the fourth aspect, in certain implementations of the fourth aspect, the cubic polynomial exponential sequence is expressed as:

[0119]

[0120] Among them, a is the cubic term coefficient of the cubic polynomial exponential sequence, b is the quadratic term coefficient of the cubic polynomial exponential sequence, c is the linear term coefficient of the cubic polynomial exponential sequence, d is the constant term of the cubic polynomial exponential sequence, N is the sequence length of the cubic polynomial exponential sequence, N is a prime number, n∈{0,1,…,N-1}.

[0121] In some implementations of the fourth aspect, the cubic term coefficient a of the cubic polynomial exponential sequence is associated with the quadratic term coefficient b of the cubic polynomial exponential sequence, specifically including: if the cubic term coefficient a∈{1,2,…,N-1} of the cubic polynomial exponential sequence, then the quadratic term coefficient b of the cubic polynomial exponential sequence=3akΔ T And the coefficient of the first-order term c = lΔ F ;in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0122] In combination with the fourth aspect, in certain implementations of the fourth aspect, when a cubic polynomial exponential sequence is mapped using time domain resources, a discrete time signal of the cubic polynomial exponential sequence is represented as:

[0123]

[0124] Where a = λ, b = 3λkΔ T , c=lΔ F , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, Δ F represents the maximum Doppler frequency shift, λ is a parameter associated with the cell, and k and l are parameters associated with the terminal equipment in the cell.

[0125] In combination with the fourth aspect, in certain implementations of the fourth aspect, when frequency domain resources are used to map a cubic polynomial exponential sequence, a discrete time signal of the cubic polynomial exponential sequence is represented as:

[0126]

[0127] Where a = λ, b = 3λkΔ F , c=lΔ T , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, Δ F represents the maximum Doppler frequency shift, λ is a parameter associated with the cell, and k and l are parameters associated with the terminal equipment in the cell.

[0128] In some implementations of the fourth aspect, the sequence capacity of the cubic polynomial exponential sequence is positively correlated with the cube of the sequence length N of the cubic polynomial exponential sequence, wherein the sequence capacity of the cubic polynomial exponential sequence is N is a prime number, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift, Indicates rounding down.

[0129] In combination with the fourth aspect, in some implementations of the fourth aspect, for The cubic coefficient of the fuzzy function of the cubic polynomial exponential sequence, the quadratic coefficient of the fuzzy function of the cubic polynomial exponential sequence and the linear coefficient of the fuzzy function of the cubic polynomial exponential sequence are not zero at the same time, where τ is the round-trip delay, v is the Doppler frequency shift, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0130] In combination with the fourth aspect, in certain implementations of the fourth aspect, the radius of the cell where the terminal device is located is 0 to c (Δ T -1)T s / 2, where c is the speed of light, T s Denotes the symbol time interval, Δ T is the maximum round trip delay.

[0131] In combination with the fourth aspect, in certain implementations of the fourth aspect, the moving speed range of the terminal device is -c(Δ F -1)Δf / 4f c to c(Δ F -1)Δf / 4f c , where c is the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, Δ F is the maximum Doppler shift.

[0132] In a fifth aspect, a communication device is provided, which may be a second device, or a module or unit (such as a chip, or a chip system, or a circuit) in a third device for executing the method, operation, step, or action described in the second aspect, or a device that can be used in conjunction with the second device. The second device may be a network device.

[0133] In a possible implementation, the communication device includes: a transceiver unit (or a communication module), and a processing unit (or a processing module) connected to the transceiver unit.

[0134] A processing unit is used to determine a first physical serial number according to a first logical serial number and a first mapping relationship, where the first mapping relationship is used to indicate a correspondence between a physical serial number and a logical serial number of a cubic polynomial exponential sequence, where the cubic term coefficients of the cubic polynomial exponential sequence corresponding to each physical serial number are the same, where the maximum value of a mutual fuzzy function of the cubic polynomial exponential sequences corresponding to M consecutive physical serial numbers is less than or equal to a first threshold, where the logical serial number is used to indicate a position index of the physical serial number, where M is greater than or equal to 1; and a transceiver unit is used to receive a first sequence, where the first sequence is determined according to the first physical serial number.

[0135] In combination with the fifth aspect, in some implementations of the fifth aspect, the first threshold δ satisfies:

[0136]

[0137] Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0138] In combination with the fifth aspect, in certain implementations of the fifth aspect, the cubic polynomial exponential sequence belongs to the first cubic metric group or the second cubic metric group, the cubic metric of each cubic polynomial exponential sequence in the first cubic metric group is less than or equal to the first cubic metric, and the cubic metric of each cubic polynomial exponential sequence in the second cubic metric group is greater than the first cubic metric; the first cubic metric group includes one or more first subgroups, the multiple first subgroups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the first cubic metric group, the multiple first subgroups are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and each first subgroup corresponds to one or more Cubic term coefficients, the multiple cubic term coefficients corresponding to the last first group to the first first group are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence; the second cubic metric group includes one or more second groups, the multiple second groups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the second cubic metric group, the multiple second groups are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, each second group corresponds to one or more cubic term coefficients, and the multiple cubic term coefficients corresponding to the first second group to the last second group are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence.

[0139] In combination with the fifth aspect, in certain implementations of the fifth aspect, one or more cubic term coefficients in the last first group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and one or more cubic term coefficients in the first second group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence.

[0140] In some implementations of the fifth aspect, the cubic coefficients of the cubic polynomial exponential sequences in each first group are the same, and the maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the first group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to The cubic coefficients of the cubic polynomial exponential sequences in each second group are the same, and the maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the second group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0141] In combination with the fifth aspect, in certain implementations of the fifth aspect, each first group includes one or more cubic polynomial exponential sequences with different cubic term coefficients, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any first group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to Each second group contains one or more cubic polynomial exponential sequences with different cubic coefficients. The maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any second group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0142] In some implementations of the fifth aspect, all cubic polynomial exponential sequences in the first cubic metric group belong to a first subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the first subgroup is less than or equal to All cubic polynomial exponential sequences in the second cubic metric group belong to a second subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the second subgroup is less than or equal to

[0143] In combination with the fifth aspect, in certain implementations of the fifth aspect, the cubic polynomial exponential sequence is expressed as:

[0144]

[0145] Among them, a is the cubic term coefficient of the cubic polynomial exponential sequence, b is the quadratic term coefficient of the cubic polynomial exponential sequence, c is the linear term coefficient of the cubic polynomial exponential sequence, d is the constant term of the cubic polynomial exponential sequence, N is the sequence length of the cubic polynomial exponential sequence, N is a prime number, n∈{0,1,…,N-1}.

[0146] In some implementations of the fifth aspect, the cubic term coefficient a of the cubic polynomial exponential sequence is associated with the quadratic term coefficient b of the cubic polynomial exponential sequence, specifically including: if the cubic term coefficient a∈{1,2,…,N-1} of the cubic polynomial exponential sequence, then the quadratic term coefficient b of the cubic polynomial exponential sequence=3akΔ T And the coefficient of the first-order term c = lΔ F ;in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0147] In combination with the fifth aspect, in certain implementations of the fifth aspect, when a cubic polynomial exponential sequence is mapped using time domain resources, a discrete time signal of the cubic polynomial exponential sequence is represented as:

[0148]

[0149] Where a = λ, b = 3λkΔ T , c=lΔ F , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, Δ F represents the maximum Doppler frequency shift, λ is a parameter associated with the cell, and k and l are parameters associated with the terminal equipment in the cell.

[0150] In combination with the fifth aspect, in certain implementations of the fifth aspect, when frequency domain resources are used to map a cubic polynomial exponential sequence, a discrete time signal of the cubic polynomial exponential sequence is represented as:

[0151]

[0152] Where a = λ, b = 3λkΔ F , c=lΔ T , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, Δ F represents the maximum Doppler frequency shift, λ is a parameter associated with the cell, and k and l are parameters associated with the terminal equipment in the cell.

[0153] In some implementations of the fifth aspect, the sequence capacity of the cubic polynomial exponential sequence is positively correlated with the cube of the sequence length N of the cubic polynomial exponential sequence, wherein the sequence capacity of the cubic polynomial exponential sequence is N is a prime number, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift, Indicates rounding down.

[0154] In combination with the fifth aspect, in some implementations of the fifth aspect, for The cubic coefficient of the fuzzy function of the cubic polynomial exponential sequence, the quadratic coefficient of the fuzzy function of the cubic polynomial exponential sequence and the linear coefficient of the fuzzy function of the cubic polynomial exponential sequence are not zero at the same time, where τ is the round-trip delay, ν is the Doppler shift, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0155] In combination with the fifth aspect, in some implementations of the fifth aspect, the radius of the cell where the terminal device is located is 0 to c (Δ T -1)T s / 2, where c is the speed of light, T s Denotes the symbol time interval, Δ T is the maximum round trip delay.

[0156] In combination with the fifth aspect, in some implementations of the fifth aspect, the moving speed range of the terminal device is -c(Δ F -1)Δf / 4f c to c(Δ F -1)Δf / 4f c , where c is the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, Δ F is the maximum Doppler shift.

[0157] In a sixth aspect, a communication device is provided, which may be a third device, or a module or unit (such as a chip, or a chip system, or a circuit) in the third device corresponding to the method, operation, step, or action described in the third aspect, or a device that can be used in conjunction with the third device. The third device may be a terminal device or a network device.

[0158] In a possible implementation, the communication device includes: a transceiver unit (or a communication module), and a processing unit (or a processing module) connected to the transceiver unit.

[0159] A processing unit is used to: divide a cubic polynomial exponential sequence into a first cubic metric group or a second cubic metric group according to a first cubic metric, the cubic metric of the cubic polynomial exponential sequence in the first cubic metric group is less than or equal to the first cubic metric, and the cubic metric of the cubic polynomial exponential sequence in the second cubic metric group is greater than the first cubic metric; divide the cubic polynomial exponential sequence in the first cubic metric group into one or more first subgroups according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence, and divide the cubic polynomial exponential sequence in the second cubic metric group into one or more second subgroups; and arrange multiple cubic term coefficients corresponding to the last first subgroup to the first first subgroup alternately in ascending or descending order of the cubic metric of the cubic polynomial exponential sequence. And the multiple cubic term coefficients corresponding to the first second group to the last second group are arranged alternately in ascending or descending order according to the cubic measure of the cubic polynomial exponential sequence; wherein, the multiple first groups or the multiple second groups are arranged in ascending order according to the cubic measure of the corresponding cubic polynomial exponential sequence, each first group or each second group corresponds to one or more cubic term coefficients, and the maximum value of the mutual fuzzy function of any two cubic polynomial exponential sequences in each first group or each second group is less than or equal to the first threshold; the one or more cubic term coefficients in the last first group are arranged in ascending order according to the cubic measure of the corresponding cubic polynomial exponential sequence, and the one or more cubic term coefficients in the first second group are arranged in ascending order according to the cubic measure of the corresponding cubic polynomial exponential sequence.

[0160] In combination with the sixth aspect, in some implementations of the sixth aspect, the first threshold δ satisfies:

[0161]

[0162] Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0163] In combination with the sixth aspect, in certain implementations of the sixth aspect, the cubic coefficients of the cubic polynomial exponential sequences in each first group are the same, and the maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the first group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to The cubic coefficients of the cubic polynomial exponential sequences in each second group are the same, and the maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the second group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0164] In combination with the sixth aspect, in certain implementations of the sixth aspect, each first group includes one or more cubic polynomial exponential sequences with different cubic term coefficients, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any first group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to Each second group contains one or more cubic polynomial exponential sequences with different cubic coefficients. The maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any second group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0165] In some implementations of the sixth aspect, all cubic polynomial exponential sequences in the first cubic metric group belong to a first subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the first subgroup is less than or equal to All cubic polynomial exponential sequences in the second cubic metric group belong to a second subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the second subgroup is less than or equal to

[0166] In combination with the sixth aspect, in certain implementations of the sixth aspect, the cubic polynomial exponential sequence is expressed as:

[0167]

[0168] Among them, a is the cubic term coefficient of the cubic polynomial exponential sequence, b is the quadratic term coefficient of the cubic polynomial exponential sequence, c is the linear term coefficient of the cubic polynomial exponential sequence, d is the constant term of the cubic polynomial exponential sequence, N is the sequence length of the cubic polynomial exponential sequence, N is a prime number, n∈{0,1,…,N-1}.

[0169] In some implementations of the sixth aspect, the cubic term coefficient a of the cubic polynomial exponential sequence is associated with the quadratic term coefficient b of the cubic polynomial exponential sequence, specifically including: if the cubic term coefficient a∈{1,2,…,N-1} of the cubic polynomial exponential sequence, then the quadratic term coefficient b of the cubic polynomial exponential sequence=3akΔ T And the coefficient of the first-order term c = lΔ F ;in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0170] In combination with the sixth aspect, in certain implementations of the sixth aspect, when a cubic polynomial exponential sequence is mapped using time domain resources, a discrete time signal of the cubic polynomial exponential sequence is represented as:

[0171]

[0172] Where a = λ, b = 3λkΔ T , c=lΔ F , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, Δ F represents the maximum Doppler frequency deviation, λ is a parameter associated with the cell, and k and l are parameters associated with the terminal equipment in the cell.

[0173] In combination with the sixth aspect, in certain implementations of the sixth aspect, when frequency domain resources are used to map a cubic polynomial exponential sequence, a discrete time signal of the cubic polynomial exponential sequence is represented as:

[0174]

[0175] Where a = λ, b = 3λkΔ F , c=lΔ T , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, Δ F represents the maximum Doppler frequency shift, λ is a parameter associated with the cell, and k and l are parameters associated with the terminal equipment in the cell.

[0176] In combination with the sixth aspect, in certain implementations of the sixth aspect, the sequence capacity of the cubic polynomial exponential sequence is positively correlated with the cube of the sequence length N of the cubic polynomial exponential sequence, wherein the sequence capacity of the cubic polynomial exponential sequence is N is a prime number, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift, Indicates rounding down.

[0177] In combination with the sixth aspect, in some implementations of the sixth aspect, for The cubic coefficient of the fuzzy function of the cubic polynomial exponential sequence, the quadratic coefficient of the fuzzy function of the cubic polynomial exponential sequence and the linear coefficient of the fuzzy function of the cubic polynomial exponential sequence are not zero at the same time, where τ is the round-trip delay, v is the Doppler frequency shift, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0178] In combination with the sixth aspect, in some implementations of the sixth aspect, the radius of the cell where the terminal device is located is 0 to c (Δ T -1)T s / 2, where c is the speed of light, T s Denotes the symbol time interval, Δ T is the maximum round trip delay.

[0179] In combination with the sixth aspect, in some implementations of the sixth aspect, the moving speed range of the terminal device is -c(Δ F -1)Δf / 4f c to c(Δ F -1)Δf / 4f c , where c is the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, Δ F is the maximum Doppler shift.

[0180] In the seventh aspect, a communication device is provided, comprising a transceiver, a processor and a memory, wherein the processor is used to control the transceiver to receive and send signals, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the communication device executes a method in any possible implementation of the first to third aspects above.

[0181] Optionally, the number of the processors is one or more, and the number of the memories is one or more.

[0182] Optionally, the memory may be included in the communication device. As one approach, the memory may be provided separately from the processor; as another approach, the memory may be located in the processor and integrated with the processor.

[0183] Optionally, the memory may also be outside the communication device and coupled to the processor.

[0184] Optionally, the communication device also includes: a transmitter (transmitter) and a receiver (receiver).

[0185] In an eighth aspect, a communication device is provided, which may be a first device, or a module or unit (such as a chip, or a chip system, or a circuit) in the first device that corresponds one-to-one to the method, operation, step, or action described in the first aspect, or a device that can be used in combination with the first device.

[0186] In the ninth aspect, a communication device is provided, which may be a second device, or a module or unit (such as a chip, or a chip system, or a circuit) in the second device that corresponds one-to-one to the method, operation, step, or action described in the second aspect, or a device that can be used in combination with the second device.

[0187] In the tenth aspect, a communication device is provided, which may be a third device, or a module or unit (such as a chip, or a chip system, or a circuit) in the third device that corresponds one-to-one to the method, operation, step, or action described in the third aspect, or a device that can be used in combination with the third device.

[0188] In an eleventh aspect, a communication system is provided, comprising a first device and a second device, wherein the first device is used to execute the method in any possible implementation of the first aspect, and the second device is used to execute the method in any possible implementation of the second aspect. Optionally, the communication system may also include other devices used in conjunction with the first device and / or the second device.

[0189] In a twelfth aspect, a communication system is provided, including a third device, wherein the third device is used to execute the method in any possible implementation of the third aspect. Optionally, the communication system may also include other devices used in conjunction with the third device.

[0190] In the thirteenth aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program or code, and when the computer program or code is run on a computer, the computer executes a method in any possible implementation of the first to third aspects above.

[0191] In a fourteenth aspect, a chip or a chip system is provided, comprising at least one processor, the at least one processor is coupled to a memory, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that a device equipped with the chip or the chip system performs the method in any possible implementation of the first to third aspects above. The chip may include an input circuit or interface for sending information or data, and an output circuit or interface for receiving information or data.

[0192] In a fifteenth aspect, a computer program product is provided, the computer program product comprising: a computer program code, when the computer program code is executed, the computer executes the method in any possible implementation of the first to third aspects above. BRIEF DESCRIPTION OF THE DRAWINGS

[0193] Figure 1It is a schematic diagram of the structure of a communication system;

[0194] Figure 2 It is a schematic diagram of the self-ambiguity function and mutual ambiguity function of Zadoff-Chu type sequence;

[0195] Figure 3 is a schematic diagram of an interaction flow of a communication method 300 provided in an embodiment of the present application;

[0196] Figure 4 It is a schematic diagram of dividing a cubic polynomial exponential sequence provided in an embodiment of the present application;

[0197] Figure 5 It is a schematic diagram of dividing another cubic polynomial exponential sequence provided in an embodiment of the present application;

[0198] Figure 6 It is another schematic diagram of dividing a cubic polynomial exponential sequence provided in an embodiment of the present application;

[0199] Figure 7 It is another schematic diagram of dividing a cubic polynomial exponential sequence provided in an embodiment of the present application;

[0200] Figure 8 is a schematic diagram of an interaction flow of a communication method 800 provided in an embodiment of the present application;

[0201] Fig. 9 is a schematic diagram of the structure of a communication device 900 provided in an embodiment of the present application;

[0202] Fig.10 It is a schematic diagram of the structure of the communication device 1000 provided in an embodiment of the present application. DETAILED DESCRIPTION

[0203] The technical solutions in the embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0204] The technical solution provided in this application can be applied to various communication systems, such as: fifth generation (5th generation, 5G) or new radio (new radio, NR) system, long term evolution (long term evolution, LTE) system, LTE frequency division duplex (frequency division duplex, FDD) system, LTE time division duplex (time division duplex, TDD) system, etc. The technical solution provided in this application can also be applied to future communication systems, such as the sixth generation (6th generation, 6G) mobile communication system. The technical solution provided in this application can also be applied to device to device (device to device, D2D) communication, vehicle to everything (vehicle-to-everything, V2X) communication, machine to machine (machine to machine, M2M) communication, machine type communication (machine type communication, MTC), and Internet of things (Internet of things, IoT) communication system or other communication systems.

[0205] As an example, V2X communication may include: vehicle-to-vehicle (V2V) communication, vehicle-to-roadside infrastructure (V2I) communication, vehicle-to-pedestrian (V2P) communication, and vehicle-to-network (V2N) communication. V2V refers to communication between vehicles. V2P refers to communication between vehicles and people (including pedestrians, cyclists, drivers, or passengers, etc.). V2I refers to communication between vehicles and infrastructure, such as road side units (RSU) or network equipment. Among them, RSU includes two types: terminal-type RSU, which is in a non-mobile state because it is located on the roadside and does not need to consider mobility; base station-type RSU, which can provide timing synchronization and resource scheduling to vehicles communicating with it. V2N refers to communication between vehicles and network equipment. It can be understood that the above is an exemplary description and the embodiments of the present application are not limiting. For example, V2X may also include V2X communications based on the NR system of the current 3GPP Rel-16 and subsequent versions.

[0206] The terminal device in the embodiments of the present application may also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user device.

[0207] The terminal device may be a device that provides voice / data to users, for example, a handheld device or a vehicle-mounted device with a wireless connection function. At present, some examples of terminals are: mobile phones, tablet computers, laptop computers, PDAs, mobile internet devices (MIDs), wearable devices, virtual reality (VR) devices, augmented reality (AR) devices, wireless terminals in industrial control, wireless terminals in self driving, wireless terminals in remote medical surgery, wireless terminals in smart grids, wireless terminals in transportation safety, wireless terminals in smart cities, wireless terminals in smart homes, cellular phones, cordless phones, session initiation protocol (SIP) phones, wireless local loop (WLL) stations, personal digital assistants (PDAs), handheld devices with wireless communication functions, computing devices or other processing devices connected to wireless modems, wearable devices, terminal devices in 5G networks or 6G and future evolved public land mobile communication networks (public land mobile The embodiments of the present application do not limit this.

[0208] As an example but not limited to the embodiments of the present application, the terminal device may also be a wearable device. Wearable devices may also be called wearable smart devices, which are a general term for wearable devices that are intelligently designed and developed using wearable technology for daily wear, such as glasses, gloves, watches, clothing, and shoes. A wearable device is a portable device that is worn directly on the body or integrated into the user's clothes or accessories. Wearable devices are not only hardware devices, but also powerful functions achieved through software support, data interaction, and cloud interaction. Broadly speaking, wearable smart devices include full-featured, large-sized, and fully or partially independent of smartphones, such as smart watches or smart glasses, as well as devices that only focus on a certain type of application function and need to be used in conjunction with other devices such as smartphones, such as various types of smart bracelets and smart jewelry for vital sign monitoring.

[0209] In the embodiment of the present application, the device for realizing the function of the terminal device, i.e., the terminal device, can be the terminal device, or a device capable of supporting the terminal device to realize the function, such as a chip system or a chip, which can be installed in the terminal device. In the embodiment of the present application, the chip system can be composed of a chip, or can include a chip and other discrete devices.

[0210] The network device in the embodiment of the present application may be a device for communicating with a terminal device, and the network device may also be referred to as an access network device or a wireless access network device, such as a base station. The network device in the embodiment of the present application may refer to a wireless access network (RAN) node (or device) that connects a terminal device to a wireless network. A base station may broadly cover various names as follows, or be replaced with the following names, such as: NodeB, evolved NodeB (eNB), next generation NodeB (gNB), relay station, access point, transmission point (TRP), transmission point (TP), master station, auxiliary station, multi-standard wireless (motor slide retainer, MSR) node, home base station, network controller, access node, wireless node, access point (AP), transmission node, transceiver node, baseband unit (BBU), remote radio unit (RRU), active antenna unit (AAU), remote radio head (RRH), central unit (CU), distributed unit (DU), positioning node, etc. A base station may be a macro base station, a micro base station, a relay node, a donor node, or the like, or a combination thereof. The base station may also refer to a communication module, modem or chip used to be set in the aforementioned equipment or device. The base station may also be a mobile switching center and a device that performs the base station function in D2D, V2X, and M2M communications, a network-side device in a 6G network, and a device that performs the base station function in a future communication system. The base station may support networks with the same or different access technologies. The embodiments of the present application do not limit the specific technology and specific device form used by the network equipment.

[0211] Base stations can be fixed or mobile. For example, a helicopter or drone can be configured to act as a mobile base station, and one or more cells can move based on the location of the mobile base station. In other examples, a helicopter or drone can be configured to act as a device that communicates with another base station.

[0212] In some deployments, the network device mentioned in the embodiments of the present application may be a device including a CU, or a DU, or a device including a CU and a DU, or a control plane CU node (central unit control plane (central unit-control plane, CU-CP)) and a user plane CU node (central unit user plane (central unit-user plane, CU-UP)) and a DU node.

[0213] In the embodiment of the present application, the device for realizing the function of the network device can be a network device, or a device capable of supporting the network device to realize the function, such as a chip system or a chip, which can be installed in the network device. In the embodiment of the present application, the chip system can be composed of a chip, or can include a chip and other discrete devices.

[0214] The network equipment and terminal equipment can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; they can also be deployed on the water surface; they can also be deployed on aircraft, balloons and satellites in the air. The embodiments of the present application do not limit the scenarios in which the network equipment and terminal equipment are located.

[0215] Combine the following Figure 1 A communication system applicable to an embodiment of the present application is briefly introduced as follows.

[0216] Figure 1 1 is a schematic diagram of the structure of a communication system 100 applicable to an embodiment of the present application. Figure 1 As shown, the communication system may include a network device (e.g., gNB 107) and a terminal device (e.g., UE 101-106). The network device may include one antenna or multiple antennas. In addition, the network device may additionally include a transmitter chain and a receiver chain, and those skilled in the art will appreciate that they may include multiple components related to signal transmission and reception (e.g., processors, modulators, multiplexers, demodulators, demultiplexers, or antennas, etc.). Figure 1 This is just a simplified diagram for example. Figure 1 The number of terminal devices in the communication system is only for illustration, and the number of terminal devices in the communication system may be other numbers. In addition, the communication system may also include other communication devices. Figure 1Not drawn in the figure. In the communication system, the terminal device (e.g., UE 101-106) can determine the frequency resource from the frequency resource set, and send an uplink signal to the network device (e.g., gNB 107) on the frequency resource. Correspondingly, the network device (e.g., gNB 107) receives the uplink signal. Similarly, in the communication system, the network device (e.g., gNB107) can also send a downlink signal to the terminal device (e.g., UE 101-106) on the determined frequency resource.

[0217] It should be noted that the embodiments of the present application do not particularly limit the specific structure of the execution subject of the method provided by the embodiments of the present application. As long as it is possible to communicate according to the method provided by the embodiments of the present application by running a program that records the code of the method provided by the embodiments of the present application, for example, the execution subject of the method provided by the embodiments of the present application may be the first device, or it may be a functional module in the first device that can call and execute the program, or it may be a module or unit (such as a chip, or a chip system, or a circuit) in the first device that corresponds one-to-one to the method or operation or step or action described in the first aspect, or it may be other devices that can be used in combination with the first device.

[0218] To facilitate understanding of the embodiments of the present application, the terms and technical principles involved in the present application are first briefly explained.

[0219] 1) Fuzzy function;

[0220] There are two types of fuzzy functions: self-fuzzy functions and mutual fuzzy functions.

[0221] The self-ambiguity function refers to the correlation between signal #1 and signal #2, where signal #2 is the signal of signal #1 after being affected by time delay and Doppler frequency shift.

[0222] The mutual ambiguity function refers to the correlation between signal #A and signal #B, where signal #A is the signal of signal #C after being affected by time delay and Doppler frequency shift, and signal #B and signal #C are in the same sequence set.

[0223] 2) Zero fuzzy zone;

[0224] The zero ambiguity zone means that within a certain delay and Doppler interval, the ambiguity function is equal to zero, or in other words, the ambiguity zone means that within the range of maximum round-trip delay and maximum Doppler frequency shift, the ambiguity function is equal to zero.

[0225] 3) Low blur area;

[0226] The low ambiguity zone means that within a certain delay and Doppler interval, the ambiguity function value is less than or equal to the preset threshold (or does not exceed the preset threshold). In other words, the low ambiguity zone means that within the maximum round-trip delay and maximum Doppler frequency shift range, the ambiguity function is less than or equal to the preset threshold.

[0227] 4) Zero correlation zone;

[0228] The zero correlation zone means that within a certain time delay interval, the correlation function is equal to zero, or in other words, the zero correlation zone means that within the maximum round-trip delay range (there is no Doppler frequency shift), the correlation function is equal to zero.

[0229] 5) Low correlation area;

[0230] The low correlation zone means that within a certain delay interval, the correlation function value is less than or equal to the preset threshold (or does not exceed the preset threshold). In other words, the low correlation zone means that within the maximum round-trip delay range (there is no Doppler frequency shift), the correlation function is less than or equal to the preset threshold.

[0231] 6) Sequence capacity;

[0232] Sequence capacity refers to the number of sequences contained in the sequence set. For Zadoff-Chu sequences, sequence capacity refers to the number of sequences constructed by different root indices and cyclic shifts.

[0233] 7) Cubic metric (CM);

[0234] Cubic metric is defined as:

[0235]

[0236] Here, rms(·) represents root mean square.

[0237] 8) Exponential Sum Theorem (Weil Bound on Exponential Sum);

[0238] If the d-degree polynomial p(n) = p d nd+p d-1 n d-1 The coefficient of the highest order term in +…+p1n+p0 Coefficients of non-highest-order terms N is a prime number, d ≥ 1, then the exponential sum of the polynomial p(n) satisfies:

[0239]

[0240] In particular, when d = 2, the exponential sum of the polynomial p(n) degenerates into a Gaussian sum

[0241] In the communication system, commonly used communication sequences include Alltop sequence, Zadoff-Chu sequence (abbreviated as ZC sequence), and Zadoff-Chu Cover Alltop sequence. The correlation of the sequence can be used to realize downlink synchronization signal and uplink random access, and the orthogonality of the sequence can be used to realize pilot multiplexing. Common sequence evaluation indicators include at least one of the following: autocorrelation, cross-correlation, sequence capacity, frequency offset resistance, peak-to-average power ratio (PAPR), time domain constant modulus, or frequency domain constant modulus, etc.

[0242] Figure 2 It is a schematic diagram of the self-ambiguity function and mutual ambiguity function of the Zadoff-Chu sequence (i.e., a sequence similar to the ZC sequence, which can also be called a quadratic polynomial exponential sequence). Among them, Figure 2 (a) shows the self-ambiguity function of the ZC-type sequence, Figure 2 (b) shows the mutual ambiguity function of the ZC-type sequence. Figure 2 From (a), we can see that the self-ambiguity function of the ZC-type sequence has multiple peaks in the delay-Doppler plane, that is, the self-ambiguity function of the ZC-type sequence has a multi-peak characteristic. Figure 2 From (b), we can see that the mutual ambiguity function of the ZC-type sequence has no peak in the delay-Doppler plane, and the maximum value of the mutual ambiguity function of the ZC-type sequence is

[0243] For example, the physical random access channel (PRACH) usually uses different cyclic shifts of the ZC sequence to form a zero correlation zone to achieve uplink user access and delay estimation, and then measure the distance of the user relative to the base station. For example, the discrete time signal of the ZC sequence can be expressed as:

[0244]

[0245] Among them, Δ T represents the zero correlation zone, k represents the cyclic shift index, N is the length of the sequence, and N is a prime number. u represents the sequence number (or root sequence index), u∈{1,2,…,N-1}. By adding a cyclic prefix at the transmitting end, the receiving end can use periodic correlation to obtain an ideal impulse function. It can be seen from formula (3) that ZC sequence Shift multiplexing in the delay domain forms a zero correlation zone.

[0246] When there is a Doppler frequency shift, s u,k The fuzzy function of (n) has multiple peaks. For example, the fuzzy function A(τ,ν) satisfies:

[0247]

[0248] Wherein, τ represents the round trip delay (or propagation delay), and ν represents the Doppler shift. To improve the ability of the ZC sequence to combat the Doppler shift, the cyclic shift of the ZC sequence can be restricted, for example, a cyclic shift is selected within the cyclic shift restriction set of the ZC sequence to combat the frequency offset.

[0249] Exemplarily, the ambiguity function of the ZC sequence is expressed as:

[0250]

[0251] From formula (5), we can see that the sequence capacity of the ZC sequence is positively correlated with the square of the sequence length N, and the sequence capacity is relatively limited.

[0252] It should be noted that the generation of cyclic shifts of ZC sequences is divided into three cases: unrestricted sets, restricted sets type A, and restricted sets type B. In the scenario of high-speed movement of terminal equipment, in order to combat Doppler frequency deviation, the ZC sequence can obtain cyclic shifts through restricted sets type A or restricted sets type B, so the sequence capacity is further reduced. Among them, the cyclic shift obtained by the ZC sequence through restricted sets type A supports combating Doppler frequency deviations not exceeding 1 subcarrier interval, and the number of available cyclic shifts does not exceed 1 / 3 of the unrestricted set; the cyclic shift obtained by the ZC sequence through restricted sets type B supports combating Doppler frequency deviations not exceeding 2 subcarrier intervals, and the number of available cyclic shifts does not exceed 1 / 5 of the unrestricted set. According to restricted sets type A or restricted sets type B, the maximum Doppler frequency deviation supported by the current ZC sequence is also limited.

[0253] Optionally, the ZC sequence of the cyclic shift restricted set can be expressed as:

[0254]

[0255] Where n = 0, 1, ..., N-1, C k represents the cyclic shift of the ZC sequence.

[0256] In addition, for the ZC sequence, the maximum zero ambiguity area (i.e., the maximum round-trip delay Δ T and the maximum Doppler shift Δ F There are also certain constraints on the product of ( ), for example, the maximum zero ambiguity area of ​​the ZC sequence does not exceed the sequence length of the ZC sequence.

[0257] In one implementation, uplink random access constructs a sequence set of preamble codes through cyclic shifts of one or more ZC sequences. For example, the base station configures the starting sequence number (or root sequence index, see parameter u in formula (3)) through SIB. The terminal device determines 64 ZC sequences in sequence from Table 1 below according to the principle of "traversing the cyclic shift first and then the sequence number", and sends a randomly selected ZC sequence to the base station to achieve random access and signal synchronization. It should be understood that the general principle of the arrangement order of ZC sequences is that the cubic metric and the maximum cell radius of adjacent ZC sequences do not jump. Among them, the arrangement order of ZC sequences satisfies the following rules:

[0258] 1) Taking CM = 1.2dB as the boundary, the ZC sequence is divided into cubic metric group #1 (also called low cubic metric group) and cubic metric group #2 (also called high cubic metric group), that is, the cubic metric of all ZC sequences in the low cubic metric group is less than or equal to 1.2dB, and the cubic metric of all ZC sequences in the high cubic metric group is greater than or equal to 1.2dB. Among them, the low cubic metric group contains 456 ZC sequences, and the high cubic metric group contains 382 ZC sequences. CM = 1.2dB corresponds to the cubic metric of the Quadrature Phase-Shift Keying (QPSK) signal;

[0259] 2) For low cubic metric groups or high cubic metric groups, the ZC sequence in the group is set to the maximum cell radius supported by ±1 subcarrier frequency deviation The group is divided into 16 groups, including:

[0260] 3) Each group is arranged in cubic metric order. For the low cubic metric group, the cubic metrics of the odd-numbered groups are arranged in descending order, and the cubic metrics of the even-numbered groups are arranged in ascending order, which means that the ZC sequence of the last group of the low cubic metric group is arranged in ascending order; for the high cubic metric group, the cubic metrics of the odd-numbered groups are arranged in ascending order, and the cubic metrics of the even-numbered groups are arranged in descending order, which means that the ZC sequence of the first group of the high cubic metric group is arranged in ascending order, thereby ensuring that the cubic metrics and maximum cell radius of adjacent ZC sequences do not jump.

[0261] Table 1 shows the one-to-one mapping relationship between the logical sequence number of the ZC sequence and the physical sequence number when the sequence length of the ZC sequence is N=839. It can be seen that since the maximum cell radius and cubic metric supported by the conjugated root sequence are the same, the conjugated physical sequence number always appears in adjacent positions. For example, the base station indicates that the logical sequence number is 25 through the SIB, then the terminal device can uniquely determine that the physical sequence number is 783, and then determine 64 ZC sequences. For example, the terminal device can select 64 ZC sequences from the sequence corresponding to the physical sequence number 783, or the terminal device can also select 30 ZC sequences from the sequence corresponding to the physical sequence number 783, and then select 34 ZC sequences from the ZC sequence corresponding to the physical sequence number 112 in turn, and finally determine 64 ZC sequences. Then, a ZC sequence is randomly selected from the 64 ZC sequences and sent to achieve uplink access. Correspondingly, the base station blindly detects and determines this ZC sequence from the 64 ZC sequences, and at the same time determines the round-trip delay and / or Doppler shift.

[0262] Table 1

[0263]

[0264]

[0265] In summary, considering that the sequence capacity of the ZC sequence is positively correlated with the square of the sequence length, the capacity of the ZC sequence is limited. In particular, when the cell radius of the terminal device is large and / or the terminal device moves at a high speed, the configuration efficiency of the sequence resources is low and may not meet the transmission requirements of the terminal device.

[0266] In view of the above problems, the present application provides a communication method and device, that is, the first device can determine the first physical sequence number according to the first logical sequence number and the first mapping relationship, and then determine the first sequence (that is, the cubic polynomial exponential sequence) according to the first physical sequence number, and complete the uplink random access by sending the first sequence. The sequence capacity of the cubic polynomial exponential sequence in this implementation method is increased, which can support the Doppler frequency shift of more subcarrier spacings, improve the configuration efficiency of sequence resources, and meet the transmission requirements of more terminal devices.

[0267] The communication method provided by the embodiment of the present application will be described in detail below with reference to the accompanying drawings. The embodiment provided by the present application can be applied to any communication scenario where a transmitting device and a receiving device communicate, such as the above Figure 1 In the communication system shown.

[0268] It should be understood that the embodiments of the present application can be applicable to any communication scenario in which a transmitting device and a receiving device communicate. In other words, the embodiments of the present application can be applicable to uplink or downlink communication scenarios. For example, uplink communication is communication between a terminal device and a network device, in which case the first device is a terminal device and the second device is a network device; downlink communication is communication between a network device and a terminal device, in which case the first device is a network device and the second device is a terminal device. Therefore, the first device or the second device can be a network device or a terminal device, or a chip, a chip system or a circuit in a network device or a terminal device, and the present application does not limit this.

[0269] Without loss of generality, in order to facilitate understanding and description of the embodiments of the present application, the present application scheme is described by taking the uplink communication scenario in the scheduling system as an example. For example, the first device may be a terminal device (such as Figure 1 UE 101-106) or network equipment (such as Figure 1 The gNB 107 shown in the figure), the second device can be a terminal device or a network device. It should be understood that the implementation methods in the downlink communication scenario and the sidelink communication scenario can refer to the relevant description of the uplink communication scenario, and this application will not go into details.

[0270] Figure 3 3 is a flow chart of a communication method 300 provided in an embodiment of the present application. Figure 3 As shown, the method flow can be executed by the first device and the second device, or by modules and / or devices (e.g., chips or integrated circuits, etc.) with corresponding functions installed in the first device and the second device, and this application does not limit this. The following description is based on the first device (e.g., terminal device) and the second device (e.g., network device) as the execution subjects, including the following steps.

[0271] S310, the first device determines a first physical serial number according to a first logical serial number and a first mapping relationship.

[0272] Among them, the first mapping relationship is used to indicate the correspondence between the physical serial number and the logical serial number of the cubic polynomial exponential sequence, the cubic term coefficients of the cubic polynomial exponential sequence corresponding to each physical serial number are the same, the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequences corresponding to M consecutive physical serial numbers is less than or equal to the first threshold, the logical sequence number is used to indicate the position index of the physical serial number, and M is greater than or equal to 1.

[0273] It should be understood that the cubic polynomial exponential sequence can have multiple uses, for example, it can be used in a random access process of a terminal device.

[0274] Below, the cubic polynomial exponential sequence involved in the embodiments of the present application is first specifically described.

[0275] In one example, a cubic polynomial exponential sequence can be expressed as:

[0276]

[0277] Among them, a is the cubic term coefficient of the cubic polynomial exponential sequence, b is the quadratic term coefficient of the cubic polynomial exponential sequence, c is the linear term coefficient of the cubic polynomial exponential sequence, d is the constant term of the cubic polynomial exponential sequence, N is the sequence length of the cubic polynomial exponential sequence, N is a prime number, n∈{0,1,…,N-1}.

[0278] For example, the cubic term coefficient a and the quadratic term coefficient b of the cubic polynomial exponential sequence are associated. For example, assuming a∈{1,2,…,N-1}, then b=3akΔ T , c=lΔ F .in, Indicates rounding down, for example or

[0279] For example, the constant term d of the cubic polynomial exponential sequence can be viewed as the sequence s a,b,c,d All symbols in (n) are shifted by a common phase e -j2πd / N Since phase shift does not change the correlation and ambiguity of the sequence, without loss of generality, when d = 0, the cubic polynomial exponential sequence degenerates to

[0280] It should be noted that for The cubic coefficient a, quadratic coefficient b and linear coefficient c of the ambiguity function of the cubic polynomial exponential sequence are not zero at the same time. Wherein, τ is the round-trip delay (or propagation delay), and ν is the Doppler frequency shift.

[0281] In this application, the sequence capacity of the cubic polynomial exponential sequence is That is, the sequence capacity of the cubic polynomial exponential sequence is positively correlated with the cube of the sequence length N. Among them, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0282] For example, the maximum round trip delay Δ T and the maximum Doppler frequency deviation Δ F The product of (i.e. Δ T ×Δ F ) can be expressed as the maximum zero fuzzy area. T ×Δ F>N, that is, the maximum zero fuzzy zone area of ​​the cubic polynomial exponential sequence can be greater than the sequence length, that is, it is not restricted by the sequence length.

[0283] Optionally, the cubic polynomial exponential sequence may include a base sequence and an auxiliary sequence, wherein the base sequence Auxiliary sequence That is to say, the cubic polynomial exponential sequence in the above formula (7) can be expressed as In other words, the cubic polynomial exponential sequence can be expressed as the point-by-point multiplication of the base sequence and the auxiliary sequence. The lengths of the base sequence and the auxiliary sequence are both N. For example, the base sequence is [u a (0),u a (1),…,u a (N-1)], the auxiliary sequence is [v b,c (0),v b,c (1),…,v b,c (N-1)], then the result of point-by-point multiplication of the base sequence and the auxiliary sequence is [u a (0)·v b,c (0),u a (1) v b,c (1),…,u a (N-1)·v b,c (N-1)].

[0284] It should be understood that the base sequence u a (n) can be regarded as a sequence associated with a cell, and different cells correspond to different base sequences. b,c (n) can be regarded as a sequence associated with a terminal device in a cell. a The maximum value of the fuzzy function of (n) does not exceed The number of base sequences (N-1) is positively correlated with the sequence length N. Auxiliary sequence v b,c The maximum value of the fuzzy function of (n) is Number of auxiliary sequences Positively correlated with the square of the sequence length N.

[0285] In the present application, the first mapping relationship may be predefined, and the predefined relationship may include a predefined relationship, such as a protocol definition. Alternatively, the first mapping relationship may be configured or preconfigured, and the preconfiguration may be implemented by pre-saving corresponding codes, tables, or other methods that can be used to indicate relevant information in the first device (e.g., terminal device) and the second device (e.g., network device), and the present application does not limit the specific implementation method thereof.

[0286] Exemplarily, the first mapping relationship may exist in the form of a table, a function, a text, a character string, etc., such as for storage or transmission.

[0287] In the present application, the cubic coefficient of the cubic polynomial exponential sequence corresponding to each physical serial number is the same, which can be understood as: each physical serial number corresponds to a cubic coefficient, and the cubic coefficient can correspond to one or more cubic polynomial exponential sequences, that is, there may be multiple cubic polynomial exponential sequences with the same cubic coefficient, and the quadratic coefficient and / or linear coefficient may be the same or different.

[0288] It should be understood that the mutual ambiguity function CAF refers to a function obtained by performing fuzzy operations on two signals. The maximum value of the mutual ambiguity function is less than or equal to the first threshold, indicating that the mutual ambiguity function values ​​of any two different cubic polynomial exponential sequences within the maximum round-trip delay and the maximum Doppler frequency deviation are less than or equal to the first threshold, that is, the interference between any two different cubic polynomial exponential sequences is less than or equal to the first threshold.

[0289] In the present application, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequences corresponding to M consecutive physical serial numbers is less than or equal to the first threshold value, which can be understood as: when M is equal to 1, it means that the maximum value of the mutual ambiguity function of any two cubic polynomial exponential sequences among the multiple cubic polynomial exponential sequences corresponding to a physical serial number is less than or equal to the first threshold value; when M is greater than 1, for example, M is equal to 2, it means that the maximum value of the mutual ambiguity function of any two cubic polynomial exponential sequences among the cubic polynomial exponential sequences corresponding to two consecutive physical serial numbers is less than or equal to the first threshold value.

[0290] Optionally, the first threshold may be configured or preconfigured. For example, the first threshold δ may satisfy:

[0291]

[0292] Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0293] In the present application, configuration may refer to signaling configuration, and may also be described as configuration signaling. For example, the signaling configuration may be configured by a second device (e.g., a network device) sending a signaling, and these signalings may be RRC, DCI, or SIB, etc. For another example, the signaling configuration may be a pre-configured signaling sent to a first device (e.g., a terminal device), or configured to the first device (e.g., a terminal device) in a pre-configured manner, where the pre-configuration is to define or configure the values ​​of the corresponding parameters in advance in a protocol manner, and may be stored in the first device (e.g., a terminal device) when communicating with the first device (e.g., a terminal device), and the present application does not limit this.

[0294] In the present application, the logical serial number is used to indicate the position index of the physical serial number, which can be understood as follows: the logical serial number #a is the position index of the physical serial number #a among all physical serial numbers, wherein the logical serial number #a corresponds to the physical serial number #a. It should be noted that there may be two or more identical physical serial numbers in the present application, and the logical serial numbers corresponding to the two or more identical physical serial numbers are different from each other, that is, each physical serial number corresponds to a logical serial number, that is, the corresponding physical serial number can be uniquely determined according to the logical serial number.

[0295] Below, an example is given for the specific expression of the first mapping relationship in the embodiment of the present application, or the grouping and sorting method of the cubic polynomial exponential sequence. It should be understood that the correspondence between the physical sequence number and the logical sequence number of the cubic polynomial exponential sequence can be determined based on the first mapping relationship, and then the cubic polynomial exponential sequence corresponding to the physical sequence number or the logical sequence number can be determined for random access of the terminal device. It should be noted that the following methods 2, 3 and 4 are grouped and sorted on the basis of method 1.

[0296] Method 1:

[0297] Exemplarily, multiple cubic polynomial exponential sequences belong to the first cubic metric group or the second cubic metric group, respectively, wherein the cubic metric of each cubic polynomial exponential sequence in the first cubic metric group is less than or equal to the first cubic metric, and the cubic metric of each cubic polynomial exponential sequence in the second cubic metric group is greater than the first cubic metric.

[0298] Further, the first cubic measurement group includes one or more first subgroups. Optionally, the multiple first subgroups are determined based on the maximum value of the mutual fuzzy function of multiple cubic polynomial exponential sequences within the first cubic measurement group, wherein the multiple first subgroups are arranged in ascending order according to the cubic measurement of the corresponding cubic polynomial exponential sequence, each first subgroup corresponds to one or more cubic term coefficients, and the multiple cubic term coefficients corresponding to the last first subgroup to the first first subgroup are arranged alternately in ascending or descending order according to the cubic measurement of the cubic polynomial exponential sequence, and the one or more cubic term coefficients within the last first subgroup are arranged in ascending order according to the cubic measurement of the corresponding cubic polynomial exponential sequence.

[0299] Similarly, the second cubic measurement group includes one or more second subgroups. Optionally, the multiple second subgroups are determined based on the maximum value of the mutual fuzzy function of multiple cubic polynomial exponential sequences within the second cubic measurement group, wherein the multiple second subgroups are arranged in ascending order of the cubic measurement of the corresponding cubic polynomial exponential sequence, each second subgroup corresponds to one or more cubic term coefficients, and the multiple cubic term coefficients corresponding to the first second subgroup to the last second subgroup are arranged alternately in ascending or descending order of the cubic measurement of the cubic polynomial exponential sequence, and the one or more cubic term coefficients within the first second subgroup are arranged in ascending order of the cubic measurement of the corresponding cubic polynomial exponential sequence.

[0300] It should be understood that the maximum value of the mutual fuzzy function of any two cubic polynomial exponential sequences in each of the first subgroups or the second subgroups is less than or equal to the first threshold δ.

[0301] Optionally, the first cubic metric may be configured or preconfigured, for example, the value of the first cubic metric may be determined according to the above formula (1). In an embodiment of the present application, the first cubic metric group may be referred to as a low cubic metric group, and the second cubic metric group may be referred to as a high cubic metric group. It should be understood that the low cubic metric group and the high cubic metric group are relative, and the present application does not limit this. For example, assuming that the first cubic metric CM=1.2dB, multiple cubic polynomial exponential sequences are divided into a low cubic metric group and a high cubic metric group based on the cubic metric CM=1.2dB. For example, when the cubic metric CM of the cubic polynomial exponential sequence is greater than 1.2dB, the cubic polynomial exponential sequence belongs to the high cubic metric group; when the cubic metric CMCM of the cubic polynomial exponential sequence is less than or equal to 1.2dB, the cubic polynomial exponential sequence belongs to the low cubic metric group.

[0302] Optionally, the first group may be referred to as a first set, which means one or more first sets to which all cubic polynomial exponential sequences in the first cubic metric group belong after being divided, and similarly, the second group may be referred to as a second set, which means one or more second sets to which all cubic polynomial exponential sequences in the second cubic metric group belong after being divided. For ease of description, this application uniformly takes the first group and the second group as examples for explanation.

[0303] Figure 4 Schematic diagram of the division of a cubic polynomial exponential sequence provided in an embodiment of the present application. Figure 4As shown, the cubic polynomial exponential sequences corresponding to the same cubic term coefficient can be divided into a low cubic metric group or a high cubic metric group; in the low cubic metric group or the high cubic metric group, the cubic polynomial exponential sequences corresponding to the same cubic term coefficient can be divided into the same small group; in each small group, there can be multiple cubic term coefficients, and the cubic polynomial exponential sequences corresponding to the same cubic term coefficient can determine a cubic metric mean, and different cubic term coefficients can be arranged in ascending or descending order according to the corresponding cubic metric means; in the low cubic metric group and the high cubic metric group, there can be cubic polynomial exponential sequences with the same cubic term coefficient.

[0304] Exemplarily, assuming that there are multiple cubic polynomial exponential sequences, the multiple cubic polynomial exponential sequences belong to a low cubic metric group and a high cubic metric group, respectively, with the first cubic metric (for example, CM=1.2dB) as the boundary, wherein the low cubic metric group includes group 1 and group 2, the cubic metric of the cubic polynomial exponential sequence in group 1 is smaller than the cubic metric of the cubic polynomial exponential sequence in group 2, group 1 corresponds to three cubic term coefficients λ1, λ2 and λ3, and the corresponding cubic metric means of the cubic polynomial exponential sequences are arranged in descending order, and group 2 corresponds to three cubic term coefficients λ4, λ5 and λ6, and the corresponding cubic metric means of the cubic polynomial exponential sequences are arranged in ascending order. The high cubic metric group includes Group 1, Group 2 and Group 3, and the cubic metrics of the corresponding cubic polynomial exponential sequences are arranged in ascending order. Group 1 corresponds to two cubic term coefficients λ1 and λ2, and the cubic metric mean of the cubic polynomial exponential sequence corresponding to λ1 is smaller than the cubic metric mean of the cubic polynomial exponential sequence corresponding to λ2. Group 2 corresponds to two cubic term coefficients λ3 and λ4, and the cubic metric mean of the cubic polynomial exponential sequence corresponding to λ3 is larger than the cubic metric mean of the cubic polynomial exponential sequence corresponding to λ4. Group 3 corresponds to two cubic term coefficients λ5 and λ6, and the cubic metric mean of the cubic polynomial exponential sequence corresponding to λ5 is smaller than the cubic metric mean of the cubic polynomial exponential sequence corresponding to λ6.

[0305] Based on this implementation, a general partitioning method for a cubic polynomial exponential sequence is provided, so that the maximum value of the mutual ambiguity function of adjacent cubic polynomial exponential sequences is less than or equal to a first threshold, and the cubic metric of adjacent cubic polynomial exponential sequences does not jump, so as to improve the efficiency of the power amplifier of the terminal device.

[0306] Method 2:

[0307] Exemplarily, in the low cubic metric group, the cubic coefficients of all cubic polynomial exponential sequences in each first group are the same, and the first groups are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequences in the group. The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in any first group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to

[0308] Similarly, in the high cubic metric group, the cubic coefficients of all cubic polynomial exponential sequences in each second group are the same, and multiple second groups are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequences in the group. The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in any second group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to

[0309] Figure 5 It is a schematic diagram of dividing a cubic polynomial exponential sequence provided in an embodiment of the present application.

[0310] Exemplarily, assuming that there are multiple cubic polynomial exponential sequences, the multiple cubic polynomial exponential sequences belong to a low cubic metric group and a high cubic metric group respectively, with the first cubic metric (e.g., CM=1.2dB) as the boundary. The low cubic metric group includes Ω L The first group, Ω L The first group corresponds to Ω L The cubic coefficients are The corresponding cubic metric means of the cubic polynomial exponential sequence are arranged in ascending order, that is, The maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the first group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to Ω L is an integer.

[0311] Similarly, the high-cubic metric group includes Ω H The second group, Ω H The second group corresponds to Ω H The cubic coefficients are The corresponding cubic metric means of the cubic polynomial exponential sequence are arranged in ascending order, that is, The maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the second group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Ω H Integer.

[0312] Based on the above-mentioned method 2, the first mapping relationship in the present application is exemplified in the form of a table. For example, Table 2 shows that the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the first group or the second group is less than or equal to Under the condition of , the mapping relationship between the logical serial number, cubic term coefficient, group, subgroup number and physical serial number of the cubic polynomial exponential sequence, that is, the cubic term coefficient, group, subgroup number and physical serial number can be determined according to the logical serial number, and then the cubic polynomial exponential sequence, that is, the first sequence in step S320, can be determined.

[0313] Table 2

[0314]

[0315] In the embodiment of the present application, Ω L ,Ω H Wherein, the value corresponding to each logical sequence number in the above Table 2 is an integer greater than or equal to 0. For example, for the logical sequence number Ω L -2, at this time Ω L is an integer greater than or equal to 2, and other logical sequence numbers are similar. The values ​​corresponding to each group number and the sequence number in the group in Table 2 are all integers greater than or equal to 1. For example, for group number Ω H -1, at this time Ω H It is an integer greater than 1, and other group numbers are similar. It should be understood that the value of the above logical serial number is 0, 1, 2..., optionally, it can also be 1, 2, 3..., similarly, the value of the above group number is 1, 2..., optionally, it can also be 0, 1, 2..., and this application does not limit this, as long as the first device and / or the second device can uniquely determine the corresponding physical serial number according to the logical serial number.

[0316] It should be understood that the above Table 2 is only an example given for ease of understanding and does not constitute any limitation on the technical solution of the present application. Optionally, the present application does not limit the number of corresponding relationships between logical serial numbers and physical serial numbers in Table 2 (for example, a row in a table). For example, the low cubic metric group and the high cubic metric group in Table 2 can be independently formed into new tables, that is, Table 2 can be split into multiple other tables for examples, and the present application does not limit the splitting method. Optionally, the present application does not limit the number of columns in Table 2. For example, the group number or group sequence number can be cancelled in Table 2, and the present application does not limit this.

[0317] It can be seen from Table 2 that in a high cubic metric group or a low cubic metric group, each group corresponds to a cubic term coefficient, each cubic term coefficient corresponds to one or more cubic polynomial index sequences, and at least one of the quadratic term coefficients and the linear term coefficients of the multiple cubic polynomial index sequences is different. Among them, the logical sequence number is 0, 1, ..., Ω L +Ω H -1, each physical sequence number corresponds to a cubic coefficient, and each physical sequence number is the same as the corresponding cubic coefficient. Optionally, the same cubic coefficient exists in the high cubic metric group and the low cubic metric group, for example Corresponding, physical serial number However, the logical serial number corresponding to the physical serial number is not the same, that is, 0≠Ω L -1. That is to say, there is a one-to-one correspondence between the logical serial number and the physical serial number, and the cubic coefficient and the group to which it belongs can be uniquely determined based on the logical serial number.

[0318] Based on this implementation method, all cubic polynomial exponential sequences in each first group or each second group correspond to the same cubic term coefficient, the implementation method is simple, and the configuration efficiency is high.

[0319] Method 3:

[0320] Exemplarily, in the low cubic metric group, each first group contains one or more cubic polynomial exponential sequences with different cubic coefficients, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any first group is less than or equal to the first threshold δ, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to

[0321] Similarly, in the high cubic metric group, each second group contains one or more cubic polynomial exponential sequences with different cubic coefficients, the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in any second group is less than or equal to the first threshold δ, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to

[0322] Figure 6 It is a schematic diagram of dividing a cubic polynomial exponential sequence provided in an embodiment of the present application.

[0323] Exemplarily, assuming that there are multiple cubic polynomial exponential sequences, the multiple cubic polynomial exponential sequences belong to a low cubic metric group and a high cubic metric group respectively, with the first cubic metric (e.g., CM=1.2dB) as the boundary. The low cubic metric group includes P first subgroups, namely Each first group corresponds to Θ cubic coefficients, that is, the low cubic metric group includes The cubic coefficients are as follows:

[0324]

[0325] Among them, the P groups are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence within the group, that is, The cubic coefficients from the pth first group (1≤p≤P) to the first group are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence, where the cubic coefficients in the pth first group are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence. The maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in each first group is less than or equal to δ, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between any two adjacent first groups is less than or equal to P is an integer greater than or equal to 1.

[0326] Similarly, the high cubic metric group includes Q second subgroups, namely Each second group corresponds to Φ cubic coefficients, that is, the high cubic metric group includes The cubic coefficients are as follows:

[0327]

[0328] The Q groups are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence within the group, that is, The cubic coefficients from the first second group to the qth second group (1≤q≤Q) are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence, wherein the cubic coefficients in the first second group are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence. The maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in each second group is less than or equal to δ, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between any two adjacent second groups is less than or equal to Q is an integer greater than or equal to 1.

[0329] Based on the above method 3, the first mapping relationship in the present application is exemplified in the form of a table. For example, Table 3 shows that the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the first group or the second group is less than or equal to Under the condition of , the mapping relationship between the logical serial number, cubic term coefficient, group, subgroup number and physical serial number of the cubic polynomial exponential sequence, that is, the cubic term coefficient, group, subgroup number and physical serial number can be determined according to the logical serial number, and then the cubic polynomial exponential sequence, that is, the first sequence in step S320, can be determined.

[0330] Table 3

[0331]

[0332]

[0333] In the embodiment of the present application, Θ1, Θ2, ..., Θ P 、P、Q、Φ1、Φ2…、Φ Q is an integer. Among them, the value corresponding to each logical serial number in the above Table 3 is an integer greater than or equal to 0. For example, for the logical serial number Θ1-1, Θ1 is an integer greater than or equal to 1, and other logical serial numbers are similar. Similarly, the value corresponding to each group number and the serial number in the group in the above Table 3 is an integer greater than or equal to 1. For example, for the group number P-1, P is an integer greater than 1. It should be understood that the values ​​of the above logical serial numbers are 0, 1, 2..., optionally, they can also be 1, 2, 3..., similarly, the values ​​of the above group numbers and the serial numbers in the groups are 1, 2..., optionally, they can also be 0, 1, 2..., and the present application does not limit this, as long as the first device and / or the second device can uniquely determine the corresponding physical serial number based on the logical serial number.

[0334] It should be understood that the above Table 3 is only an example given for ease of understanding and does not constitute any limitation on the technical solution of the present application. Optionally, the present application does not limit the number of corresponding relationships between logical serial numbers and physical serial numbers in Table 3 (for example, a row in a table). For example, the low cubic metric group and the high cubic metric group in Table 3 can be independently formed into new tables, that is, Table 3 can be split into multiple other tables for examples, and the present application does not limit the splitting method. Optionally, the present application does not limit the number of columns in Table 3. For example, the group number or group sequence number can be cancelled in Table 3, and the present application does not limit this.

[0335] It can be seen from Table 3 that in the low cubic metric group, each first group corresponds to Θ cubic coefficients. In the high cubic metric group, each second group corresponds to Φ cubic coefficients. Each cubic coefficient corresponds to one or more cubic polynomial index sequences. At least one of the quadratic coefficients, linear coefficients, and constant coefficients of the multiple cubic polynomial index sequences is different. Among them, the logical sequence number is 0, 1, ..., Θ1+Θ2+...+Θ P +Φ1+Φ2+…+Φ Q -1, each physical sequence number corresponds to a cubic coefficient, and each physical sequence number is the same as its corresponding cubic coefficient. Optionally, the same cubic coefficient exists in the high cubic metric group and the low cubic metric group, for example Corresponding, physical serial number However, the logical serial number corresponding to the physical serial number is not the same, that is, 1≠Θ1+Θ2+…+Θ P That is to say, there is a one-to-one correspondence between the logical serial number and the physical serial number, and the cubic coefficient and the group to which it belongs can be uniquely determined based on the logical serial number.

[0336] Based on this implementation, each first group or each second group includes a cubic polynomial exponential sequence corresponding to one or more cubic term coefficients, the mutual ambiguity function of the cubic polynomial exponential sequence is small, and the cubic metric fluctuation is small, which effectively improves the efficiency of the power amplifier of the terminal device. In other words, the x cubic polynomial exponential sequences in each group can correspond to y different cubic term coefficients, x is less than or equal to y, and x and y are positive integers.

[0337] Method 4:

[0338] Exemplarily, in the low cubic metric group, all cubic polynomial exponential sequences in the first cubic metric group belong to a first subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the first subgroup is less than or equal to

[0339] Similarly, in the high cubic metric group, all cubic polynomial exponential sequences in the second cubic metric group belong to a second small group, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the second small group is less than or equal to

[0340] Figure 7 It is a schematic diagram of dividing a cubic polynomial exponential sequence provided in an embodiment of the present application.

[0341] Exemplarily, assuming that there are multiple cubic polynomial exponential sequences, the multiple cubic polynomial exponential sequences belong to a low cubic metric group and a high cubic metric group respectively, with the first cubic metric (e.g., CM=1.2dB) as the boundary. The low cubic metric group includes a first subgroup corresponding to Ω L The cubic coefficients are The corresponding cubic metric means of the cubic polynomial exponential sequence are arranged in ascending order, that is, Ω L The cubic coefficients are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent first groups is less than or equal to Ω L is an integer greater than 1.

[0342] Similarly, the high cubic metric group includes a second small group corresponding to Ω H The cubic coefficients are The corresponding cubic polynomial exponential sequences are arranged in ascending order by the cubic metric means. The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent second groups is less than or equal to Ω H is an integer greater than 1.

[0343] Based on the above-mentioned fourth method, the first mapping relationship in the present application is exemplified in the form of a table. For example, Table 4 shows that the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the first group or the second group is less than or equal to Under the above conditions, the mapping relationship between the logical serial number, cubic term coefficient, group, subgroup number and physical serial number of the cubic polynomial exponential sequence, that is, the cubic term coefficient, group, subgroup number and physical serial number can be correspondingly determined according to the logical serial number, and then the cubic polynomial exponential sequence, that is, the first sequence in step S320, can be determined.

[0344] Table 4

[0345]

[0346] In the embodiment of the present application, Ω L ,Ω H Wherein, the value corresponding to each logical sequence number in the above Table 4 is an integer greater than or equal to 0. For example, for the logical sequence number Ω L -2, at this time Ω L is an integer greater than or equal to 2, and other logical sequence numbers are similar. The value corresponding to the sequence number in each group in Table 4 above is an integer greater than or equal to 1. For example, for the group sequence number Ω H -1, at this time Ω H It is an integer greater than 1, and other group serial numbers are similar. It should be understood that the value of the above logical serial number is 0, 1, 2..., optionally, it can also be 1, 2, 3..., similarly, the value of the above group serial number is 1, 2..., optionally, it can also be 0, 1, 2..., and this application does not limit this, as long as the first device and / or the second device can uniquely determine the corresponding physical serial number according to the logical serial number.

[0347] It should be understood that the above Table 4 is only an example given for ease of understanding and does not constitute any limitation on the technical solution of the present application. Optionally, the present application does not limit the number of corresponding relationships between logical serial numbers and physical serial numbers in Table 4 (for example, a row in a table). For example, the low cubic metric group and the high cubic metric group in Table 4 can be independently formed into new tables, that is, Table 4 can be split into multiple other tables for examples, and the present application does not limit the splitting method. Optionally, the present application does not limit the number of columns in Table 4. For example, the group number or group sequence number can be cancelled in Table 4, and the present application does not limit this.

[0348] It can be seen from Table 4 that in the high cubic metric group or the low cubic metric group, there is a first group or a second group, that is, all cubic polynomial exponential sequences in the high cubic metric group belong to a second group, and all cubic polynomial exponential sequences in the low cubic metric group belong to a first group. The first group or the second group corresponds to a plurality of cubic term coefficients, each cubic term coefficient corresponds to one or more cubic polynomial exponential sequences, and at least one of the quadratic term coefficients, the linear term coefficients, and the constant term coefficients of the plurality of cubic polynomial exponential sequences is different. Among them, the logical sequence number is 0, 1, ..., Ω L +Ω H -1, each physical sequence number corresponds to a cubic coefficient, and each physical sequence number is the same as its corresponding cubic coefficient. Optionally, the same cubic coefficient exists in the high cubic metric group and the low cubic metric group, for example Corresponding, physical serial number However, the logical serial number corresponding to the physical serial number is not the same, that is, Ω L -2≠Ω L +1. That is to say, there is a one-to-one correspondence between the logical serial number and the physical serial number, and the cubic coefficient and the group to which it belongs can be uniquely determined based on the logical serial number.

[0349] Based on this implementation method, all cubic polynomial exponential sequences in the first cubic metric group or the second cubic metric group correspond to the same group, and the cubic term coefficients in each group increase monotonically according to the cubic metric of the corresponding cubic polynomial exponential sequence. The implementation method is simple and the configuration efficiency is high.

[0350] In a possible implementation, before executing step S310, the method 300 further includes step S301.

[0351] S301, a first device may obtain a first logical serial number.

[0352] Exemplarily, the first device may obtain the first logical sequence number from the second device. For example, the first device receives indication information from the second device, the indication information indicating the first logical sequence number, and the indication information may be a direct indication or an indirect indication. For example, the first device may receive the first logical sequence number from the second device via broadcast information, or the first device may also receive the first logical sequence number from the second device via specific signaling (e.g., RRC, DCI, or SIB).

[0353] Exemplarily, the first logical sequence number may be predefined or preconfigured, and "predefined" may include predefined, such as protocol definition. "Preconfigured" may be implemented by pre-saving corresponding codes, tables or other methods that can be used to indicate relevant information in the first device, and the present application does not limit the specific implementation method thereof.

[0354] Optionally, the first logical serial number can be a natural number or a positive integer, such as 0, 1, 2, ..., X-1, or 1, 2, 3, ..., X, where X is an integer greater than 1. The physical serial number can be the cubic coefficient of a cubic polynomial exponential sequence and the group to which it belongs, which is not limited in the present application.

[0355] Exemplarily, taking the above Table 2 as an example, assuming that the first logical sequence number received by the first device from the second device is Ω L -2, the first device can search and determine the corresponding first physical sequence number according to the first mapping relationship shown in Table 2, that is, the cubic coefficient of the low cubic metric group Then the first physical serial number can be determined The corresponding cubic polynomial exponential sequence is, for example:

[0356]

[0357] Assume that the first device has a first physical serial number Get 30 cubic polynomial exponential sequences from the corresponding cubic polynomial exponential sequence, and then continue from the next physical sequence number 34 cubic polynomial exponential sequences are obtained from the corresponding cubic polynomial exponential sequences, that is, 64 cubic polynomial exponential sequences are obtained, and then a cubic polynomial exponential sequence can be randomly selected from them as the first sequence.

[0358] S320, the first device sends a first sequence.

[0359] The first sequence is determined according to the first physical sequence number. It should be understood that the first sequence is a cubic polynomial exponential sequence.

[0360] In the present application, the first sequence is determined according to the first physical sequence number, which can be understood as: the first device determines 64 cubic polynomial exponential sequences according to the first physical sequence number sequence, and randomly selects a cubic polynomial exponential sequence to access, and the randomly selected cubic polynomial exponential sequence is the first sequence. Further, the first device sends the first sequence to the second device, and correspondingly, the second device performs blind detection on the 64 cubic polynomial exponential sequences, determines the first sequence, and simultaneously determines the round-trip delay and / or Doppler shift.

[0361] Optionally, the first sequence can be used in the perception process of the first device (e.g., a terminal device) and / or the second device (e.g., a network device). For example, the first device sends a cubic polynomial exponential sequence and receives an echo of the cubic polynomial exponential sequence. The first device determines the round-trip delay and Doppler frequency deviation of the perceived target, and then obtains the distance and moving speed of the perceived target. For another example, the first device sends a cubic polynomial exponential sequence, the second device receives the cubic polynomial exponential sequence, and then the second device determines the delay and Doppler frequency deviation of the perceived target, and then obtains the distance and moving speed of the perceived target.

[0362] In one implementation, sending the first sequence may be: the first device sends the first sequence to the second device. For example, the first device and the second device may both be included in the terminal device, or both be included in the network device, in which case it is explained that the first device sends the first sequence to the second device as an internal operation. For another example, the first device may be a terminal device or a device in the terminal device (such as a chip, chip system or circuit of the terminal device), and the second device may be a network device or a device in the network device (such as a chip, chip system or circuit of the network device), in which case it is explained that the first device sends the first sequence to the second device as an external operation.

[0363] It should be noted that before the second device receives the first sequence sent by the first device, the second device determines the first physical serial number according to the first logical serial number and the first mapping relationship. The specific implementation method can refer to the relevant description of the above step S310 and will not be described here.

[0364] The following specifically describes the implementation of the first device sending the first sequence to the second device in the above step S320.

[0365] In the first example, the first device may map the first sequence to a time domain resource and send the first sequence to the second device. At this time, the discrete time signal of the first sequence (ie, a cubic polynomial exponential sequence) may be expressed as:

[0366]

[0367] Compared with the above formula (7), a=λ,b=3λkΔ T , c=lΔ F , d = 0, N is s a,b,c,d (n) is the length of the sequence, N is a prime number. λ∈{1,2,…,N-1}, n=0,1,…N-1,Δ T represents the maximum round trip delay, Δ F Indicates the maximum Doppler shift.

[0368] It should be understood that the parameter λ in formula (8) is a parameter associated with the cell. For example, the same cell corresponds to the same λ value, and different cells correspond to different λ values; or, the same cell corresponds to multiple λ values, and different cells correspond to different λ values. Parameters k and l are parameters associated with terminal devices in the cell, and parameters k and / or l may be different for different terminal devices in the same cell.

[0369] It should also be understood that the cell radius of the cell where the terminal device is located ranges from 0 to c(Δ T -1)T s / 2, the mobile speed range of the terminal device is: -c(Δ F -1)Δf / 4f c to c(Δ F -1)Δf / 4f c , where c is the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, T s Indicates the symbol time interval.

[0370] Exemplarily, the cubic polynomial exponential sequence of time domain resource mapping can be expressed as:

[0371]

[0372]

[0373] Correspondingly, the mutual ambiguity function of the cubic polynomial exponential sequence shown in formula (9) and formula (10) can be expressed as:

[0374]

[0375] Among them, τ represents the round-trip delay, and the value range of τ is 0≤τ≤Δ T -1, v represents Doppler frequency shift, and the value range of v is 0≤v≤Δ F -1, λ1∈{1,2,…,N-1}, λ2∈{1,2,…,N-1}, Δ F represents the maximum Doppler shift, ΔT represents the maximum round-trip delay, and ∨ represents "logical OR".

[0376] It can be seen from the above formula (11) and the exponential sum theorem mentioned above that when λ1≠λ2, the maximum value of the mutual fuzzy function of two cubic polynomial exponential sequences does not exceed When λ1=λ2, the exponential sum of the cubic polynomial exponential sequence degenerates into a Gaussian sum, and the maximum value of the mutual fuzzy function of two cubic polynomial exponential sequences is

[0377] It should be understood that since the cubic polynomial exponential sequence s in the above formula (7) a,b,c,d (n) is a constant modulus sequence, so the s a,b,c,d (n) Mapping to time domain resources can reduce the peak-to-average power ratio. It should be noted that the constant modulus sequence can be understood as a phase-coded sequence with a constant amplitude, and the constant modulus sequence can also be called a constant amplitude sequence or a constant envelope sequence.

[0378] In the second example, the first device may map the first sequence to the frequency domain resources and send the first sequence to the second device. In this case, the discrete time signal of the first sequence (ie, the cubic polynomial exponential sequence) may be expressed as:

[0379]

[0380] Compared with the above formula (7), a=λ,b=3λkΔ F , c=lΔ T , d = 0, N is s a,b,c,d (n), where n is a prime number. λ∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, Δ F Indicates the maximum Doppler shift.

[0381] It should be understood that the parameter λ in formula (12) is a parameter associated with the cell. For example, the same cell corresponds to the same λ value, and different cells correspond to different λ values; or, the same cell corresponds to multiple λ values, and different cells correspond to different λ values. Parameters k and l are parameters associated with terminal devices in the cell, and parameters k and / or l may be different for different terminal devices in the same cell.

[0382] It should also be understood that the cell radius of the cell where the terminal device is located ranges from 0 to c(Δ T -1)T s / 2, the mobile speed range of the terminal device is: -c(Δ F -1)Δf / 4f c to c(Δ F-1)Δf / 4f c , where c is the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, t s Indicates the symbol time interval.

[0383] Exemplarily, the cubic polynomial exponential sequence of frequency domain resource mapping can be expressed as:

[0384]

[0385]

[0386] Correspondingly, the fuzzy function of the cubic polynomial exponential sequence shown in formula (13) and formula (14) can be expressed as:

[0387]

[0388] Among them, τ represents the round-trip delay, and the value range of τ is 0≤τ≤Δ T -1, v represents Doppler frequency shift, and the value range of v is 0≤ν≤Δ F -1, λ1∈{1,2,…,N-1}, λ2∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, Δ F represents the maximum Doppler frequency shift, and ∨ represents "logical OR".

[0389] It can be seen from the above formula (15) and the exponential sum theorem mentioned above that when λ1≠λ2, the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence does not exceed That is, when λ1=λ2, the exponential sum of the cubic polynomial exponential sequence degenerates into a Gaussian sum, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence is

[0390] In particular, when λ1=λ2, k1=k2, l1≠l2, τ≠0, ν=0, the cubic polynomial exponential sequence of frequency domain resource mapping is and There is a zero correlation region. This is because the cubic polynomial exponential sequence s a,b,c,d (n) is a constant modulus sequence. According to the VenaSchin theorem, the frequency domain resource mapping of the constant modulus sequence has an ideal time domain autocorrelation characteristic. Therefore, mapping the cubic polynomial exponential sequence to the frequency domain resource can form a zero correlation zone.

[0391] Compared with existing communication sequences (such as ZC sequences), the cubic polynomial exponential sequence has a larger sequence capacity and can resist Doppler frequency deviations with more subcarrier spacing. In addition, the maximum zero ambiguity area (maximum round-trip delay Δ T and the maximum Doppler shift Δ F The product of can exceed the sequence length, that is, it is not constrained by the sequence length.

[0392] According to the scheme provided by the present application, the first device can determine the correspondence between the logical sequence number and the physical sequence number of the cubic polynomial index sequence based on the first mapping relationship, and can also uniquely determine the corresponding first physical sequence number according to the first logical sequence number, and then determine multiple cubic polynomial index sequences according to the first physical sequence number, wherein the first sequence (i.e., cubic polynomial index sequence) is an index sequence randomly determined from the multiple cubic polynomial index sequences, and uplink random access is completed by sending the first sequence to achieve synchronous communication. Compared with the existing communication sequence, the sequence capacity of the cubic polynomial index sequence has increased, and can support the Doppler frequency shift of more subcarrier spacings, and improve the configuration efficiency of sequence resources to meet the transmission needs of more terminal devices.

[0393] It should be noted that the execution subject of steps S310 and S320 of the above method 300 is described by taking the same execution subject (e.g., the first device) as an example. Optionally, the above steps S310 and S320 can be executed by different execution subjects. For example, step S310 can be executed by a second device (e.g., a network device), and step S320 can be executed by a first device (e.g., a terminal device). At this time, the second device determines the first physical serial number according to the first logical serial number and the first mapping relationship, and notifies the first device of the first physical serial number. Correspondingly, the first device determines the first sequence according to the first physical serial number, and then executes step S320. The specific implementation method can be adaptively referred to the relevant description of the above method 300. This implementation method can reduce the power consumption and signaling overhead of the terminal device. Similarly, the second device may not execute the above-mentioned step S310, that is, the first device (such as a terminal device) may execute step S310, and then send the first physical serial number and the first sequence to the second device (such as a network device) for execution. At this time, the second device determines 64 cubic polynomial exponential sequences according to the first physical serial number, and performs a blind check on the 64 cubic polynomial exponential sequences to obtain the first sequence. The specific implementation method can be adaptively referred to the relevant description of the above-mentioned method 300. This implementation method can reduce the power consumption and signaling overhead of the network device, and the present application does not limit this.

[0394] Figure 8 800 is a flow chart of a communication method 800 provided in an embodiment of the present application. Figure 8 As shown, the method flow can be executed by a third device, or by a module and / or device (e.g., a chip or an integrated circuit, etc.) with corresponding functions installed in the third device, and this application does not limit this. The following description is based on the third device as the execution subject, including the following multiple steps.

[0395] S810, the third device divides the cubic polynomial exponential sequence into a first cubic metric group or a second cubic metric group according to the first cubic metric.

[0396] It should be understood that the cubic polynomial exponential sequence can have multiple uses, for example, it can be used in a random access process of a terminal device.

[0397] Optionally, the first cubic metric may be configured or preconfigured, for example, the value of the first cubic metric may be determined according to the above formula (1). In an embodiment of the present application, the first cubic metric group may be referred to as a low cubic metric group, and the second cubic metric group may be referred to as a high cubic metric group. It should be understood that the low cubic metric group and the high cubic metric group are relative, and the present application does not limit this. For example, assuming that the first cubic metric CM=1.2dB, multiple cubic polynomial exponential sequences are divided into a low cubic metric group and a high cubic metric group based on the cubic metric CM=1.2dB. For example, when the CM of the cubic polynomial exponential sequence is greater than 1.2dB, the cubic polynomial exponential sequence belongs to the high cubic metric group; when the CM of the cubic polynomial exponential sequence is less than or equal to 1.2dB, the cubic polynomial exponential sequence belongs to the low cubic metric group.

[0398] In the present application, the third device may be a network device or a terminal device, or may be a chip, a chip system or a circuit in the network device or the terminal device, and the present application does not limit this.

[0399] It should be noted that the definition and interpretation of the cubic polynomial exponential sequence can be found in the relevant description of step S310 of the above method 300, and will not be repeated here.

[0400] S820, the third device divides the cubic polynomial exponential sequence in the first cubic metric group into one or more first subgroups according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence, and divides the cubic polynomial exponential sequence in the second cubic metric group into one or more second subgroups.

[0401] Among them, multiple first groups or multiple second groups are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, each first group or each second group corresponds to one or more cubic term coefficients, and the maximum value of the mutual fuzzy function of any two cubic polynomial exponential sequences in each first group or each second group is less than or equal to the first threshold.

[0402] Optionally, the first threshold may be configured or preconfigured. For example, the first threshold δ may satisfy:

[0403]

[0404] Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0405] Optionally, the first group may be referred to as a first set, which means one or more first sets to which all cubic polynomial exponential sequences in the first cubic metric group belong after being divided, and similarly, the second group may be referred to as a second set, which means one or more second sets to which all cubic polynomial exponential sequences in the second cubic metric group belong after being divided. For ease of description, this application uniformly takes the first group and the second group as examples for explanation.

[0406] S830, the third device arranges the multiple cubic coefficients corresponding to the last first group to the first first group in ascending or descending order according to the cubic measure of the cubic polynomial exponential sequence, and arranges the multiple cubic coefficients corresponding to the first second group to the last second group in ascending or descending order according to the cubic measure of the cubic polynomial exponential sequence.

[0407] Exemplarily, each cubic term coefficient corresponds to one or more cubic polynomial exponential sequences, which can also be said that there are one or more cubic polynomial exponential sequences with the same cubic term coefficient. Correspondingly, the cubic metric mean of the cubic polynomial exponential sequence corresponding to each cubic term coefficient is calculated, and multiple cubic term coefficients of a group are arranged in ascending or descending order according to the cubic metric mean of the cubic polynomial exponential sequence corresponding to the cubic term coefficient. Furthermore, one or more cubic term coefficients in the last first group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and one or more cubic term coefficients in the first second group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence.

[0408] The following three examples are provided for specific description of the grouping and sorting method of steps S810-S830.

[0409] In the first example, the cubic coefficients of the cubic polynomial exponential sequences in each first group are the same, and the maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the first group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to The cubic coefficients of the cubic polynomial exponential sequences in each second group are the same, and the maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the second group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0410] In the second example, each first group contains one or more cubic polynomial exponential sequences with different cubic coefficients, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any first group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to Each second group contains one or more cubic polynomial exponential sequences with different cubic coefficients. The maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any second group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0411] In a third example, all cubic polynomial exponential sequences in the first cubic metric group belong to a first subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequences in the first subgroup is less than or equal to All cubic polynomial exponential sequences in the second cubic metric group belong to a second subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the second subgroup is less than or equal to

[0412] Based on the above-mentioned grouping method of cubic polynomial exponential sequence, the corresponding first mapping relationship can be obtained, that is, please refer to the above-mentioned Tables 2 to 4 and their related descriptions respectively, and then according to the first mapping relationship, random access and signal synchronization of terminal devices can be achieved.

[0413] It should be understood that the above three examples are only provided for ease of understanding and should not constitute any limitation on the technical solution of the present application. The specific implementation of the above examples can refer to the relevant description of step S310 of the above method 300, which will not be repeated here.

[0414] According to the solution provided by the present application, the third device can determine the correspondence between the logical sequence number and the physical sequence number of the cubic polynomial exponential sequence by designing the first mapping relationship and the grouping and sorting method of the cubic polynomial exponential sequence. Compared with the existing communication sequence, the sequence capacity of the cubic polynomial exponential sequence is increased, which can support the Doppler frequency shift of more subcarrier spacings, improve the configuration efficiency of sequence resources, and meet the transmission requirements of more terminal devices.

[0415] Combination of the above Figures 3 to 8, describes in detail the communication method side embodiment of the present application, and will be combined with Figures 9 and 10 , describes in detail the communication device side embodiment of the present application. It should be understood that the description of the device embodiment corresponds to the description of the method embodiment, so the parts not described in detail can refer to the previous method embodiment.

[0416] Fig. 9 is a schematic block diagram of a communication device 900 provided in an embodiment of the present application. Fig. 9 As shown, the communication device 900 includes a processing module 901 and a communication module 902. The communication device 900 may be a first device, or a communication device applied to the first device or used in combination with the first device and capable of implementing the method executed by the first device, such as a chip, a chip system or a circuit; or the communication device 900 may be a second device, or a communication device applied to the second device or used in combination with the second device and capable of implementing the method executed by the second device, such as a chip, a chip system or a circuit.

[0417] The communication module may also be referred to as a transceiver module, a transceiver, a transceiver, a transceiver unit or a transceiver device, etc. The processing module may also be referred to as a processor, a processing board, a processing unit, or a processing device, etc. Optionally, the communication module is used to perform the sending operation and the receiving operation of the first device and the second device in the above method, and the device used to implement the receiving function in the communication module may be regarded as a receiving unit, and the device used to implement the sending function in the communication module may be regarded as a sending unit, that is, the communication module includes a receiving unit and a sending unit.

[0418] In an example, when the communication device 900 is applied to a first device, the processing module 901 may be used to implement the processing function of the first device in the above embodiment, and the communication module 902 may be used to implement the transceiver function of the first device in the above embodiment.

[0419] In another example, when the communication device 900 is applied to a second device, the processing module 901 may be used to implement the processing function of the second device in the above embodiment, and the communication module 902 may be used to implement the transceiver function of the second device in the above embodiment.

[0420] In another example, when the communication device 900 is applied to a third device, the processing module 901 can be used to implement the processing function of the third device in the above embodiment, and the communication module 902 can be used to implement the transceiver function of the third device in the above embodiment. In addition, it should be noted that the aforementioned communication module and / or processing module can be implemented by a virtual module, for example, the processing module can be implemented by a software function unit or a virtual device, and the communication module can be implemented by a software function or a virtual device. Alternatively, the processing module or the communication module can also be implemented by a physical device, for example, if the device is implemented using a chip / circuit (such as an integrated circuit or a logic circuit, etc.). The communication module can be an input-output circuit and / or a communication interface, performing input operations (corresponding to the aforementioned receiving operations) and output operations (corresponding to the aforementioned sending operations); the processing module is an integrated processor or microprocessor or circuit (such as an integrated circuit or a logic circuit, etc.).

[0421] The division of modules in this application is schematic and is only a logical function division. There may be other division methods in actual implementation. In addition, each functional module in each example of this application may be integrated into one processor, or may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0422] Fig.10 1 is a schematic block diagram of a communication device 1000 provided in an embodiment of the present application. Optionally, the communication device 1000 may be a chip or a chip system. Optionally, in the present application, the chip system may be composed of a chip, or may include a chip and other discrete devices.

[0423] like Fig.10 As shown, the communication device 1000 can be used to implement the functions of any device (e.g., the first device, the second device) in the communication system described in the above examples. The communication device 1000 may include at least one processor 1010. Optionally, the processor 1010 is coupled to a memory, and the memory may be located within the device, or the memory may be integrated with the processor, or the memory may be located outside the device. For example, the communication device 1000 may also include at least one memory 1020. The memory 1020 stores the necessary computer programs, computer programs or instructions and / or data for implementing any of the above examples; the processor 1010 may execute the computer program stored in the memory 1020 to complete the method in any of the above examples.

[0424] The communication device 1000 may also include a communication interface 1030, and the communication device 1000 may exchange information with other devices through the communication interface 1030. Exemplarily, the communication interface 1030 may be a transceiver, a circuit, a bus, a module, a pin, or other types of communication interfaces. When the communication device 1000 is a chip-type device or circuit, the communication interface 1030 in the device 1000 may also be an input-output circuit, which may input information (or receive information) and output information (or send information), and the processor 1010 may be an integrated processor, a microprocessor, an integrated circuit or a logic circuit, etc. The processor may determine the output information based on the input information.

[0425] In one example, when the communication device 1000 is applied to a first device, the processor 1010 may be used to implement the processing function of the first device in the above embodiment, and the communication interface 1030 may be used to implement the transceiver function of the first device in the above embodiment.

[0426] In another example, when the communication device 1000 is applied to a second device, the processor 1010 may be used to implement the processing function of the second device in the above embodiment, and the communication interface 1030 may be used to implement the transceiver function of the second device in the above embodiment.

[0427] In another example, when the communication device 1000 is applied to a third device, the processor 1010 may be used to implement the processing function of the third device in the above embodiment, and the communication interface 1030 may be used to implement the transceiver function of the third device in the above embodiment.

[0428] The coupling in this application is an indirect coupling or communication connection between devices, units or modules, which can be electrical, mechanical or other forms, and is used for information exchange between devices, units or modules. The processor 1010 may cooperate with the memory 1020 and the communication interface 1030. The specific connection medium between the above-mentioned processor 1010, memory 1020 and communication interface 1030 is not limited in this application.

[0429] Alternatively, if Fig.10 As shown in , the processor 1010, the memory 1020 and the communication interface 1030 are connected to each other via a bus 1040. Optionally, the bus may include an address bus, a data bus, a control bus and other types of buses. In addition, for ease of representation, Fig.10 One bus 1040 is shown in FIG. 1 , but this does not mean that there is only one bus or one type of bus.

[0430] It should be understood that the processor mentioned in the embodiments of the present application can be the following devices or part of the circuit used for processing functions in the following devices: central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0431] It should also be understood that the memory mentioned in the embodiments of the present application may be a volatile memory and / or a non-volatile memory. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM). For example, RAM can be used as an external cache. By way of example and not limitation, RAM includes the following forms: static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct rambus RAM (DR RAM).

[0432] It should be noted that when the processor is a general-purpose processor, DSP, ASIC, FPGA or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, the memory (storage module) can be integrated into the processor.

[0433] It should also be noted that the memory described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0434] An embodiment of the present application also provides a computer-readable storage medium on which computer instructions are stored for implementing the methods executed by a terminal device (such as a first device, or a second device, or a third device) in the above-mentioned method embodiments.

[0435] An embodiment of the present application also provides a computer program product, comprising instructions, which, when executed by a computer, implement the method performed by a terminal device (such as a first device, or a second device, or a third device) in the above-mentioned method embodiments.

[0436] An embodiment of the present application also provides a communication system, which includes the first device, the second device, or the third device in the above embodiment.

[0437] The explanation of the relevant contents and beneficial effects of any of the above-mentioned devices can be referred to the corresponding method embodiments provided above, which will not be repeated here.

[0438] To facilitate understanding of the embodiments of the present application, the following points are explained:

[0439] 1) In this application, unless otherwise specified or there is a logical conflict, the terms and / or descriptions between different embodiments are consistent and can be referenced to each other, and the technical features in different embodiments can be combined to form new embodiments according to their internal logical relationships.

[0440] 2) In this application, "at least one" means one or more, and "more than one" means two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. In the text description of this application, the character " / " generally indicates that the associated objects before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can mean: a, or b, or c, or a and b, or a and c, or b and c, or a, b and c. Where a, b and c can be single or multiple, respectively.

[0441] 3) In the present application, "first", "second" and various numerical references are used to distinguish for the convenience of description and are not used to limit the scope of the embodiments of the present application. For example, they are used to distinguish different messages, etc., rather than to describe a specific order or sequence. It should be understood that the objects described in this way can be interchanged where appropriate so as to be able to describe solutions other than the embodiments of the present application.

[0442] 4) In this application, the terms "comprises" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0443] 5) In this application, "used for indication" may include being used for direct indication and being used for indirect indication. When describing that a certain indication information is used for indicating A, it may include that the indication information directly indicates A or indirectly indicates A, but it does not mean that the indication information must carry A.

[0444] 6) In this application, "protocol" may refer to a standard protocol in the field of communications, such as 5G protocol, NR protocol, and related protocols used in 6G protocol or future communication systems, which is not limited in this application. "Predefined" may include pre-definition, such as protocol definition. "Preconfiguration" can be implemented by pre-saving corresponding codes, tables or other methods that can be used to indicate relevant information in the device, and this application does not limit its specific implementation method.

[0445] 7) In this application, "communication" may also be described as "data transmission", "information transmission", "data processing", etc. "Transmission" includes "sending" and "receiving".

[0446] 8) In the present application, when comparing A and B, the description of "when A is greater than or equal to B, it is divided into cubic measurement group #1, and when A is less than or equal to B, it is divided into cubic measurement group #2" can be specifically implemented as "when A is greater than or equal to B, it is divided into cubic measurement group #1; or, when A is less than B, it is divided into cubic measurement group #2", or, it can also be "when A is greater than B, it is divided into cubic measurement group #1; or, when A is less than or equal to B, it is divided into cubic measurement group #2", and the present application does not limit this.

[0447] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0448] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0449] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0450] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0451] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0452] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories, random access memories, magnetic disks, or optical disks.

[0453] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A communication method, characterized in that: include: Determine a first physical serial number according to a first logical serial number and a first mapping relationship, wherein the first mapping relationship is used to indicate a correspondence between a physical serial number of a cubic polynomial exponential sequence and a logical serial number, the cubic term coefficients of the cubic polynomial exponential sequence corresponding to each of the physical serial numbers are the same, the maximum value of a mutual fuzzy function of the cubic polynomial exponential sequences corresponding to M consecutive physical serial numbers is less than or equal to a first threshold, and the logical serial number is used to indicate a position index of the physical serial number, and M is greater than or equal to 1; A first sequence is sent, where the first sequence is determined according to the first physical sequence number.

2. The method according to claim 1, characterized in that When the cubic polynomial exponential sequence is mapped using time domain resources, the discrete time signal of the cubic polynomial exponential sequence is expressed as: Where a = λ, b = 3λkΔ T , c=lΔ F , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round-trip delay, Δ F represents the maximum Doppler frequency shift, λ is a parameter associated with a cell, and k and l are parameters associated with a terminal device in the cell.

3. The method according to claim 1 or 2, characterized in that: When frequency domain resources are used to map the cubic polynomial exponential sequence, the discrete time signal of the cubic polynomial exponential sequence is expressed as: Where a = λ, b = 3λkΔ F , c=lΔ T , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round-trip delay, Δ F represents the maximum Doppler frequency shift, λ is a parameter associated with a cell, and k and l are parameters associated with a terminal device in the cell.

4. The method according to any one of claims 1 to 3, characterized in that The first threshold δ satisfies: Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

5. The method according to any one of claims 1 to 4, characterized in that The cubic polynomial exponential sequence belongs to a first cubic metric group or a second cubic metric group, the cubic metric of each cubic polynomial exponential sequence in the first cubic metric group is less than or equal to the first cubic metric, and the cubic metric of each cubic polynomial exponential sequence in the second cubic metric group is greater than the first cubic metric; The first cubic metric group includes one or more first subgroups, the multiple first subgroups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the first cubic metric group, the multiple first subgroups are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, each first subgroup corresponds to one or more cubic term coefficients, and the multiple cubic term coefficients corresponding to the last first subgroup to the first first subgroup are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence; The second cubic measurement group includes one or more second small groups, and the multiple second small groups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence within the second cubic measurement group. The multiple second small groups are arranged in ascending order according to the cubic measurement of the corresponding cubic polynomial exponential sequence, and each second small group corresponds to one or more cubic term coefficients. The multiple cubic term coefficients corresponding to the first second small group to the last second small group are arranged alternately in ascending or descending order according to the cubic measurement of the cubic polynomial exponential sequence.

6. The method according to claim 5, characterized in that The one or more cubic term coefficients in the last first group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence; The one or more cubic term coefficients in the first second group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence.

7. The method according to claim 5 or 6, characterized in that: The cubic coefficients of the cubic polynomial exponential sequences in each of the first subgroups are the same, and the maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the first subgroup is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to The cubic coefficients of each cubic polynomial exponential sequence in the second group are the same, and the maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the second group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

8. The method according to claim 7, characterized in that The first cubic metric group includes Ω L The first group, the Ω L The first group corresponds to Ω L The cubic coefficients, Ω L The cubic coefficients are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in each first group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent first groups is less than or equal to Ω L is an integer greater than or equal to 1; The second cubic metric group includes Ω H The second group, the Ω H The second group corresponds to Ω H The cubic coefficients, Ω H The cubic coefficients are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in each second group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent second groups is less than or equal to Ω H is an integer greater than or equal to 1.

9. The method according to claim 5 or 6, characterized in that: Each of the first groups contains one or more cubic polynomial exponential sequences with different cubic coefficients, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any first group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to Each of the second subgroups contains one or more cubic polynomial exponential sequences with different cubic coefficients, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any second subgroup is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent second subgroups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

10. The method according to claim 9, characterized in that The first cubic metric group includes P first groups, each of the P first groups corresponds to Θ cubic coefficients, wherein the Θ cubic coefficients corresponding to the Pth first group are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence, and the Θ cubic coefficients corresponding to the Pth first group to the first first group are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence, the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in each first group is less than or equal to δ, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent first groups is less than or equal to P is an integer greater than or equal to 1; The second cubic metric group includes Q second groups, each of the Q second groups corresponds to Φ cubic term coefficients, wherein the Φ cubic term coefficients corresponding to the first second group are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence, and the Φ cubic term coefficients corresponding to the first first group to the Qth second group are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in each second group is less than or equal to δ, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between any two adjacent second groups is less than or equal to Q is an integer greater than or equal to 1, and δ is the first threshold.

11. The method according to claim 5 or 6, characterized in that: All cubic polynomial exponential sequences in the first cubic metric group belong to a first subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the first subgroup is less than or equal to All cubic polynomial exponential sequences in the second cubic metric group belong to a second subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the second subgroup is less than or equal to 12. The method according to claim 11, characterized in that The first group corresponds to Ω L The cubic coefficients, Ω L The cubic coefficients are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent first groups is less than or equal to Ω L is an integer greater than 1; The second group corresponds to Ω H The cubic coefficients, Ω H The cubic coefficients are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between any two adjacent second groups is less than or equal to Ω H is an integer greater than 1.

13. The method according to any one of claims 1 to 12, characterized in that The sequence capacity of the cubic polynomial exponential sequence is positively correlated with the cube of the sequence length N of the cubic polynomial exponential sequence, wherein the sequence capacity of the cubic polynomial exponential sequence is N is a prime number, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift, Indicates rounding down.

14. The method according to any one of claims 1 to 13, characterized in that for The cubic coefficient of the fuzzy function of the cubic polynomial exponential sequence, the quadratic coefficient of the fuzzy function of the cubic polynomial exponential sequence and the linear coefficient of the fuzzy function of the cubic polynomial exponential sequence are not zero at the same time, wherein τ is the round-trip delay, v is the Doppler frequency deviation, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

15. The method according to any one of claims 1 to 14, characterized in that The cubic term coefficient a of the cubic polynomial exponential sequence is associated with the quadratic term coefficient b of the cubic polynomial exponential sequence, specifically including: If the cubic term coefficient of the cubic polynomial exponential sequence a∈{1,2,…,N-1}, then the quadratic term coefficient of the cubic polynomial exponential sequence b=3akΔ T And the coefficient of the first-order term c = lΔ F ; in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

16. The method according to any one of claims 1 to 15, characterized in that The radius of the cell where the terminal device is located is 0 to c(Δ T -1)T s / 2, where c is the speed of light, T s Denotes the symbol time interval, Δ T is the maximum round trip delay.

17. The method according to any one of claims 1 to 16, characterized in that The mobile speed range of the terminal device is -c(Δ F -1)Δf / 4f c to c(Δ F -1)Δf / 4f c , where c is the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, Δ F is the maximum Doppler shift.

18. A communication method, characterized in that: include: Determine a first physical serial number according to a first logical serial number and a first mapping relationship, wherein the first mapping relationship is used to indicate a correspondence between a physical serial number of a cubic polynomial exponential sequence and a logical serial number, the cubic term coefficients of the cubic polynomial exponential sequence corresponding to each of the physical serial numbers are the same, the maximum value of a mutual fuzzy function of the cubic polynomial exponential sequences corresponding to M consecutive physical serial numbers is less than or equal to a first threshold, and the logical serial number is used to indicate a position index of the physical serial number, and M is greater than or equal to 1; A first sequence is received, where the first sequence is determined based on the first physical sequence number.

19. The method according to claim 18, characterized in that When the cubic polynomial exponential sequence is mapped using time domain resources, the discrete time signal of the cubic polynomial exponential sequence is expressed as: Where a = λ, b = 3λkΔ T , c=lΔ F , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round-trip delay, Δ F represents the maximum Doppler frequency shift, λ is a parameter associated with a cell, and k and l are parameters associated with a terminal device in the cell.

20. The method according to claim 18 or 19, characterized in that When frequency domain resources are used to map the cubic polynomial exponential sequence, the discrete time signal of the cubic polynomial exponential sequence is expressed as: Where a = λ, b = 3λkΔ F , c=lΔ T , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round-trip delay, Δ F represents the maximum Doppler frequency shift, λ is a parameter associated with a cell, and k and l are parameters associated with a terminal device in the cell.

21. The method according to any one of claims 18 to 20, characterized in that The first threshold δ satisfies: Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

22. The method according to any one of claims 18 to 21, characterized in that The cubic polynomial exponential sequence belongs to a first cubic metric group or a second cubic metric group, the cubic metric of each cubic polynomial exponential sequence in the first cubic metric group is less than or equal to the first cubic metric, and the cubic metric of each cubic polynomial exponential sequence in the second cubic metric group is greater than the first cubic metric; The first cubic metric group includes one or more first subgroups, the multiple first subgroups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the first cubic metric group, the multiple first subgroups are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, each first subgroup corresponds to one or more cubic term coefficients, and the multiple cubic term coefficients corresponding to the last first subgroup to the first first subgroup are arranged alternately in ascending or descending order according to the cubic metric of the cubic polynomial exponential sequence; The second cubic measurement group includes one or more second small groups, and the multiple second small groups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence within the second cubic measurement group. The multiple second small groups are arranged in ascending order according to the cubic measurement of the corresponding cubic polynomial exponential sequence, and each second small group corresponds to one or more cubic term coefficients. The multiple cubic term coefficients corresponding to the first second small group to the last second small group are arranged alternately in ascending or descending order according to the cubic measurement of the cubic polynomial exponential sequence.

23. The method according to claim 22, characterized in that The one or more cubic term coefficients in the last first group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence; The one or more cubic term coefficients in the first second group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence.

24. The method according to claim 22 or 23, characterized in that The cubic coefficients of the cubic polynomial exponential sequences in each of the first subgroups are the same, and the maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the first subgroup is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to The cubic coefficients of each cubic polynomial exponential sequence in the second group are the same, and the maximum value of the mutual fuzzy function of any cubic polynomial exponential sequence in the second group is less than or equal to The maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

25. The method according to claim 22 or 23, characterized in that Each of the first groups contains one or more cubic polynomial exponential sequences with different cubic coefficients, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any first group is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent first groups is less than or equal to Each of the second subgroups contains one or more cubic polynomial exponential sequences with different cubic coefficients, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in any second subgroup is less than or equal to the first threshold, and the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence between two adjacent second subgroups is less than or equal to Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

26. The method according to claim 22 or 23, characterized in that All cubic polynomial exponential sequences in the first cubic metric group belong to a first subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the first subgroup is less than or equal to All cubic polynomial exponential sequences in the second cubic metric group belong to a second subgroup, and the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence in the second subgroup is less than or equal to 27. A communication method, characterized in that: include: Dividing the cubic polynomial exponential sequence into a first cubic metric group or a second cubic metric group according to a first cubic metric, wherein the cubic metric of the cubic polynomial exponential sequence in the first cubic metric group is less than or equal to the first cubic metric, and the cubic metric of the cubic polynomial exponential sequence in the second cubic metric group is greater than the first cubic metric; Dividing the cubic polynomial exponential sequences in the first cubic metric group into one or more first subgroups, and dividing the cubic polynomial exponential sequences in the second cubic metric group into one or more second subgroups according to the maximum values ​​of the mutual fuzzy functions of the cubic polynomial exponential sequences; Arrange the multiple cubic term coefficients corresponding to the last first group to the first first group alternately in ascending or descending order of the cubic measure of the cubic polynomial exponential sequence, and arrange the multiple cubic term coefficients corresponding to the first second group to the last second group alternately in ascending or descending order of the cubic measure of the cubic polynomial exponential sequence; The multiple first groups or the multiple second groups are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, each first group or each second group corresponds to one or more cubic term coefficients, and the maximum value of the mutual fuzzy function of any two cubic polynomial exponential sequences in each first group or each second group is less than or equal to the first threshold; The one or more cubic term coefficients in the last first group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence, and the one or more cubic term coefficients in the first second group are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence.

28. A communication device, characterized in that: The method comprises a module or unit for executing the method of any one of claims 1 to 17, or a module or unit for executing the method of any one of claims 18 to 26, or a module or unit for executing the method of claim 27.

29. A communication device, characterized in that: The communication device comprises a processor, wherein the processor is coupled to a memory, wherein the memory stores instructions, and when the instructions are executed by the processor, the communication device performs the method according to any one of claims 1 to 27.

30. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store a computer program, and when the computer program is run on a computer, the computer is caused to perform the method according to any one of claims 1 to 27.

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