Communication method and communication apparatus

Abstract

A communication method and a communication apparatus. The communication method comprises: determining a first physical sequence number on the basis of a first logical sequence number and a first mapping relationship (S310); and sending a first sequence (S320), the first sequence being determined on the basis of the first physical sequence number, wherein the first mapping relationship is used for indicating the correspondence between a physical sequence number and a logical sequence number of a cubic polynomial index sequence, and cubic term coefficients of the cubic polynomial index sequence that correspond to each physical sequence number are the same, the maximum value of a cross-ambiguity function of the cubic polynomial index sequence corresponding to a plurality of consecutive physical sequence numbers is less than or equal to a first threshold value, and the logical sequence number is used for indicating a position index of the physical sequence number. In this way, the sequence capacity can be increased, the configuration efficiency of sequence resources can be improved, and transmission requirements of a terminal device can be met.

Description

Communication method and communication device

[0001] This application claims priority to the Chinese patent application filed with the State Intellectual Property Office of China on November 13, 2023, with application number 202311515203.X, and priority to the Chinese patent application with the invention name “Communication Method and Communication Device”, all contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to the field of communications, and more particularly, to a communication method and a communication device. Background Art

[0003] 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, during 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 from them 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.

[0004] Summary of the Invention

[0005] 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.

[0006] In a first aspect, a communication method is provided. The method can be performed by a first device, or by a chip or circuit of the first device, which is not limited in this application. For ease of description, the following description is based on an example of execution by the first device. 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.

[0007] The method includes: determining a first physical sequence number based on a first logical sequence number and a first mapping relationship, where the first mapping relationship is used to indicate a correspondence between a physical sequence number and a 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 a mutual ambiguity 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, where the first sequence is determined based on the first physical sequence number.

[0008] 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 a terminal device, or both be included in a network device. In this case, the sending of the first sequence by the first device to the second device is 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 this case, the sending of the first sequence by the first device to the second device is an external operation.

[0009] According to the solution 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 exponential sequence based on the first mapping relationship, and can also uniquely determine the corresponding first physical sequence number based on the first logical sequence number, and then determine multiple cubic polynomial exponential sequences based on the first physical sequence number, wherein the first sequence (i.e., the cubic polynomial exponential sequence) is an exponential sequence randomly determined from the multiple cubic polynomial exponential 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 exponential sequence is increased, and it can support the Doppler frequency deviation of more subcarrier spacings, and improve the configuration efficiency of sequence resources, meeting the transmission requirements of more first devices (e.g., terminal devices).

[0010] In the present application, the cubic coefficients of the cubic polynomial exponential sequence corresponding to each physical serial number are 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 can be multiple cubic polynomial exponential sequences with the same cubic coefficients, and the quadratic coefficients and / or linear coefficients can be the same or different.

[0011] It should be understood that the cross ambiguity function (CAF) refers to a function obtained by performing a correlation operation after fuzzy processing on two signals. 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 exponential sequences is less than or equal to the first threshold, that is, the deviation estimate between any two cubic polynomial exponential sequences is less than or equal to the first threshold. The maximum value of the cross ambiguity function of the cubic polynomial exponential sequences corresponding to M consecutive physical serial numbers is less than or equal to the first threshold, which can be understood as follows: when M is equal to 1, it means that the maximum value of the cross ambiguity function of any two cubic polynomial exponential sequences in the multiple cubic polynomial exponential 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 exponential sequences in the cubic polynomial exponential sequences corresponding to two consecutive physical serial numbers is less than or equal to the first threshold.

[0012] Optionally, the first threshold may be configured or pre-configured. For example, the first threshold δ may satisfy:

[0013] Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0014] 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 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.

[0015] In this application, a logical sequence number is used to indicate the position index of a physical sequence number. This can be understood as follows: logical sequence number #a is the position index of physical sequence number #a among all physical sequence numbers, where logical sequence number #a corresponds to physical sequence number #a. It should be noted that in this application, two or more identical physical sequence numbers may exist. The logical sequence numbers corresponding to these two or more identical physical sequence numbers are different from each other. In other words, each physical sequence number corresponds to a logical sequence number, and the corresponding physical sequence number can be uniquely determined based on the logical sequence number.

[0016] 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., a terminal device) or the second device (e.g., a network device). This application does not limit the specific implementation method.

[0017] Optionally, the first mapping relationship may exist in the form of a table, function, text, or character string, such as for storage or transmission.

[0018] Optionally, the method further includes: the second device indicating 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) via broadcast information, or may be sent by the second device to the first device via 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.

[0019] It should be understood that the first sequence is determined based on the first physical sequence number, which can be understood as follows: a first device (e.g., a terminal device) sequentially determines 64 cubic polynomial exponential sequences based on the first physical sequence number and randomly selects one of the cubic polynomial exponential sequences for access. This randomly selected cubic polynomial exponential sequence is the first sequence. The first device (e.g., the terminal device) then sends the first sequence to a second device (e.g., a network device). In response, the second device (e.g., the network device) performs blind detection on the 64 cubic polynomial exponential sequences and determines the first sequence, while also determining the round-trip delay and / or Doppler shift.

[0020] 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.

[0021] 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, chip system or circuit in a network device or a terminal device, and this application does not limit this.

[0022] In the 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 this case, the sending of the first sequence by the first device to the second device is 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 this case, the sending of the first sequence by the first device to the second device is an external operation.

[0023] 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 based on 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, and the multiple second groups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence within 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, and each second group corresponds to one or more cubic term coefficients. 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.

[0024] Optionally, the first cubic metric may be configured or pre-configured, for example, the first cubic metric CM = 1.2 dB, 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 terms, and this application does not limit this.

[0025] Optionally, the first group can be referred to as a first set, i.e., representing one or more first sets to which all cubic polynomial exponential sequences within the first cubic metric group are partitioned. Similarly, the second group can be referred to as a second set, i.e., representing one or more second sets to which all cubic polynomial exponential sequences within the second cubic metric group are partitioned. For ease of description, this application uses the first and second groups as examples.

[0026] 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.

[0027] Based on this implementation, a general partitioning method for cubic polynomial exponential sequences 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 metrics of adjacent cubic polynomial exponential sequences do not jump, so as to ensure the detection probability of random access signals and the efficiency of power amplifiers.

[0028] 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.

[0029] Exemplarily, the first cubic metric group includes Ω L The first group, Ω L The first group corresponds one to one with 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 one to one with 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.

[0030] Based on this implementation, all cubic polynomial exponential sequences in each first group or each second group correspond to the same cubic term coefficient, so the implementation is simple and the configuration efficiency is high.

[0031] In certain implementations of the first 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 sequences within 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 sequences 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.

[0032] Exemplarily, the first cubic metric group includes P first groups, each of the P first groups corresponds to Θ cubic term coefficients, wherein the Θ cubic term coefficients corresponding to the P-th first group are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence, and the Θ cubic term coefficients corresponding from the P-th 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 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; 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 a first threshold.

[0033] Based on this implementation, each first subgroup or each second subgroup includes a cubic polynomial exponential sequence corresponding to one or more cubic coefficients. The cubic polynomial exponential sequence has a small mutual ambiguity function and small cubic metric fluctuation, thereby improving the detection probability of the random access signal and the efficiency of the power amplifier. In other words, the x cubic polynomial exponential sequences in each subgroup can correspond to y different cubic coefficients, where x is less than or equal to y, and x and y are positive integers.

[0034] 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 ambiguity 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

[0035] For example, 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.

[0036] 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 high.

[0037] In certain implementations of the first aspect, the cubic polynomial exponential sequence is expressed as:

[0038] Wherein, a is the coefficient of the cubic term of the cubic polynomial exponential sequence, b is the coefficient of the quadratic term of the cubic polynomial exponential sequence, c is the coefficient of the linear term 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, and 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 linear coefficient 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] 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.

[0042] 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:

[0043] 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.

[0044] Based on the above scheme, the first device can map the first sequence (i.e., the 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.

[0045] 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.

[0046] 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. It can support the Doppler frequency deviation of more subcarrier spacings, improve the configuration efficiency of sequence resources, and meet the transmission needs of more terminal devices.

[0047] In certain implementations of the first aspect, for The cubic coefficient of the ambiguity function of the cubic polynomial exponential sequence, the quadratic coefficient of the ambiguity function of the cubic polynomial exponential sequence, and the linear coefficient of the ambiguity 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 shift, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0048] 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 region 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 region 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 of the fuzzy function is excluded from the fuzzy region, it can be ensured that the maximum value of the fuzzy function in the fuzzy region is small.

[0049] In certain 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 represents the speed of light, T s represents the symbol time interval, Δ T is the maximum round-trip delay.

[0050] In certain implementations of the first aspect, the moving speed range of the terminal device is -c(Δ F -1)Δf / 4f cto c(Δ F -1)Δf / 4f c , where c represents the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, Δ F is the maximum Doppler shift.

[0051] In a second aspect, a communication method is provided. The method can be performed by a second device, or by a chip or circuit of the second device, which is not limited in this application. For ease of description, the following description uses the second device as an example. 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.

[0052] The method includes: determining a first physical serial number based on 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, the cubic term coefficients of the cubic polynomial exponential sequence corresponding to each physical serial number 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, 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; and receiving a first sequence, where the first sequence is determined based on the first physical serial number.

[0053] In one implementation, receiving the first sequence may include: the second device receiving 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 this case, the second device receiving the first sequence from the first device is 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 this case, the second device receiving the first sequence from the first device is an external operation.

[0054] According to the solution 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 exponential sequence based on the first mapping relationship, and can also uniquely determine the corresponding first physical sequence number based on the first logical sequence number. Further, based on the first physical sequence number, multiple cubic polynomial exponential sequences can be determined, wherein the first sequence (i.e., the cubic polynomial exponential sequence) is an exponential sequence randomly determined from the multiple cubic polynomial exponential sequences, and synchronous communication is achieved with the first device by receiving the first sequence. Compared with existing communication sequences, the sequence capacity of the cubic polynomial exponential sequence is increased, and it can support the Doppler frequency deviation of more subcarrier spacings, and improve the configuration efficiency of sequence resources, meeting the transmission requirements of more first devices (e.g., terminal devices).

[0055] 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, and the multiple first subgroups are determined based on 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, and the multiple second groups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence within 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, and each second group corresponds to one or more cubic term coefficients. 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.

[0056] 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.

[0057] 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.

[0058] Exemplarily, the first cubic metric group includes Ω L The first group, Ω L The first group corresponds one to one with 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 one to one with 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.

[0059] 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 sequences within 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 sequences 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.

[0060] Exemplarily, the first cubic metric group includes P first groups, each of the P first groups corresponds to Θ cubic term coefficients, wherein the Θ cubic term coefficients corresponding to the P-th first group are arranged in ascending order according to the cubic metric of the cubic polynomial exponential sequence, and the Θ cubic term coefficients corresponding from the P-th 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 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; 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 a first threshold.

[0061] 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 ambiguity 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

[0062] For example, 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.

[0063] In certain implementations of the second aspect, the cubic polynomial exponential sequence is expressed as:

[0064] Wherein, a is the coefficient of the cubic term of the cubic polynomial exponential sequence, b is the coefficient of the quadratic term of the cubic polynomial exponential sequence, c is the coefficient of the linear term 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, and N is a prime number, n∈{0,1,…,N-1}.

[0065] 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 linear coefficient c=lΔ F ;in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0066] 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:

[0067] 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.

[0068] 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:

[0069] Where a = λ, b = 3λkΔ F , c=lΔ T , d=0, λ∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, ΔF 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.

[0070] 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.

[0071] In some implementations of the second aspect, for The cubic coefficient of the ambiguity function of the cubic polynomial exponential sequence, the quadratic coefficient of the ambiguity function of the cubic polynomial exponential sequence, and the linear coefficient of the ambiguity 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 shift, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0072] In certain 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 represents the speed of light, T s represents the symbol time interval, Δ T is the maximum round-trip delay.

[0073] In certain 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 represents the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, Δ F is the maximum Doppler shift.

[0074] The beneficial effects of the above-mentioned second aspect and certain implementation methods of the second aspect can be referred to the corresponding description of the first aspect and will not be repeated here.

[0075] In a third aspect, a communication method is provided. The method can be executed by a third device, or can also be executed by a chip or circuit for a third device, and this application does not limit this. For ease of description, the following description is taken as an example of execution by a third device. 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.

[0076] 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, and dividing the cubic polynomial exponential sequence in the second cubic metric group into one or more second subgroups according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence; arranging 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 arranging multiple cubic term coefficients corresponding to the first second subgroup to the last second subgroup alternately in ascending or descending order of the cubic metric of the cubic polynomial exponential sequence;

[0077] 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.

[0078] According to the solution 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.

[0079] Optionally, the first threshold may be configured or pre-configured. For example, the first threshold δ may satisfy:

[0080] Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0081] Optionally, the first cubic metric may be configured or pre-configured, for example, the first cubic metric CM = 1.2 dB, 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 terms, and this application does not limit this.

[0082] Optionally, the first group can be referred to as a first set, i.e., representing one or more first sets to which all cubic polynomial exponential sequences within the first cubic metric group are partitioned. Similarly, the second group can be referred to as a second set, i.e., representing one or more second sets to which all cubic polynomial exponential sequences within the second cubic metric group are partitioned. For ease of description, this application uses the first and second groups as examples.

[0083] 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.

[0084] In certain implementations of the third 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 sequences within 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 sequences 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.

[0085] 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 ambiguity 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

[0086] In certain implementations of the third aspect, the cubic polynomial exponential sequence is expressed as:

[0087] Wherein, a is the coefficient of the cubic term of the cubic polynomial exponential sequence, b is the coefficient of the quadratic term of the cubic polynomial exponential sequence, c is the coefficient of the linear term 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, and N is a prime number, n∈{0,1,…,N-1}.

[0088] 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 linear coefficient c=lΔ F ;in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0089] 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:

[0090] 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.

[0091] 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:

[0092] 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.

[0093] 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.

[0094] In certain implementations of the third aspect, The cubic coefficient of the ambiguity function of the cubic polynomial exponential sequence, the quadratic coefficient of the ambiguity function of the cubic polynomial exponential sequence, and the linear coefficient of the ambiguity 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 shift, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0095] In certain 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 represents the speed of light, T s represents the symbol time interval, Δ T is the maximum round-trip delay.

[0096] In certain 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 represents the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, Δ F is the maximum Doppler shift.

[0097] The beneficial effects of the third aspect and certain implementation methods of the third aspect can be referred to the corresponding description of the first aspect and will not be repeated here.

[0098] In a fourth aspect, a communication device is provided. The communication device may be a first device, or a module or unit (e.g., a chip, or a chip system, or a circuit) in the first device that corresponds 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.

[0099] 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.

[0100] A processing unit is configured to determine a first physical serial number based on a first logical serial number and a first mapping relationship, where the first mapping relationship is configured to indicate a correspondence between a physical serial number and a logical serial number of a cubic polynomial exponential sequence, where the cubic coefficients of the cubic polynomial exponential sequence corresponding to each physical serial number are the same, and the maximum value of a mutual ambiguity function of the cubic polynomial exponential sequences corresponding to M consecutive physical serial numbers is less than or equal to a first threshold value, and the logical serial number is configured to indicate a position index of the physical serial number, where M is greater than or equal to 1. A transceiver unit is configured to send a first sequence, where the first sequence is determined based on the first physical serial number.

[0101] In combination with the fourth aspect, in certain implementations of the fourth aspect, the first threshold δ satisfies:

[0102] Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0103] 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, and the multiple first subgroups are determined based on 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 The cubic coefficients, the corresponding multiple cubic coefficients from 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, and the multiple second groups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence within 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, and each second group corresponds to one or more cubic coefficients. The corresponding multiple cubic coefficients from 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.

[0104] 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.

[0105] 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 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.

[0106] 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 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.

[0107] 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

[0108] In combination with the fourth aspect, in certain implementations of the fourth aspect, the cubic polynomial exponential sequence is expressed as:

[0109] Wherein, a is the coefficient of the cubic term of the cubic polynomial exponential sequence, b is the coefficient of the quadratic term of the cubic polynomial exponential sequence, c is the coefficient of the linear term 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, and N is a prime number, n∈{0,1,…,N-1}.

[0110] 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 linear coefficient c=lΔ F ;in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0111] 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:

[0112] 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.

[0113] 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:

[0114] 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.

[0115] 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.

[0116] In combination with the fourth aspect, in certain implementations of the fourth aspect, The cubic coefficient of the ambiguity function of the cubic polynomial exponential sequence, the quadratic coefficient of the ambiguity function of the cubic polynomial exponential sequence, and the linear coefficient of the ambiguity 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 shift, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0117] 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 represents the speed of light, T s represents the symbol time interval, Δ T is the maximum round-trip delay.

[0118] 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 represents the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, Δ F is the maximum Doppler shift.

[0119] In a fifth aspect, a communication device is provided. The communication device may be a second device, or a module or unit (e.g., a chip, or a chip system, or a circuit) in a third device that corresponds to 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.

[0120] 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.

[0121] A processing unit is configured to determine a first physical serial number based on a first logical serial number and a first mapping relationship, where the first mapping relationship is configured 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, and where the maximum value of a mutual ambiguity function of the cubic polynomial exponential sequences corresponding to M consecutive physical serial numbers is less than or equal to a first threshold value, and where the logical serial number is configured to indicate a position index of the physical serial number, where M is greater than or equal to 1. A transceiver unit is configured to receive a first sequence, where the first sequence is determined based on the first physical serial number.

[0122] In combination with the fifth aspect, in certain implementations of the fifth aspect, the first threshold δ satisfies:

[0123] Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0124] 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, and 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 The cubic coefficients, the corresponding multiple cubic coefficients from 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, and the multiple second groups are determined according to the maximum value of the mutual fuzzy function of the cubic polynomial exponential sequence within 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, and each second group corresponds to one or more cubic coefficients. The corresponding multiple cubic coefficients from 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.

[0125] 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.

[0126] 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 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.

[0127] In some implementations of the fifth 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 sequences within 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 sequences 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.

[0128] 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

[0129] In combination with the fifth aspect, in certain implementations of the fifth aspect, the cubic polynomial exponential sequence is expressed as:

[0130] Wherein, a is the coefficient of the cubic term of the cubic polynomial exponential sequence, b is the coefficient of the quadratic term of the cubic polynomial exponential sequence, c is the coefficient of the linear term 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, and N is a prime number, n∈{0,1,…,N-1}.

[0131] 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 linear coefficient c=lΔ F ;in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0132] 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:

[0133] 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.

[0134] 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:

[0135] 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.

[0136] 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.

[0137] In combination with the fifth aspect, in certain implementations of the fifth aspect, The cubic coefficient of the ambiguity function of the cubic polynomial exponential sequence, the quadratic coefficient of the ambiguity function of the cubic polynomial exponential sequence, and the linear coefficient of the ambiguity 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 shift, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0138] In combination with the fifth aspect, in certain 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 represents the speed of light, T s represents the symbol time interval, Δ T is the maximum round-trip delay.

[0139] In combination with the fifth aspect, in certain 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 represents the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, Δ F is the maximum Doppler shift.

[0140] In a sixth aspect, a communication device is provided. The communication device may be a third device, or a module or unit (e.g., a chip, or a chip system, or a circuit) in the third device that corresponds 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.

[0141] 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.

[0142] A processing unit is used to: divide the 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 alternately arrange the 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 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.

[0143] In combination with the sixth aspect, in certain implementations of the sixth aspect, the first threshold δ satisfies:

[0144] Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0145] In some 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 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.

[0146] 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 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.

[0147] 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

[0148] In combination with the sixth aspect, in certain implementations of the sixth aspect, the cubic polynomial exponential sequence is expressed as:

[0149] Wherein, a is the coefficient of the cubic term of the cubic polynomial exponential sequence, b is the coefficient of the quadratic term of the cubic polynomial exponential sequence, c is the coefficient of the linear term 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, and N is a prime number, n∈{0,1,…,N-1}.

[0150] 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 linear coefficient c=lΔ F ;in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0151] 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:

[0152] 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.

[0153] 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:

[0154] 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.

[0155] In some 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.

[0156] In conjunction with the sixth aspect, in certain implementations of the sixth aspect, The cubic coefficient of the ambiguity function of the cubic polynomial exponential sequence, the quadratic coefficient of the ambiguity function of the cubic polynomial exponential sequence, and the linear coefficient of the ambiguity 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 shift, Δ T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0157] In combination with the sixth aspect, in certain 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 represents the speed of light, T s represents the symbol time interval, Δ T is the maximum round-trip delay.

[0158] In combination with the sixth aspect, in certain 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 represents the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, Δ F is the maximum Doppler shift.

[0159] In the seventh aspect, a communication device is provided, including a transceiver, a processor and a memory, wherein the processor is used to control the transceiver to send and receive 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 the method in any possible implementation of the above-mentioned first to third aspects.

[0160] Optionally, there are one or more processors and one or more memories.

[0161] 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.

[0162] Optionally, the memory may also be outside the communication device and coupled to the processor.

[0163] Optionally, the communication device further includes: a transmitter (emitter) and a receiver (receiver).

[0164] In the eighth aspect, a communication device is provided, which can 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.

[0165] 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 conjunction with the second device.

[0166] 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 conjunction with the third device.

[0167] In an eleventh aspect, a communication system is provided, comprising a first apparatus and a second apparatus, wherein the first apparatus is configured to execute the method of any possible implementation of the first aspect, and the second apparatus is configured to execute the method of any possible implementation of the second aspect. Optionally, the communication system may further include other devices used in conjunction with the first apparatus and / or the second apparatus.

[0168] In a twelfth aspect, a communication system is provided, comprising a third apparatus, wherein the third apparatus is configured to execute the method in any possible implementation of the third aspect. Optionally, the communication system may further comprise other devices used in conjunction with the third apparatus.

[0169] 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 the method in any possible implementation of the first to third aspects above.

[0170] In a fourteenth aspect, a chip or chip system is provided, comprising at least one processor coupled to a memory, the memory being configured to store a computer program, the processor being configured to retrieve and execute the computer program from the memory, so that a device equipped with the chip or chip system performs the method of any possible implementation of aspects 1 to 3 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.

[0171] In a fifteenth aspect, a computer program product is provided, comprising: a computer program code, which, when executed, enables the computer to execute the method in any possible implementation of the first to third aspects above. BRIEF DESCRIPTION OF THE DRAWINGS

[0172] FIG1 is a schematic structural diagram of a communication system;

[0173] FIG2 is a schematic diagram of the self-ambiguity function and mutual ambiguity function of the Zadoff-Chu type sequence;

[0174] FIG3 is a schematic diagram of an interaction flow of a communication method 300 provided in an embodiment of the present application;

[0175] FIG4 is a schematic diagram of dividing a cubic polynomial exponential sequence provided in an embodiment of the present application;

[0176] FIG5 is a schematic diagram of dividing another cubic polynomial exponential sequence provided in an embodiment of the present application;

[0177] FIG6 is a schematic diagram of dividing another cubic polynomial exponential sequence provided in an embodiment of the present application;

[0178] FIG7 is a schematic diagram of dividing another cubic polynomial exponential sequence provided in an embodiment of the present application;

[0179] FIG8 is a schematic diagram of an interaction flow of a communication method 800 provided in an embodiment of the present application;

[0180] FIG9 is a schematic structural diagram of a communication device 900 provided in an embodiment of the present application;

[0181] FIG10 is a schematic structural diagram of a communication device 1000 provided in an embodiment of the present application. DETAILED DESCRIPTION

[0182] The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings.

[0183] The technical solutions provided in this application can be applied to various communication systems, such as: fifth generation (5G) or new radio (NR) systems, long term evolution (LTE) systems, LTE frequency division duplex (FDD) systems, LTE time division duplex (TDD) systems, etc. The technical solutions provided in this application can also be applied to future communication systems, such as sixth generation (6G) mobile communication systems. The technical solutions provided in this application can also be applied to device to device (D2D) communication, vehicle-to-everything (V2X) communication, machine to machine (M2M) communication, machine type communication (MTC), and Internet of Things (IoT) communication systems or other communication systems.

[0184] 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 can also include the current 3GPP Rel-16 and subsequent versions of V2X communications based on the NR system.

[0185] 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.

[0186] The terminal device can be a device that provides voice / data to users, for example, a handheld device or 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 capabilities, 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 (PLMNs). The terminal equipment in the network (PLMN), etc., is not limited to this in the embodiments of the present application.

[0187] As an example but not limited to the embodiments of the present application, the terminal device can also be a wearable device. Wearable devices can also be called wearable smart devices, which are a general term for wearable devices that use wearable technology to intelligently design and develop wearable devices 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 achieve powerful functions through software support, data interaction, and cloud interaction. Broadly speaking, wearable smart devices include full-featured, large-sized, and independent of smartphones to achieve complete or partial functions, such as smart watches or smart glasses, as well as those 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 smart bracelets and smart jewelry for vital sign monitoring.

[0188] In the embodiments of the present application, the device for implementing 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 implement the function, such as a chip system or chip, which can be installed in the terminal device. In the embodiments of the present application, the chip system can be composed of a chip, or can include a chip and other discrete devices.

[0189] The network device in the embodiments of the present application may be a device for communicating with a terminal device, and may also be referred to as an access network device or a radio access network device. For example, the network device may be a base station. The network device in the embodiments of the present application may refer to a radio 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 replace the following names, such as: NodeB, evolved NodeB (eNB), next generation NodeB (gNB), relay station, access point, transmitting and receiving point (TRP), transmitting point (TP), master station, secondary station, multi-standard radio (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. A base station may also refer to a communication module, modem, or chip used to be set in the aforementioned device or apparatus. A base station may also be a mobile switching center and a device that performs base station functions in D2D, V2X, and M2M communications, a network-side device in a 6G network, or a device that performs base station functions in future communication systems. A base station may support networks with the same or different access technologies. The embodiments of this application do not limit the specific technology and specific device form used by network devices.

[0190] 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.

[0191] 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.

[0192] In the embodiments of the present application, the apparatus for implementing the function of the network device can be the network device, or it can be an apparatus capable of supporting the network device to implement the function, such as a chip system or chip, which can be installed in the network device. In the embodiments of the present application, the chip system can be composed of a chip, or it can include a chip and other discrete devices.

[0193] The network equipment and terminal devices can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; they can also be deployed on water; they can also be deployed in the air on aircraft, balloons, and satellites. The embodiments of this application do not limit the scenarios in which the network equipment and terminal devices are located.

[0194] The following briefly introduces a communication system applicable to an embodiment of the present application in conjunction with FIG1 , as follows.

[0195] Figure 1 is a schematic diagram of the structure of a communication system 100 applicable to an embodiment of the present application. As shown in Figure 1 , the communication system may include a network device (e.g., gNB 107) and terminal devices (e.g., UEs 101-106). The network device may include one or multiple antennas. Furthermore, the network device may additionally include a transmitter chain and a receiver chain. Those skilled in the art will appreciate that each of these may include multiple components related to signal transmission and reception (e.g., a processor, modulator, multiplexer, demodulator, demultiplexer, or antenna, etc.). Figure 1 is a simplified schematic diagram for example only. The number of terminal devices in the communication system shown in Figure 1 is for illustration only; the number of terminal devices in the communication system may be other. Furthermore, the communication system may include other communication devices not shown in Figure 1. In this communication system, a terminal device (e.g., UEs 101-106) may determine a frequency resource from a set of frequency resources and transmit uplink signals to a network device (e.g., gNB 107) on the frequency resource. In response, the network device (e.g., gNB 107) receives the uplink signals. Similarly, in this communication system, the network device (e.g., gNB 107) can also send downlink signals to the terminal devices (e.g., UE 101-106) on the determined frequency resources.

[0196] It should be noted that the embodiments of the present application do not specifically limit the specific structure of the execution subject of the method provided in the embodiments of the present application. As long as it is possible to communicate according to the method provided in the embodiments of the present application by running a program that records the code of the method provided in the embodiments of the present application, for example, the execution subject of the method provided in the embodiments of the present application can be the first device, or it can be a functional module in the first device that can call and execute the program, or it can also 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 can also be other devices that can be used in combination with the first device.

[0197] To facilitate understanding of the embodiments of the present application, the terms and technical principles involved in the present application are first briefly explained.

[0198] 1) Fuzzy function;

[0199] There are two types of fuzzy functions: self-fuzzy functions and mutual fuzzy functions.

[0200] 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.

[0201] 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.

[0202] 2) Zero fuzzy zone;

[0203] The zero ambiguity zone means that the ambiguity function is equal to zero within a certain delay and Doppler range, or in other words, the ambiguity zone means that the ambiguity function is equal to zero within the maximum round-trip delay and maximum Doppler frequency shift range.

[0204] 3) low blur area;

[0205] The low ambiguity zone means that within a certain delay and Doppler range, 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.

[0206] 4) Zero correlation zone;

[0207] The zero correlation zone means that the correlation function is equal to zero within a certain delay interval, or in other words, the zero correlation zone means that the correlation function is equal to zero within the maximum round-trip delay range (no Doppler shift).

[0208] 5) low correlation area;

[0209] 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.

[0210] 6) Sequence capacity;

[0211] Sequence capacity refers to the number of sequences contained in a sequence set. For Zadoff-Chu sequences, sequence capacity refers to the number of sequences constructed using different root indices and cyclic shifts.

[0212] 7) Cubic metric (CM);

[0213] Cubic metric is defined as:

[0214] Here, rms(·) represents the root mean square.

[0215] 8) Exponential Sum Theorem (Weil Bound on Exponential Sum);

[0216] If the d-degree polynomial p(n) = p d n d+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:

[0217] In particular, when d = 2, the exponential sum of the polynomial p(n) degenerates into a Gaussian sum

[0218] In communication systems, commonly used communication sequences include Alltop sequences, Zadoff-Chu sequences (ZC sequences), and Zadoff-Chu Cover Alltop sequences. Sequence correlation enables downlink synchronization signals and uplink random access, while sequence orthogonality enables pilot multiplexing. Common sequence evaluation metrics include at least one of the following: autocorrelation, cross-correlation, sequence capacity, frequency offset robustness, peak-to-average power ratio (PAPR), time-domain constant modulus, or frequency-domain constant modulus.

[0219] FIG2 is a schematic diagram of the self-ambiguity function and mutual ambiguity function of a Zadoff-Chu sequence (i.e., a sequence similar to a ZC sequence, which can also be called a quadratic polynomial exponential sequence). FIG2(a) shows the self-ambiguity function of a ZC sequence, and FIG2(b) shows the mutual ambiguity function of a ZC sequence. As shown in FIG2(a), the self-ambiguity function of a ZC sequence has multiple peaks in the delay-Doppler plane, that is, the self-ambiguity function of a ZC sequence has a multi-peak characteristic. As shown in FIG2(b), the mutual ambiguity function of a ZC sequence has no peak in the delay-Doppler plane, and the maximum value of the mutual ambiguity function of a ZC sequence is

[0220] For example, the physical random access channel (PRACH) typically uses different cyclic shifts of the ZC sequence to form a zero correlation zone to achieve uplink user access and delay estimation, thereby measuring the distance of the user relative to the base station. For example, the discrete time signal of the ZC sequence can be expressed as:

[0221] Among them, Δ T represents the zero correlation zone, k represents the cyclic shift index, N is the length of the sequence, which 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 transmitter, the receiver can use periodic correlation to obtain an ideal impulse function. As can be seen from formula (3), ZC sequence In the delay domain, shift multiplexing forms a zero correlation zone.

[0222] 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,v) satisfies:

[0223] Where τ represents the round-trip delay (or propagation delay), and v represents the Doppler shift. To improve the ZC sequence's ability to mitigate Doppler shift, the cyclic shifts of the ZC sequence can be restricted. For example, a cyclic shift within the ZC sequence's cyclic shift restriction set can be selected to mitigate frequency offset.

[0224] Exemplarily, the ambiguity function of the ZC sequence is expressed as:

[0225] 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.

[0226] 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 scenarios where the terminal device is moving at high speed, in order to combat Doppler frequency deviation, the ZC sequence can obtain cyclic shifts through restricted sets type A or type B, thereby further reducing the sequence capacity. Among them, the cyclic shifts obtained by the ZC sequence through restricted sets type A support combating Doppler frequency deviations of no more than 1 subcarrier spacing, and the number of available cyclic shifts does not exceed 1 / 3 of the unrestricted set; the cyclic shifts obtained by the ZC sequence through restricted sets type B support combating Doppler frequency deviations of no more than 2 subcarrier spacings, 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.

[0227] Optionally, the ZC sequence of the cyclic shift restricted set can be expressed as:

[0228] Where n = 0, 1, ..., N-1, C k represents the cyclic shift of the ZC sequence.

[0229] 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 ΔF There are also certain constraints on the product of ZC sequence, for example, the maximum zero ambiguity area of ​​the ZC sequence does not exceed the sequence length of the ZC sequence.

[0230] 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 the SIB. The terminal device determines 64 ZC sequences from Table 1 below in sequence 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 overall principle of the arrangement order of the ZC sequences is that the cubic metric and maximum cell radius of adjacent ZC sequences do not jump. Among them, the arrangement order of the ZC sequences satisfies the following rules:

[0231] 1) Using CM = 1.2dB as the boundary, the ZC sequences are divided into cubic metric group #1 (also called the low cubic metric group) and cubic metric group #2 (also called the 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. 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.

[0232] 2) For low cubic metric groups or high cubic metric groups, the ZC sequence in the group is used to counter the maximum cell radius supported by ±1 subcarrier frequency offset. The teams are divided into 16 groups, including:

[0233] 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. This means that the ZC sequence of the last group in 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. This means that the ZC sequence of the first group in 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.

[0234] Table 1 shows the one-to-one mapping relationship between the logical sequence number and the physical sequence number of the ZC sequence when the sequence length N = 839. It can be seen that because the maximum cell radius and cubic metric supported by the conjugated root sequence are the same, the conjugated physical sequence numbers always appear in adjacent positions. For example, if the base station indicates the logical sequence number as 25 through the SIB, the terminal device can uniquely determine the physical sequence number as 783, and thus determine 64 ZC sequences. For example, the terminal device can select 64 ZC sequences from the sequence corresponding to the physical sequence number 783. Alternatively, the terminal device can 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, ultimately determining 64 ZC sequences. A ZC sequence is then randomly selected from the 64 ZC sequences and sent to achieve uplink access. Correspondingly, the base station blindly detects the ZC sequence from the 64 ZC sequences and simultaneously determines the round-trip delay and / or Doppler shift.

[0235] Table 1

[0236] In summary, considering that the ZC sequence capacity is positively correlated with the square of the sequence length, the ZC sequence capacity is limited. In particular, when the cell radius of the terminal device is large and / or the terminal device is moving at a high speed, the sequence resource allocation efficiency is low and may not meet the transmission requirements of the terminal device.

[0237] To address the above issues, the present application provides a communication method and apparatus, in which a first apparatus can determine a first physical sequence number based on a first logical sequence number and a first mapping relationship, and further determine a first sequence (i.e., a cubic polynomial exponential sequence) based on the first physical sequence number, and complete uplink random access by sending the first sequence. The cubic polynomial exponential sequence in this implementation has an increased sequence capacity, can support counteracting Doppler frequency shifts of more subcarrier spacings, improve the efficiency of sequence resource allocation, and meet the transmission needs of more terminal devices.

[0238] 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 in which a transmitting device and a receiving device communicate, such as the communication system shown in FIG1 above.

[0239] 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, chip system or circuit in a network device or a terminal device, and this application does not limit this.

[0240] Without loss of generality, in order to facilitate understanding and description of the embodiments of the present application, the uplink communication scenario in the scheduling-free system is used as an example to illustrate the present application solution. For example, the first device can be a terminal device (such as UE 101-106 as shown in Figure 1) or a network device (such as gNB 107 as shown in Figure 1), and 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 does not elaborate on this.

[0241] Figure 3 is a flow chart of a communication method 300 provided in an embodiment of the present application. As shown in Figure 3, the method flow can be executed by the first device and the second device, or by modules and / or devices (for example, 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 (for example, a terminal device) and the second device (for example, a network device) as the execution subjects, including the following steps.

[0242] S310: The first device determines a first physical serial number according to the first logical serial number and the first mapping relationship.

[0243] 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 serial number is used to indicate the position index of the physical serial number, and M is greater than or equal to 1.

[0244] 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.

[0245] Below, the cubic polynomial exponential sequence involved in the embodiments of the present application is first specifically described.

[0246] In one example, a cubic polynomial exponential sequence can be expressed as:

[0247] Wherein, a is the coefficient of the cubic term of the cubic polynomial exponential sequence, b is the coefficient of the quadratic term of the cubic polynomial exponential sequence, c is the coefficient of the linear term 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, and N is a prime number, n∈{0,1,…,N-1}.

[0248] For example, the cubic coefficient a and the quadratic 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

[0249] 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

[0250] It should be noted that for The cubic term coefficient a, quadratic term coefficient b, and linear term coefficient c of the ambiguity function of the cubic polynomial exponential sequence are not all zero at the same time. Where τ is the round-trip delay (or propagation delay), and v is the Doppler shift.

[0251] 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. T is the maximum round trip delay, Δ F is the maximum Doppler shift.

[0252] For example, the maximum round trip delay Δ T and the maximum Doppler frequency shift Δ F The product of (i.e. Δ T ×Δ F ) can be expressed as the maximum zero ambiguity area. T ×Δ F >N, that is, the maximum zero fuzzy region area of ​​the cubic polynomial exponential sequence can be greater than the sequence length, that is, it is not restricted by the sequence length.

[0253] Optionally, the cubic polynomial exponential sequence may include a base sequence and an auxiliary sequence, wherein the base sequence Auxiliary sequence That is, the cubic polynomial exponential sequence in the above formula (7) can be expressed as s a,b,c (n) = u a (n)·v b,c (n). In other words, the cubic polynomial exponential sequence can be expressed as a point-by-point multiplication of the base sequence and the auxiliary sequence. Wherein, the sequence 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)].

[0254] 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 the terminal equipment in the cell. a The maximum value of the fuzzy function of (n) does not exceed The number of base sequence (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.

[0255] 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., a terminal device) and the second device (e.g., a network device). The present application does not limit the specific implementation method.

[0256] 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.

[0257] In the present application, the cubic coefficients of the cubic polynomial exponential sequence corresponding to each physical serial number are 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 can be multiple cubic polynomial exponential sequences with the same cubic coefficients, and the quadratic coefficients and / or linear coefficients can be the same or different.

[0258] It should be understood that the mutual ambiguity function (CAF) refers to a function obtained by performing an ambiguity operation on two signals. The maximum value of the mutual ambiguity function is less than or equal to a first threshold, indicating that the mutual ambiguity function values ​​of any two different cubic polynomial exponential sequences within the range of maximum round-trip delay and maximum Doppler frequency offset are less than or equal to the first threshold. In other words, the interference between any two different cubic polynomial exponential sequences is less than or equal to the first threshold.

[0259] 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. It can be understood that: when M is equal to 1, it means that the maximum value of the mutual ambiguity function of any two cubic polynomial exponential sequences in the multiple cubic polynomial exponential sequences corresponding to one 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 in the cubic polynomial exponential sequences corresponding to two consecutive physical serial numbers is less than or equal to the first threshold value.

[0260] Optionally, the first threshold may be configured or pre-configured. For example, the first threshold δ may satisfy:

[0261]

[0262] Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0263] In this 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 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 this application does not limit this.

[0264] In this application, a logical sequence number is used to indicate the position index of a physical sequence number. This can be understood as follows: logical sequence number #a is the position index of physical sequence number #a among all physical sequence numbers, where logical sequence number #a corresponds to physical sequence number #a. It should be noted that in this application, two or more identical physical sequence numbers may exist. The logical sequence numbers corresponding to these two or more identical physical sequence numbers are different from each other. In other words, each physical sequence number corresponds to a logical sequence number, and the corresponding physical sequence number can be uniquely determined based on the logical sequence number.

[0265] Below, we will illustrate the specific manifestation of the first mapping relationship in the embodiments of the present application, or the grouping and sorting method for a cubic polynomial exponential sequence. It should be understood that based on the first mapping relationship, the correspondence between the physical sequence number and the logical sequence number of the cubic polynomial exponential sequence can be determined, 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 based on method 1.

[0266] Method 1:

[0267] 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.

[0268] Furthermore, 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.

[0269] Similarly, the second cubic metric group includes one or more second small groups. Optionally, the multiple second small groups are determined based on the maximum value of the mutual fuzzy function of multiple cubic polynomial exponential sequences within the second cubic metric group, wherein the multiple second small groups are arranged in ascending order of the cubic metric of the corresponding cubic polynomial exponential sequence, each second small group corresponds to one or more cubic term coefficients, and 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 of the cubic metric of the cubic polynomial exponential sequence, and the one or more cubic term coefficients within the first second small group are arranged in ascending order of the cubic metric of the corresponding cubic polynomial exponential sequence.

[0270] It should be understood that the maximum value of the mutual ambiguity 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.

[0271] Optionally, the first cubic metric can be configured or pre-configured, for example, the value of the first cubic metric can be determined according to the above formula (1). In an embodiment of the present application, the first cubic metric group can be referred to as a low cubic metric group, and the second cubic metric group can 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.

[0272] Optionally, the first group can be referred to as a first set, i.e., representing one or more first sets to which all cubic polynomial exponential sequences within the first cubic metric group are partitioned. Similarly, the second group can be referred to as a second set, i.e., representing one or more second sets to which all cubic polynomial exponential sequences within the second cubic metric group are partitioned. For ease of description, this application uses the first and second groups as examples.

[0273] FIG4 is a schematic diagram of the division of a cubic polynomial exponential sequence provided by an embodiment of the present application. As shown in FIG4 , 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, 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 mean; 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.

[0274] For example, 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.

[0275] Based on this implementation method, a general division method for cubic polynomial exponential sequences 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.

[0276] Method 2:

[0277] For example, 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 of 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

[0278] 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 of the cubic metric of the cubic polynomial exponential sequences within 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

[0279] FIG5 is a schematic diagram of dividing a cubic polynomial exponential sequence provided in an embodiment of the present application.

[0280] For example, assuming that there are multiple cubic polynomial exponential sequences, the first cubic metric (e.g., CM=1.2dB) is used as the boundary, and the multiple cubic polynomial exponential sequences belong to the low cubic metric group and the high cubic metric group respectively. L The first group, Ω L The first group corresponds one to one with Ω L The cubic coefficients, that is, The cubic metric means of the corresponding cubic polynomial exponential sequences are arranged in ascending order, that is, 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 Ω L is an integer.

[0281] Similarly, the high-cubic metric group includes Ω H The second group, Ω H The second group corresponds one to one with Ω H The cubic coefficients, that is, The cubic metric means of the corresponding cubic polynomial exponential sequences are arranged in ascending order, that is, The maximum value of the mutual ambiguity 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.

[0282] 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.

[0283] Table 2

[0284] In the embodiment of the present application, Ω L ,Ω H Wherein, the value corresponding to each logical sequence number in 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 is an integer greater than 1, and other group numbers are similar. It should be understood that the values ​​of the above logical serial number are 0, 1, 2..., and optionally, 1, 2, 3..., and similarly, the values ​​of the above group number are 1, 2..., and optionally, 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 based on the logical serial number.

[0285] 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 serial number can be cancelled in Table 2, and the present application does not limit this.

[0286] Table 2 shows 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. In other words, 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.

[0287] Based on this implementation, all cubic polynomial exponential sequences in each first group or each second group correspond to the same cubic term coefficient, so the implementation is simple and the configuration efficiency is high.

[0288] Method 3:

[0289] 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

[0290] 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 ambiguity 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 ambiguity function of the cubic polynomial exponential sequence between two adjacent second groups is less than or equal to

[0291] FIG6 is a schematic diagram of dividing a cubic polynomial exponential sequence provided in an embodiment of the present application.

[0292] For example, 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, i.e. Each first group corresponds to Θ cubic coefficients, that is, the low cubic metric group includes The cubic coefficients are as follows: ,…,

[0293] 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 first group 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 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.

[0294] Similarly, the high cubic metric group includes Q second groups, namely Each second group corresponds to Φ cubic coefficients, that is, the high cubic metric group includes The cubic coefficients are as follows: ,…,

[0295] Among them, 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.

[0296] Based on the above-mentioned 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 ambiguity function of the cubic polynomial exponential sequence in the first group or the second group is less than or equal to δ 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.

[0297] Table 3

[0298] 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 group are 1, 2..., optionally, they can also be 0, 1, 2..., 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 based on the logical serial number.

[0299] 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 serial number can be cancelled in Table 3, and the present application does not limit this.

[0300] Table 3 shows 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 exponential sequences. At least one of the quadratic coefficients, linear coefficients, and constant coefficients of the multiple cubic polynomial exponential sequences is different. The logical sequence numbers are 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.

[0301] Based on this implementation, each first group or each second group includes one or more cubic polynomial exponential sequences corresponding to cubic coefficients. These cubic polynomial exponential sequences have a small mutual ambiguity function and small cubic metric fluctuation, effectively improving 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 coefficients, where x is less than or equal to y, and x and y are positive integers.

[0302] Method 4:

[0303] 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 ambiguity function of the cubic polynomial exponential sequence in the first subgroup is less than or equal to

[0304] 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

[0305] FIG7 is a schematic diagram of dividing a cubic polynomial exponential sequence provided in an embodiment of the present application.

[0306] For example, assuming that there are multiple cubic polynomial exponential sequences, the first cubic metric (e.g., CM=1.2dB) is used as the boundary, and the multiple cubic polynomial exponential sequences belong to the low cubic metric group and the high cubic metric group respectively. The low cubic metric group includes a first subgroup, and the first subgroup corresponds to Ω L The cubic coefficients, that is, The cubic metric means of the corresponding cubic polynomial exponential sequences 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 Lis an integer greater than 1.

[0307] Similarly, the high cubic metric group includes a second group corresponding to Ω H The cubic coefficients, that is, The cubic metric means of the corresponding cubic polynomial exponential sequences are arranged in ascending order, that is, 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.

[0308] Based on the above fourth approach, the first mapping relationship in this 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 these 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 is as follows: 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 is determined, that is, the first sequence in step S320.

[0309] Table 4

[0310] In the embodiment of the present application, Ω L ,Ω H Wherein, the value corresponding to each logical sequence number in 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 is an integer greater than 1, and other group sequence numbers are similar. It should be understood that the values ​​of the above logical sequence number are 0, 1, 2..., and optionally, 1, 2, 3..., and similarly, the values ​​of the above group sequence number are 1, 2..., and optionally, 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 sequence number based on the logical sequence number.

[0311] 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 serial number can be cancelled in Table 4, and the present application does not limit this.

[0312] Table 4 shows that within a high-cubic metric group or a low-cubic metric group, there exists a first subgroup or a second subgroup. That is, all cubic polynomial exponential sequences within the high-cubic metric group belong to a second group, and all cubic polynomial exponential sequences within the low-cubic metric group belong to a first group. This first subgroup or this second subgroup corresponds to multiple cubic coefficients, each of which corresponds to one or more cubic polynomial exponential sequences. At least one of the quadratic coefficients, linear coefficients, and constant coefficients within these multiple cubic polynomial exponential sequences is different. The logical sequence numbers are 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 In other words, 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.

[0313] 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 configuration efficiency is high.

[0314] In a possible implementation, before executing step S310, the method 300 further includes step S301.

[0315] S301: A first device may obtain a first logical serial number.

[0316] 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, where the indication information indicates 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 receive the first logical sequence number from the second device via specific signaling (e.g., RRC, DCI, or SIB).

[0317] Exemplarily, the first logical sequence number may be predefined or preconfigured. "Predefined" may include predefined, such as a protocol definition. "Preconfigured" may be implemented by pre-storing a corresponding code, table, or other method for indicating relevant information in the first device. This application does not limit the specific implementation method.

[0318] 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. This application does not limit this.

[0319] For example, taking Table 2 above 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 serial 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, for example:

[0320] Assume that the first device starts with the 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.

[0321] S320: The first device sends a first sequence.

[0322] The first sequence is determined according to the first physical serial number. It should be understood that the first sequence is a cubic polynomial exponential sequence.

[0323] In this application, the first sequence is determined based on the first physical sequence number. This can be understood as follows: the first device sequentially determines 64 cubic polynomial exponential sequences based on the first physical sequence number and randomly selects one of these cubic polynomial exponential sequences for access. This randomly selected cubic polynomial exponential sequence is the first sequence. Furthermore, the first device transmits the first sequence to the second device. In response, the second device performs blind detection on the 64 cubic polynomial exponential sequences and determines the first sequence, while also determining the round-trip delay and / or Doppler shift.

[0324] 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.

[0325] 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 a terminal device, or both be included in a network device. In this case, the sending of the first sequence by the first device to the second device is 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 this case, the sending of the first sequence by the first device to the second device is an external operation.

[0326] 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 based on 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 explained here.

[0327] The following describes in detail the implementation of the first device sending the first sequence to the second device in step S320.

[0328] 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. In this case, the discrete time signal of the first sequence (i.e., the cubic polynomial exponential sequence) can be expressed as:

[0329] 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 sequence length, 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.

[0330] It should be understood that the parameter λ in formula (8) is a parameter associated with the cell. For example, the same λ value corresponds to the same cell, while different cells correspond to different λ values; or, the same cell corresponds to multiple λ values, while different cells correspond to different λ values. Parameters k and l are parameters associated with the terminal device in the cell. Parameters k and / or l can be different for different terminal devices in the same cell.

[0331] 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 represents the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, T s Indicates the symbol time interval.

[0332] Exemplarily, the cubic polynomial exponential sequence of time domain resource mapping can be expressed as:

[0333] Correspondingly, the mutual ambiguity function of the cubic polynomial exponential sequence shown in formula (9) and formula (10) can be expressed as:

[0334] Where τ represents the round-trip delay, and the value range of τ is 0≤τ≤Δ T -1, v represents Doppler 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, Δ T Indicates the maximum round-trip delay, and ∨ indicates "logical OR".

[0335] From the above formula (11) and the exponential sum theorem mentioned above, it can be seen 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

[0336] 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 a constant modulus sequence can be understood as a phase-coded sequence with a constant amplitude. A constant modulus sequence can also be called a constant amplitude sequence or a constant envelope sequence.

[0337] In the second example, the first device may map the first sequence to frequency domain resources and send the first sequence to the second device. In this case, the discrete time signal of the first sequence (i.e., the cubic polynomial exponential sequence) can be expressed as:

[0338] Compared with the above formula (7), a=λ,b=3λkΔ F , c=lΔ T , d=0, N is s a,b,c,d (n) is the sequence length, where N is a prime number. Δ T represents the maximum round trip delay, Δ F Indicates the maximum Doppler shift.

[0339] It should be understood that the parameter λ in formula (12) is a parameter associated with the cell. For example, the same λ value corresponds to the same cell, while different cells correspond to different λ values; or, the same cell corresponds to multiple λ values, while different cells correspond to different λ values. Parameters k and l are parameters associated with the terminal device in the cell. Parameters k and / or l can be different for different terminal devices in the same cell.

[0340] 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 represents the speed of light, f c represents the carrier frequency, Δf represents the subcarrier spacing, T s Indicates the symbol time interval.

[0341] Exemplarily, the cubic polynomial exponential sequence of frequency domain resource mapping can be expressed as:

[0342] Correspondingly, the fuzzy function of the cubic polynomial exponential sequence shown in formula (13) and formula (14) can be expressed as:

[0343] Where τ represents the round-trip delay, and the value range of τ is 0≤τ≤Δ T -1, v represents Doppler shift, and the value range of v is 0≤v≤Δ F -1, λ1∈{1,2,…,N-1}, λ2∈{1,2,…,N-1}, Δ T represents the maximum round trip delay, Δ F Indicates the maximum Doppler frequency shift, and ∨ indicates "logical OR".

[0344] From the above formula (15) and the exponential sum theorem mentioned above, it can be seen 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

[0345] In particular, when λ1=λ2, k1=k2, l1≠l2, τ≠0, v=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 Venerzin-Chin theorem, the frequency domain resource mapping of a constant modulus sequence has an ideal time domain autocorrelation characteristic. Therefore, mapping a cubic polynomial exponential sequence to frequency domain resources can form a zero correlation zone.

[0346] Compared with existing communication sequences (such as ZC sequences), the cubic polynomial exponential sequence has a larger sequence capacity and can resist Doppler frequency deviation 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.

[0347] According to the solution 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 exponential sequence based on the first mapping relationship, and can also uniquely determine the corresponding first physical sequence number based on the first logical sequence number, and then determine multiple cubic polynomial exponential sequences based on the first physical sequence number, wherein the first sequence (i.e., the cubic polynomial exponential sequence) is an exponential sequence randomly determined from the multiple cubic polynomial exponential 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 exponential sequence is increased, and it 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.

[0348] 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 based on 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 based on 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 based on the first physical serial number, and performs blind detection 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 this application does not limit this.

[0349] Figure 8 is a flow chart of a communication method 800 provided in an embodiment of the present application. As shown in Figure 8, the method flow can be executed by a third device, or by a module and / or device (e.g., a chip or integrated circuit, etc.) with corresponding functions installed in the third device, which is not limited in this application. The following description uses the third device as the execution subject, including the following steps.

[0350] 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.

[0351] 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.

[0352] Optionally, the first cubic metric can be configured or pre-configured, for example, the value of the first cubic metric can be determined according to the above formula (1). In an embodiment of the present application, the first cubic metric group can be referred to as a low cubic metric group, and the second cubic metric group can 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.

[0353] In the present application, the third device may be a network device or a terminal device, or a chip, chip system or circuit in the network device or terminal device, and the present application does not limit this.

[0354] 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.

[0355] 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.

[0356] 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.

[0357] Optionally, the first threshold may be configured or pre-configured. For example, the first threshold δ may satisfy:

[0358] Wherein, N is the sequence length of the cubic polynomial exponential sequence, and N is a prime number.

[0359] Optionally, the first group can be referred to as a first set, i.e., representing one or more first sets to which all cubic polynomial exponential sequences within the first cubic metric group are partitioned. Similarly, the second group can be referred to as a second set, i.e., representing one or more second sets to which all cubic polynomial exponential sequences within the second cubic metric group are partitioned. For ease of description, this application uses the first and second groups as examples.

[0360] 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 metric 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 metric of the cubic polynomial exponential sequence.

[0361] Exemplarily, each cubic term coefficient corresponds to one or more cubic polynomial exponential sequences, or in other words, there are one or more cubic polynomial exponential sequences with the same cubic term coefficient. Accordingly, the cubic metric mean of the cubic polynomial exponential sequence corresponding to each cubic term coefficient is calculated, and the multiple cubic term coefficients in 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, 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.

[0362] The following three examples are provided to specifically illustrate the grouping and sorting method of steps S810 to S830 .

[0363] 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.

[0364] 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.

[0365] 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 ambiguity 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

[0366] Based on the above-mentioned grouping method of the 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 the terminal device can be achieved.

[0367] 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 this application. Specific implementations of the above examples may refer to the description of step S310 of the above method 300, which will not be repeated here.

[0368] According to the solution provided by this 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 to existing communication sequences, this cubic polynomial exponential sequence has an increased sequence capacity, can support the Doppler shift of more subcarrier spacing, and improve the efficiency of sequence resource allocation to meet the transmission needs of more terminal devices.

[0369] The above description, in conjunction with Figures 3 to 8, details the communication method embodiment of the present application. The following description, in conjunction with Figures 9 and 10, details the communication device embodiment of the present application. It should be understood that the description of the device embodiment corresponds to the description of the method embodiment. Therefore, for portions not described in detail, reference can be made to the preceding method embodiment.

[0370] Figure 9 is a schematic block diagram of a communication device 900 provided in an embodiment of the present application. As shown in Figure 9, the communication device 900 includes a processing module 901 and a communication module 902. The communication device 900 can be a first device, or a communication device applied to or used in conjunction 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 can be a second device, or a communication device applied to or used in conjunction 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.

[0371] The communication module may also be referred to as a transceiver module, transceiver, transceiver, transceiver unit, or transceiver device. The processing module may also be referred to as a processor, processing board, processing unit, or processing device. Optionally, the communication module is used to perform the sending and receiving operations of the first and second devices in the above method. The device used to implement the receiving function in the communication module can be considered a receiving unit, and the device used to implement the sending function in the communication module can be considered a sending unit. That is, the communication module includes a receiving unit and a sending unit.

[0372] In one 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.

[0373] 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.

[0374] 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 and 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.).

[0375] The division of modules in this application is illustrative and represents only a logical functional division. In actual implementation, other divisions may be used. Furthermore, the functional modules in the examples of this application may be integrated into a single processor, exist physically as separate modules, or two or more modules may be integrated into a single module. The integrated modules may be implemented in either hardware or software functional modules.

[0376] Figure 10 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.

[0377] As shown in Figure 10, 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.

[0378] The communication device 1000 may further include a communication interface 1030, through which the communication device 1000 can exchange information with other devices. Exemplarily, the communication interface 1030 may be a transceiver, a circuit, a bus, a module, a pin, or another type of communication interface. 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 that can input information (or receive information) and output information (or send information). The processor 1010 is an integrated processor, microprocessor, integrated circuit, or logic circuit, and the processor can determine output information based on input information.

[0379] 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.

[0380] 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.

[0381] 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.

[0382] Coupling in this application refers to 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. Processor 1010 may operate in conjunction with memory 1020 and communication interface 1030. This application does not limit the specific connection medium between the processor 1010, memory 1020, and communication interface 1030.

[0383] Optionally, as shown in FIG10 , the processor 1010, the memory 1020, and the communication interface 1030 are interconnected via a bus 1040. Optionally, the bus may include an address bus, a data bus, a control bus, and other types of buses. Furthermore, for ease of illustration, FIG10 shows one bus 1040, but this does not mean that there is only one bus or only one type of bus.

[0384] It should be understood that the processors mentioned in the embodiments of the present application may be the following devices or the circuit portions of the following devices used for processing functions: a 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 may be a microprocessor or any conventional processor.

[0385] 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).

[0386] 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.

[0387] 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.

[0388] 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 the first device, the second device, or the third device) in the above-mentioned method embodiments.

[0389] An embodiment of the present application also provides a computer program product comprising instructions, which, when executed by a computer, implement the methods performed by a terminal device (such as the first device, or the second device, or the third device) in the above-mentioned method embodiments.

[0390] An embodiment of the present application further provides a communication system, which includes the first device, the second device, or the third device in the above embodiment.

[0391] 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.

[0392] To facilitate understanding of the embodiments of the present application, the following points are explained:

[0393] 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 by each other. The technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationships.

[0394] 2) In this application, "at least one" means one or more, and "more" 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 previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items 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.

[0395] 3) Throughout this application, the terms "first," "second," and various numerical references are used for descriptive purposes only and are not intended to limit the scope of the embodiments of this application. For example, they are used to distinguish between different messages, rather than to describe a specific order or precedence. It should be understood that such references are interchangeable, where appropriate, to allow for the description of scenarios beyond the embodiments of this application.

[0396] 4) In this application, the terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus that includes 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 such process, method, product or apparatus.

[0397] 5) In this application, "used to indicate" can include being used for direct indication and being used for indirect indication. When describing that a certain indication information is used to indicate A, it can include that the indication information directly indicates A or indirectly indicates A, and it does not mean that the indication information must carry A.

[0398] 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.

[0399] 7) In this application, "communication" may also be described as "data transmission", "information transmission", "data processing", etc. "Transmission" includes "sending" and "receiving".

[0400] 8) In this 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 this application does not limit this.

[0401] Those skilled 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 beyond the scope of this application.

[0402] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems, devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0403] In the several embodiments provided in this 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 merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, 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.

[0404] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0405] 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.

[0406] 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, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk, or an optical disk.

[0407] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection 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 coefficients in the first and second groups are arranged in ascending order according to the cubic metric of the corresponding cubic polynomial exponential sequence. List.

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.

31. A computer program product, characterized in that include: When the computer program product is executed on a computer, it causes the computer to perform the method according to any one of claims 1 to 27.

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