Communication method and apparatus

Abstract

A communication method and an apparatus. The method comprises: a first apparatus generates a cubic polynomial exponential sequence, wherein the cubic term coefficient of the cubic polynomial exponential sequence is associated with the quadratic term coefficient of the cubic polynomial exponential sequence; and the first apparatus outputs the cubic polynomial exponential sequence. Compared with existing communication sequences, the sequence capacity of the cubic polynomial exponential sequence is positively correlated with the cube of the sequence length, countering the Doppler frequency offset across a wider range of subcarrier spacings is supported, and the product of the maximum round-trip delay and the maximum Doppler frequency offset is not constrained by the sequence length.

Description

Communication method and device Technical Field

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

[0002] In communication systems, commonly used communication sequences include Alltop sequence, Zadoff-Chu sequence (abbreviated as ZC sequence), and Zadoff-Chu Cover Alltop sequence. However, these communication sequences all have some disadvantages.

[0003] The Alltop sequence has multiple peaks in its ambiguity function on the delay-Doppler plane, resulting in ambiguity. The ZC sequence has limited sequence capacity. The Zadoff-Chu Cover Alltop sequence is incapable of combating Doppler frequency offset.

[0004] Therefore, how to improve the communication sequence is an urgent problem to be solved.

[0005] Summary of the Invention

[0006] The present application proposes a communication method and apparatus for improving the existing communication sequence.

[0007] In a first aspect, a communication method is provided, comprising:

[0008] The first device generates a cubic polynomial exponential sequence, wherein coefficients of cubic terms of the cubic polynomial exponential sequence are associated with coefficients of quadratic terms of the cubic polynomial exponential sequence; and the first device outputs the cubic polynomial exponential sequence.

[0009] An embodiment of the present application provides a communication sequence, which is a cubic polynomial exponential sequence, and the cubic term coefficients and quadratic term coefficients of the cubic polynomial exponential sequence are associated.

[0010] Compared with existing communication sequences, the sequence capacity of this cubic polynomial exponential sequence is positively correlated with the cube of the sequence length, supports combating Doppler frequency offsets with more subcarrier spacings, and the product of the maximum round-trip delay and the maximum Doppler frequency offset is not constrained by the sequence length.

[0011] In combination with the first aspect, in certain implementations of the first aspect, the cubic polynomial exponential sequence 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, N is a prime number, n∈{0,1,…,N-1}.

[0012] In combination with the first aspect, in certain implementations of the first aspect, the cubic polynomial exponential sequence includes a base sequence and an auxiliary sequence, wherein the base sequence The auxiliary sequence

[0013] In conjunction with the first aspect, in certain implementations of the first aspect, the maximum value of the fuzzy function of the base sequence does not exceed The number of base sequences is positively correlated with the sequence length; the maximum value of the fuzzy function of the auxiliary sequence is The number of auxiliary sequences is positively correlated with the square of the sequence length.

[0014] In conjunction with the first aspect, in some implementations of the first 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, 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 frequency deviation.

[0015] In conjunction with the first aspect, 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, including:

[0016] If the cubic coefficient of the cubic polynomial exponential sequence a∈{1,2,…,N-1}, then the quadratic coefficient of the cubic polynomial exponential sequence b=3akΔ T , the coefficient of the first term of the cubic polynomial exponential sequence c=lΔ F ;in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler frequency deviation.

[0017] In combination with the first aspect, in certain implementations of the first aspect, the sequence capacity of the cubic polynomial exponential sequence is

[0018] In combination with the first aspect, in certain implementations of the first aspect, the cubic polynomial exponential sequence is mapped using time domain resources, and the discrete-time signal of the cubic polynomial exponential sequence is:

[0019] 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 According to the embodiment of the present application, the cubic polynomial exponential sequence is mapped to time domain resources to reduce the peak-to-average power ratio.

[0020] In combination with the first aspect, in some implementations of the first aspect, the frequency domain resource is used to map the cubic polynomial exponential sequence, and the discrete time signal of the cubic polynomial exponential sequence is

[0021] 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 Indicates the maximum Doppler frequency deviation.

[0022] According to an embodiment of the present application, the cubic polynomial exponential sequence is mapped to frequency domain resources to obtain ideal autocorrelation characteristics.

[0023] In combination with the first aspect, in some implementations of the first aspect, the same cell corresponds to the same λ value, and different cells correspond to different λ values; or, the same cell corresponds to multiple λ values, and different cells correspond to different λ values.

[0024] In combination with the first aspect, in certain implementations of the first aspect, the first device outputting the cubic polynomial exponential sequence includes:

[0025] The first device generates a sequence set, which corresponds to the same λ value, different k values, and different l values; the first device selects the cubic polynomial exponential sequence from the sequence set; and the first device outputs the cubic polynomial exponential sequence.

[0026] In combination with the first aspect, in certain implementations of the first aspect, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in the sequence set is The number of sequences in the sequence set is

[0027] Among them, Δ T is the maximum round trip delay, Δ F is the maximum Doppler frequency deviation.

[0028] In combination with the first aspect, in certain implementations of the first aspect, the radius of the cell where the first 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.

[0029] In combination with the first aspect, in certain implementations of the first aspect, the moving speed range of the first 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 frequency deviation.

[0030] In a second aspect, a communication method is provided, comprising:

[0031] The second device generates a plurality of cubic polynomial exponential sequences, wherein the plurality of cubic polynomial exponential sequences constitute a sequence set, wherein coefficients of cubic terms of the cubic polynomial exponential sequences are associated with coefficients of quadratic terms of the cubic polynomial exponential sequences; the second device receives a first sequence from the first device; the second device determines the first sequence from the sequence set, and determines a round-trip delay and / or a Doppler frequency shift, wherein the first sequence is a sequence in the sequence set.

[0032] It can be understood that the first sequence is a cubic polynomial exponential sequence generated by the first device, and the cubic term coefficients of the first sequence are associated with the quadratic term coefficients. For details, please refer to the description of the first aspect.

[0033] In conjunction with the second aspect, in certain implementations of the second aspect, the cubic polynomial exponential sequence 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, N is a prime number, n∈{0,1,…,N-1}.

[0034] In conjunction with the second aspect, in certain implementations of the second aspect, the cubic polynomial exponential sequence includes a base sequence and an auxiliary sequence, wherein the base sequence The auxiliary sequence

[0035] In conjunction with the second aspect, in certain implementations of the second aspect, the maximum value of the fuzzy function of the base sequence does not exceed The number of base sequences is positively correlated with the sequence length; the maximum value of the fuzzy function of the auxiliary sequence is The number of auxiliary sequences is positively correlated with the square of the sequence length.

[0036] In conjunction with the second aspect, in some implementations of the second 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, 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 frequency deviation.

[0037] In conjunction with the second aspect, 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, including:

[0038] If the cubic coefficient of the cubic polynomial exponential sequence a∈{1,2,…,N-1}, then the quadratic coefficient of the cubic polynomial exponential sequence b=3akΔ T , the coefficient of the first term of the cubic polynomial exponential sequence c=lΔ F ;in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler frequency deviation.

[0039] In conjunction with the second aspect, in certain implementations of the second aspect, the sequence capacity of the cubic polynomial exponential sequence is

[0040] In combination with the second aspect, in certain implementations of the second aspect, the cubic polynomial exponential sequence is mapped using time domain resources, and the discrete-time signal of the cubic polynomial exponential sequence is:

[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 Indicates the maximum Doppler frequency deviation.

[0042] According to an embodiment of the present application, in some cases, the second device may also output the cubic polynomial exponential sequence, and the cubic polynomial exponential sequence is mapped to time domain resources to reduce the peak-to-average power ratio.

[0043] In combination with the second aspect, in certain implementations of the second aspect, the cubic polynomial exponential sequence is mapped using frequency domain resources, and the discrete-time signal of the cubic polynomial exponential sequence is:

[0044] 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 Indicates the maximum Doppler frequency deviation.

[0045] According to an embodiment of the present application, in some cases, the second device may also output the cubic polynomial exponential sequence, and the cubic polynomial exponential sequence is mapped to frequency domain resources to obtain ideal autocorrelation characteristics.

[0046] In combination with the second aspect, in some implementations of the second aspect, the same cell corresponds to the same λ value, and different cells correspond to different λ values; or, the same cell corresponds to multiple λ values, and different cells correspond to different λ values.

[0047] In conjunction with the second aspect, in certain implementations of the second aspect, the maximum value of the fuzzy function of any two different cubic polynomial exponential sequences in the sequence set is The number of sequences in the sequence set is

[0048] In conjunction with the second aspect, in certain implementations of the second aspect, the radius of the cell where the first 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.

[0049] In conjunction with the second aspect, in certain implementations of the second aspect, the moving speed range of the first device is -c(Δ F -1)Δf / 4fc 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 frequency deviation.

[0050] In a third aspect, a communication device is provided, which may be a first device, or a module or unit (for example, 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 conjunction with the first device.

[0051] In a possible implementation, the communication device includes: a transceiver unit and a processing unit connected to the transceiver unit.

[0052] The processing unit is used to generate a cubic polynomial exponential sequence, wherein the cubic term coefficients of the cubic polynomial exponential sequence are associated with the quadratic term coefficients of the cubic polynomial exponential sequence. The transceiver unit is used to output the cubic polynomial exponential sequence.

[0053] In conjunction with the third aspect, in certain implementations of the third aspect, the cubic polynomial exponential sequence 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, N is a prime number, n∈{0,1,…,N-1}.

[0054] In conjunction with the third aspect, in certain implementations of the third aspect, the cubic polynomial exponential sequence includes a base sequence and an auxiliary sequence, wherein the base sequence The auxiliary sequence

[0055] In conjunction with the third aspect, in certain implementations of the third aspect, the maximum value of the fuzzy function of the base sequence does not exceed The number of base sequences is positively correlated with the sequence length; the maximum value of the fuzzy function of the auxiliary sequence is The number of auxiliary sequences is positively correlated with the square of the sequence length.

[0056] In conjunction with the third aspect, 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, 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 frequency deviation.

[0057] In conjunction with the third aspect, 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, including:

[0058] If the cubic coefficient of the cubic polynomial exponential sequence a∈{1,2,…,N-1}, then the quadratic coefficient of the cubic polynomial exponential sequence b=3akΔ T , the coefficient of the first term of the cubic polynomial exponential sequence c=lΔ F ;in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler frequency deviation.

[0059] In conjunction with the third aspect, in certain implementations of the third aspect, the sequence capacity of the cubic polynomial exponential sequence is

[0060] In combination with the third aspect, in certain implementations of the third aspect, the transceiver unit is configured to map the cubic polynomial exponential sequence using time domain resources, where the discrete-time signal of the cubic polynomial exponential sequence is:

[0061] 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 Indicates the maximum Doppler frequency deviation.

[0062] In combination with the third aspect, in certain implementations of the third aspect, the transceiver unit is configured to map the cubic polynomial exponential sequence using frequency domain resources, where the discrete-time signal of the cubic polynomial exponential sequence is:

[0063] 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 Indicates the maximum Doppler frequency deviation.

[0064] In combination with the third aspect, in some implementations of the third aspect, the same cell corresponds to the same λ value, and different cells correspond to different λ values; or, the same cell corresponds to multiple λ values, and different cells correspond to different λ values.

[0065] In combination with the third aspect, in certain implementations of the third aspect, the processing unit is used to generate a sequence set, where the sequence set corresponds to the same λ value, different k values, and different l values; and the processing unit is used to select the cubic polynomial exponential sequence from the sequence set.

[0066] In conjunction with the third aspect, in certain implementations of the third aspect, the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in the sequence set is The number of sequences in the sequence set is

[0067] Among them, Δ T is the maximum round trip delay, Δ F is the maximum Doppler frequency deviation.

[0068] In conjunction with the third aspect, in certain implementations of the third aspect, the radius of the cell where the first 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.

[0069] In conjunction with the third aspect, in certain implementations of the third aspect, the moving speed range of the first 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 frequency deviation.

[0070] In a fourth aspect, a communication device is provided, which may be a second device, or a module or unit (for example, a chip, or a chip system, or a circuit) in the second device that corresponds one-to-one to the method, operation, step, or action described in the second aspect, or a device that can be used in combination with the second device.

[0071] In a possible implementation, the communication device includes: a transceiver unit and a processing unit connected to the transceiver unit.

[0072] The processing unit is configured to generate a plurality of cubic polynomial exponential sequences, wherein the plurality of cubic polynomial exponential sequences constitute a sequence set, wherein coefficients of cubic terms of the cubic polynomial exponential sequences are associated with coefficients of quadratic terms of the cubic polynomial exponential sequences; the transceiver unit is configured to receive a first sequence from a first device; and the processing unit is configured to determine the first sequence from the sequence set and determine a round-trip delay and / or a Doppler frequency shift, wherein the first sequence is a sequence in the sequence set.

[0073] It can be understood that the first sequence is a cubic polynomial exponential sequence generated by the first device, and the cubic term coefficients of the first sequence are associated with the quadratic term coefficients. For details, please refer to the description of the first aspect.

[0074] In conjunction with the fourth aspect, in certain implementations of the fourth aspect, the cubic polynomial exponential sequence 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, N is a prime number, n∈{0,1,…,N-1}.

[0075] In conjunction with the fourth aspect, in certain implementations of the fourth aspect, the cubic polynomial exponential sequence includes a base sequence and an auxiliary sequence, wherein the base sequence The auxiliary sequence

[0076] In conjunction with the fourth aspect, in certain implementations of the fourth aspect, the maximum value of the fuzzy function of the base sequence does not exceed The number of base sequences is positively correlated with the sequence length; the maximum value of the fuzzy function of the auxiliary sequence is The number of auxiliary sequences is positively correlated with the square of the sequence length.

[0077] In conjunction 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, 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 frequency deviation.

[0078] In conjunction with the fourth aspect, in certain 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, including:

[0079] If the cubic coefficient of the cubic polynomial exponential sequence a∈{1,2,…,N-1}, then the quadratic coefficient of the cubic polynomial exponential sequence b=3akΔ T , the coefficient of the first term of the cubic polynomial exponential sequence c=lΔ F ;in, Δ T is the maximum round trip delay, Δ F is the maximum Doppler frequency deviation.

[0080] In conjunction with the fourth aspect, in certain implementations of the fourth aspect, the sequence capacity of the cubic polynomial exponential sequence is

[0081] In combination with the fourth aspect, in certain implementations of the fourth aspect, the transceiver unit is configured to map the cubic polynomial exponential sequence using time domain resources, where the discrete-time signal of the cubic polynomial exponential sequence is:

[0082] 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 According to the embodiment of the present application, the cubic polynomial exponential sequence is mapped to time domain resources to reduce the peak-to-average power ratio.

[0083] In combination with the fourth aspect, in certain implementations of the fourth aspect, the transceiver unit is configured to map the cubic polynomial exponential sequence using frequency domain resources, where the discrete-time signal of the cubic polynomial exponential sequence is:

[0084] 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 Indicates the maximum Doppler frequency deviation.

[0085] According to an embodiment of the present application, the cubic polynomial exponential sequence is mapped to frequency domain resources to obtain ideal autocorrelation characteristics.

[0086] In combination with the fourth aspect, in some implementations of the fourth aspect, the same cell corresponds to the same λ value, and different cells correspond to different λ values; or, the same cell corresponds to multiple λ values, and different cells correspond to different λ values.

[0087] In conjunction with the fourth aspect, in certain implementations of the fourth aspect, the maximum value of the fuzzy function of any two different cubic polynomial exponential sequences in the sequence set is The number of sequences in the sequence set is

[0088] In conjunction with the fourth aspect, in certain implementations of the fourth aspect, the radius of the cell where the first 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.

[0089] In conjunction with the fourth aspect, in certain implementations of the fourth aspect, the moving speed range of the first 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 frequency deviation.

[0090] In a fifth aspect, a communication device is provided, comprising a communication interface and a processor, wherein the communication interface is used to output and / or input signals, and the processor is used to execute a computer program or instruction stored in a memory, so that the communication device executes the method in the first aspect or the second aspect.

[0091] 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.

[0092] Optionally, the memory may also be outside the communication device and coupled to the processor.

[0093] In a sixth aspect, a computer-readable storage medium is provided, comprising a computer program, which, when run on a computer, enables the computer to execute the method in any possible implementation of the first aspect or the second aspect.

[0094] In a seventh aspect, a chip or a chip system is provided, the chip or chip system including a processing circuit and an input / output interface, the processing circuit being used to execute the method in any possible implementation of the first aspect or the second aspect.

[0095] In an eighth aspect, a computer program product is provided, which includes: a computer program (also referred to as code, or instructions), which, when executed, enables a computer to execute a method in any possible implementation of the first aspect or the second aspect.

[0096] In a ninth aspect, a communication system is provided, comprising a first device and a second device. The first device is configured to execute the method in any possible implementation of the first aspect; the second device is configured to execute the method in any possible implementation of the second aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0097] FIG1 shows a communication system to which the present application is applicable;

[0098] FIG2 shows the method proposed in this application;

[0099] FIG3 shows the self-ambiguity functions of ZC-type sequences and Alltop-type sequences;

[0100] FIG4 shows the mutual ambiguity functions of ZC-type sequences and Alltop-type sequences;

[0101] FIG5 shows the multiplexed ambiguity function of a ZC-type sequence and a cubic polynomial exponential sequence;

[0102] FIG6 shows the method proposed in this application;

[0103] FIG7 is a schematic block diagram of a communication device provided by the present application;

[0104] FIG8 is a schematic block diagram of a communication device provided in this application. DETAILED DESCRIPTION

[0105] FIG1 shows a communication system 100 to which the present application is applicable. The communication system 100 includes a terminal device and a network device.

[0106] To facilitate understanding, the terms in this application are first explained.

[0107] (1) Terminal equipment

[0108] In this application, terminal devices can be various types of devices that provide voice and / or data connectivity to users, and can also be referred to as terminals, user equipment (UE), mobile stations, mobile terminals, etc. Terminals can be widely used in various scenarios, such as device-to-device (D2D), vehicle-to-everything (V2X) communication, machine-type communication (MTC), Internet of Things (IOT), virtual reality, augmented reality, industrial control, autonomous driving, telemedicine, smart grid, smart furniture, smart office, smart wearable, smart transportation, smart city, etc. The terminal can be a mobile phone, tablet computer, computer with wireless transceiver function, wearable device, aerospace equipment, etc. In the embodiments of this application, the chip used in the above-mentioned devices can also be referred to as a terminal.

[0109] (2) Network equipment

[0110] The network device in the embodiment of the present application can be an access network device such as a base station. The base station can be a base transceiver station (BTS) in a global system of mobile communication (GSM) system or code division multiple access (CDMA), or a base station in a wideband code division multiple access (WCDMA) system. It can also be an evolutionary base station (eNB or eNodeB) in a long term evolution (LTE) system, a next generation base station (gNB) in a fifth generation (5G) mobile communication system, a next generation base station in a sixth generation (6G) mobile communication system, a base station in a future mobile communication system, etc. The embodiments of the present application do not limit the specific technology and specific device form adopted by the network node. For example, the network node can also be a module or unit that completes part of the functions of the base station, for example, a centralized unit (CU) or a distributed unit (DU). Among them, the CU and DU respectively complete part of the protocol stack functions of the base station. In addition, the functions of the CU can be implemented by multiple entities. For example, the functions of the CU control plane (CP) and user plane (UP) can be separated to form the CU control plane (CU-CP) and CU user plane (CU-UP). For example, the CU-CP and CU-UP can be implemented by different functional entities and connected through the E1 interface. The CU-CP and CU-UP can be coupled with the DU.

[0111] (3) Fuzzy function

[0112] There are two types of fuzzy functions: self-fuzzy functions and mutual fuzzy functions.

[0113] 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.

[0114] 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 signals #B and #C are in the same sequence set.

[0115] (4) Zero fuzzy zone

[0116] The zero ambiguity zone means that the ambiguity function is equal to zero within a certain delay and Doppler range.

[0117] (5) Low blur area

[0118] The low ambiguity zone means that within a certain delay and Doppler range, the ambiguity function value is less than the preset threshold.

[0119] (6) Zero correlation zone

[0120] The zero correlation zone means that the correlation function is equal to zero within a certain time delay interval.

[0121] (7) Low correlation area

[0122] The low correlation area refers to a certain delay interval in which the correlation function value is less than a preset threshold.

[0123] (8) Sequence capacity

[0124] Sequence capacity refers to the number of sequences contained in the sequence set.

[0125] The following describes the problems addressed by this application.

[0126] Currently, in communication systems, common communication sequences include Alltop sequence, ZC sequence, and Zadoff-Chu Cover Alltop sequence. However, these communication sequences all have some disadvantages.

[0127] (1) Alltop sequence

[0128] For an Alltop sequence of length N, its discrete-time signal can be expressed as

[0129] Among them, the linear coefficient λ∈{0,1,…,N-1}, N is the sequence length of the sequence. The fuzzy function of the Alltop sequence is expressed as

[0130] The ambiguity function of the Alltop sequence has multiple peaks in the delay-Doppler plane and is ambiguous.

[0131] The delay-Doppler plane can be understood as a two-dimensional plane consisting of a delay axis and a Doppler axis, which will not be described in detail below.

[0132] (2) ZC sequence

[0133] As a case, the discrete-time signal of the ZC sequence can be expressed as

[0134] Among them, Δ TRepresents the zero correlation zone, k represents the cyclic shift index, N is the sequence length of the sequence, u represents the root sequence number, u∈{1,2,…,N-1}. The ambiguity function of the ZC sequence is expressed as

[0135] It can be seen from the above formula that the sequence capacity of the ZC sequence is positively correlated with the square of the sequence length, and the sequence capacity is relatively limited.

[0136] In addition, the cyclic shift of the ZC sequence is divided into three cases: unrestricted set cyclic shift, restricted set cyclic shift type A, and restricted set cyclic shift type B. In scenarios where the terminal device is moving at high speed, to combat Doppler frequency offset, the ZC sequence can be cyclically shifted using restricted set cyclic shift type A or restricted set cyclic shift type B, further reducing the sequence capacity.

[0137] Furthermore, the cyclic shifts obtained by the ZC sequence using restricted set cyclic shift type A support Doppler offsets of no more than one subcarrier spacing, while the cyclic shifts obtained by the ZC sequence using restricted set cyclic shift type B support Doppler offsets of no more than two subcarrier spacings. Depending on restricted set cyclic shift type A or restricted set cyclic shift type B, the maximum Doppler offset supported by the current ZC sequence is also limited.

[0138] In addition, for the ZC sequence, there are certain constraints on the maximum zero ambiguity area (ie, the product of the maximum round-trip delay and the maximum Doppler frequency offset). For example, the maximum zero ambiguity area does not exceed the sequence length of the ZC sequence.

[0139] (3) Zadoff-Chu Cover Alltop Sequence

[0140] Based on the Zadoff-Chu Cover Alltop sequence, it is unable to combat Doppler frequency deviation in scenarios where the terminal device is moving at high speed. The discrete time signal of the Zadoff-Chu Cover Alltop sequence is represented as

[0141] Where l,w∈{0,1,…,N-1}, Low correlation region sequence capacity The maximum value of the cross-correlation function is The correlation function of the Zadoff-Chu Cover Alltop sequence can be expressed as

[0142] To address the above issues, the present application proposes a method for optimizing a communication sequence. FIG2 shows a method 200 proposed by the present application, which includes the following steps.

[0143] S201: The first device generates (or constructs) a cubic polynomial exponential sequence.

[0144] The cubic term coefficients of the cubic polynomial exponential sequence are associated with the quadratic term coefficients of the cubic polynomial exponential sequence.

[0145] Exemplarily, the cubic polynomial exponential sequence can be expressed as:

[0146] 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}.

[0147] It can be understood that the constant term d of the cubic polynomial exponential sequence can be regarded as the sequence s a,b,c,d All symbols in (n) are rotated by a common phase e -j2πd / N Since phase rotation does not change the correlation and ambiguity of the sequence, without loss of generality, when d = 0, the cubic polynomial exponential sequence degenerates to

[0148] In one implementation, the cubic polynomial exponential sequence includes a base sequence and an auxiliary sequence, wherein the base sequence Auxiliary sequence That is, the cubic polynomial exponential sequence 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 a base sequence and an auxiliary sequence, where both the base sequence and the auxiliary sequence have a length of N.

[0149] 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)·vb,c (1),…,u a (N-1)·v b,c (N-1)].

[0150] In the embodiments of the present application, a base sequence is a sequence associated with a cell. For example, the same cell may correspond to the same base sequence, while different cells may correspond to different base sequences. Alternatively, the same cell may correspond to multiple base sequences, but different cells may correspond to different base sequences. Auxiliary sequences are sequences associated with terminal devices in the cell. For example, different terminal devices in the same cell may correspond to different auxiliary sequences.

[0151] The base sequence and auxiliary sequence are explained below.

[0152] A): Base sequence

[0153] (a) in Figure 3 shows the self-ambiguity function of a ZC-type sequence (i.e., a sequence similar to a ZC sequence, which can also be called a quadratic polynomial exponential sequence), and (b) in Figure 3 shows the self-ambiguity function of an Alltop-type sequence (i.e., a sequence similar to an Alltop sequence, which can also be called a cubic polynomial exponential sequence).

[0154] As shown in Figure 3, the self-ambiguity function of the ZC-type sequence has multiple peaks in the delay-Doppler plane (i.e., the self-ambiguity function of the ZC-type sequence has a multi-peak characteristic). The self-ambiguity function of the Alltop-type sequence has only one peak in the delay-Doppler plane (i.e., the self-ambiguity function of the Alltop-type sequence has a single peak).

[0155] FIG4( a ) shows the mutual ambiguity function of the ZC-type sequence, and FIG4( b ) shows the mutual ambiguity function of the Alltop-type sequence.

[0156] As shown in Figure 4, the mutual ambiguity function of the ZC sequence has no peak in the delay-Doppler plane, and the maximum value of the mutual ambiguity function of the ZC sequence is The mutual ambiguity function of the Alltop sequence has no peak in the delay-Doppler plane, and the maximum value of the mutual ambiguity function of the Alltop sequence does not exceed

[0157] In this embodiment, the requirements for the base sequence are: the self-ambiguity function of the base sequence has a single peak in the delay-Doppler plane, and the mutual ambiguity function of the base sequence has no peak in the delay-Doppler plane. Therefore, based on Figures 3 and 4, this application uses an Alltop sequence as the base sequence. In other words, the base sequence is an exponential sequence with a highest term of three.

[0158] As a possible case, the base sequence From the expression of the base sequence, we can see that there are N-1 base sequences. In other words, the number of base sequences is positively correlated with the sequence length.

[0159] base sequence and The fuzzy function is

[0160] Where τ is the round-trip delay, and v is the Doppler frequency shift. The meanings of τ and v are not further explained below.

[0161] From the fuzzy function of the base sequence, we can see that the maximum value of the mutual fuzzy function of the base sequence does not exceed

[0162] B) Relationship between base sequence and auxiliary sequence

[0163] In the embodiment of the present application, the cubic polynomial exponential sequence and The fuzzy function is:

[0164] If the fuzzy function of the cubic polynomial exponential sequence in the fuzzy region does not have a peak value N, then the maximum value of the fuzzy function of the cubic polynomial exponential sequence in the fuzzy region does not exceed When the sequence length 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 area, it can be ensured that the maximum value of the fuzzy function in the fuzzy area is small.

[0165] In the embodiment of the present application, the realization condition of “no peak in the fuzzy function of the cubic polynomial exponential sequence in the fuzzy region” is: 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 0 at the same time.

[0166] The cubic coefficient of the fuzzy function of the cubic polynomial exponential sequence is (a1-a2) mod N.

[0167] The coefficient of the quadratic term of the fuzzy function of the cubic polynomial exponential sequence is (b1-b2+3a2τ)mod N.

[0168] The linear coefficient of the fuzzy function of the cubic polynomial exponential sequence is (c1-c2+2b2τ-3a2τ 2 +v)mod N.

[0169] In other words, the realization condition of "no peak in the fuzzy function of the cubic polynomial exponential sequence in the fuzzy region" is: in the fuzzy function of the cubic polynomial exponential sequence, "a1=a2, b1=(b2-3a2τ)mod N, c1=(c2-2b2τ+3a2τ 2 +v)mod N” does not hold.

[0170] From this we can get: if the cubic coefficient of the base sequence a∈{1,2,…,N-1}, then the quadratic coefficient of the auxiliary sequence b=3akΔ T , linear coefficient c=lΔ F .in,

[0171] In other words, the coefficients of the quadratic terms of the auxiliary sequence are related to the coefficients of the cubic terms of the base sequence. In other words, the coefficients of the quadratic terms of the auxiliary sequence are functions of the coefficients of the cubic terms of the base sequence.

[0172] Optionally, the correlation between the quadratic term coefficient of the auxiliary sequence and the cubic term coefficient of the base sequence can also be other, for example, b=-3akΔ T ,in,

[0173] Optionally, the value range of the linear term coefficient of the auxiliary sequence can also be other, for example, c=-lΔ F ,in,

[0174] The number of base sequences is N=1, and the number of auxiliary sequences is The cubic polynomial exponential sequence The sequence capacity is In other words, the sequence capacity of the cubic polynomial exponential sequence is positively correlated with the cube of the sequence length.

[0175] In summary, the beneficial effects of the cubic polynomial exponential sequence proposed in this application are manifested in the following aspects.

[0176] (1) Compared with the ZC sequence, the cubic polynomial exponential sequence has a larger sequence capacity.

[0177] (2) Compared with the ZC sequence, the cubic polynomial exponential sequence supports the Doppler frequency offset with more subcarrier spacing. An example is given to illustrate this. Assume that the sequence length of the ZC sequence and the cubic polynomial exponential sequence are both 13, and the ambiguity area is Δ T ×Δ F =2×3. FIG5(a) shows the ambiguity function of ZC-type sequence multiplexing, and FIG5(b) shows the ambiguity function of cubic polynomial exponential sequence multiplexing.

[0178] As shown in Figure 5, in order to avoid the periodic ambiguity function peak, the ZC sequence only supports 2 sequence multiplexing. However, the cubic polynomial exponential sequence proposed in this application utilizes the unimodal characteristic of the ambiguity function and can support 24 sequence multiplexing.

[0179] (3) Compared with the maximum zero ambiguity area supported by the ZC sequence that does not exceed the sequence length, the maximum low ambiguity area of ​​the cubic polynomial exponential sequence can exceed the sequence length, that is, Δ T ×Δ F >N.

[0180] S202: The first device outputs the cubic polynomial exponential sequence generated in S201. Correspondingly, the second device receives the cubic polynomial exponential sequence.

[0181] The following describes two situations where "the first device outputs to the second device".

[0182] Case 1:

[0183] 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 "output" of the first device to the second device is an internal operation.

[0184] Case 2:

[0185] The first device may be a device in a terminal device (or a terminal device), and the second device may be a device in a network device (or a network device). In this case, "output" from the first device to the second device may be understood as "sending" from the first device to the second device.

[0186] In this scenario 2, the first device may "send" to the second device in the following two ways.

[0187] Method A:

[0188] The first device may map the cubic polynomial exponential sequence to a time domain resource. The discrete time signal of the cubic polynomial exponential sequence may be expressed as:

[0189] General expressions with cubic exponentials and sequences In comparison, 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 Indicates the maximum Doppler frequency deviation, Δ T ×Δ Fis a fuzzy area. The parameter λ is a cell-related parameter. For example, the same cell corresponds to the same λ value, 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.

[0190] Parameters k and l are parameters associated with terminal devices in a cell. Parameters k and / or l may be different for different terminal devices in the same cell.

[0191] In addition, the cell radius of the cell where the terminal device is located ranges from 0 to c(Δ T -1)T s / 2, where c represents the speed of light, T s In this regard, the same applies to the following method B.

[0192] 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 Denotes the carrier frequency, and Δf denotes the subcarrier spacing. The same applies to the following method B.

[0193] Cubic polynomial exponential sequence for time domain resource mapping and The fuzzy function can be expressed as

[0194] In the same cell (λ1=λ2), the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence is Between different cells (λ1≠λ2), the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence does not exceed

[0195] According to an embodiment of the present application, since the cubic polynomial exponential sequence is a constant modulus sequence, mapping the cubic polynomial exponential sequence to time domain resources can reduce the peak-to-average power ratio.

[0196] Method B:

[0197] The first device may map the cubic polynomial exponential sequence to frequency domain resources. The discrete time signal of the cubic polynomial exponential sequence may be expressed as

[0198] General expressions with cubic exponentials and sequences In comparison, 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 Indicates the maximum Doppler frequency deviation, Δ T ×Δ F It is a fuzzy area.

[0199] The parameter λ is a parameter associated with the cell. The parameters k and l are parameters associated with the terminal devices in the cell. For this, please refer to Method A and will not be repeated here.

[0200] Cubic polynomial exponential sequence for frequency domain resource mapping and The fuzzy function can be expressed as

[0201] In the same cell (λ1=λ2), the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence is Between different cells (λ1≠λ2), the maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence does not exceed 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 zone.

[0202] That is, since the cubic polynomial exponential sequence is a constant modulus sequence, according to the Venerzin theorem, the frequency domain resource mapping of the constant modulus sequence has an ideal time domain autocorrelation characteristic. Therefore, mapping the cubic polynomial exponential sequence to frequency domain resources can form a zero correlation zone.

[0203] In the embodiment of the present application, the constant modulus sequence can be understood as a phase-coded sequence with a constant amplitude. The constant modulus sequence can also be called a constant amplitude sequence or a constant envelope sequence.

[0204] It can be understood that the communication sequence constructed based on the embodiments of the present application can have multiple uses. As one case, the communication sequence constructed in the present application can be used in the random access process of the terminal device.

[0205] The following describes the use of this communication sequence in a random access process in conjunction with method 300 shown in FIG6 . It will be appreciated that, in the random access process, the first apparatus is a terminal device (or a device within a terminal device), and the second apparatus is a network device (or a device within a network device). Specifically, method 300 includes the following steps.

[0206] S301: The first device generates (or constructs) a plurality of cubic polynomial exponential sequences, and the plurality of cubic polynomial exponential sequences constitute a sequence set (denoted as sequence set #A).

[0207] Specifically, the first device can generate multiple cubic polynomial exponential sequences according to the method in S201. No further details are given here. The sequence set #A corresponds to the same λ value, different k values, and different l values.

[0208] For example, for the same λ value, the first device may traverse all values ​​of k and all values ​​of l, thereby forming the sequence set #A.

[0209] S302: The second device generates (or constructs) a plurality of cubic polynomial exponential sequences, and the plurality of cubic polynomial exponential sequences constitute a sequence set (denoted as sequence set #B).

[0210] It is understandable that the second device may also generate multiple cubic polynomial exponential sequences in the same manner as the first device to form sequence set #B, which will not be described in detail here.

[0211] Exemplarily, sequence set #A and sequence set #B may be the same sequence set. For example, sequence set #A and sequence set #B correspond to terminal devices and network devices within a cell, and the corresponding values ​​of λ are the same. Furthermore, for the values ​​of λ, both the first device and the second device traverse all values ​​of k and all values ​​of l.

[0212] Of course, sequence set #A and sequence set #B may also be different, and this application does not limit this.

[0213] S303: The first device selects a cubic polynomial exponential sequence from the sequence set #A. For ease of description, the cubic polynomial exponential sequence selected by the first device is referred to as a first sequence.

[0214] As an optional manner, the first device may randomly select a cubic polynomial exponential sequence from the sequence set #A.

[0215] S304: The first device outputs the first sequence. Correspondingly, the second device receives the first sequence.

[0216] For this process, please refer to Case 2 in S202 and will not be described in detail here.

[0217] S305: The second device determines from sequence set #B that the sequence received in S304 is the first sequence.

[0218] As a method, the second device can traverse the sequences in sequence set #B and compare them with the sequence received in S304, thereby determining that the sequence received in S304 is the first sequence, and at the same time determine the round-trip delay and / or Doppler frequency offset.

[0219] As another case, the communication sequence constructed in the present application can also be used in the perception process of the terminal device and / or the network device.

[0220] Optionally, the first device sends a cubic polynomial exponential sequence and receives an echo of the cubic polynomial exponential sequence. The first device determines a round trip delay and a Doppler frequency shift of the sensed target, thereby obtaining a distance and a moving speed of the sensed target.

[0221] Optionally, the first device sends a cubic polynomial exponential sequence, and the second device receives the cubic polynomial exponential sequence. The second device determines the time delay and Doppler frequency shift of the sensed target, and then obtains the distance and moving speed of the sensed target.

[0222] The above describes the method proposed in this application. FIG7 shows a communication device provided in an embodiment of this application, which includes a transceiver unit and a processing unit.

[0223] The transceiver unit can be used to implement corresponding information transmission and reception functions. The transceiver unit can also be called a communication interface or a communication unit. The processing unit can be used to perform processing operations.

[0224] Exemplarily, the device further includes a storage unit, which can be used to store instructions and / or data, and the processing unit can read the instructions and / or data in the storage unit so that the device implements the actions of the device in the aforementioned various method embodiments.

[0225] As an implementation, the device may be the first device in the aforementioned embodiment, or a component (such as a chip) of the first device. The transceiver unit and the processing unit may be used to implement relevant operations of the first device.

[0226] For example, the transceiver unit may be configured to execute S202 , and the processing unit may be configured to execute S201 .

[0227] For another example, the transceiver unit may be configured to execute S304 , and the processing unit may be configured to execute S301 and S303 .

[0228] As another implementation, the device may be the second device in the aforementioned embodiment, or a component (such as a chip) of the second device. The transceiver unit and the processing unit may be used to implement relevant operations of the second device.

[0229] For example, the transceiver unit may be configured to execute S202 .

[0230] For another example, the transceiver unit may be configured to execute S304, and the processing unit may be configured to execute S302 and S305.

[0231] It can be understood that the specific process of each unit executing the above corresponding steps has been described in detail in the above method embodiments, and for the sake of brevity, it will not be repeated here.

[0232] The transceiver unit can be replaced by a transceiver (for example, the sending unit in the transceiver unit can be replaced by a transmitter, and the receiving unit in the transceiver unit can be replaced by a receiver), and other units, such as the processing unit, can be replaced by a processor to respectively perform the transceiver operations and related processing operations in each method embodiment.

[0233] In addition, the above-mentioned transceiver unit may also be a transceiver circuit (for example, may include a receiving circuit and a sending circuit), and the processing unit may be a processing circuit.

[0234] Figure 8 illustrates another communication device provided in an embodiment of the present application. The communication device includes a processor and a communication interface. The processor is configured to execute programs or instructions stored in a memory, or read data stored in a memory, to perform the relevant actions described in the above method embodiments. For example, there may be one or more processors. The communication interface is configured to receive and / or transmit signals.

[0235] Exemplarily, the communication device may further include a memory for storing computer programs or instructions and / or data. The memory may be integrated with the processor or may be separately provided. Of course, the communication device may also not include the memory, and the memory may be provided externally to the communication device. Exemplarily, there may be one or more memories.

[0236] For example, the processor, communication interface, and memory are interconnected via a bus; the bus may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. These buses can be categorized as address buses, data buses, and control buses. For ease of illustration, the figure uses only one thick line, but this does not imply that there is only one bus or only one type of bus.

[0237] It is understood that the processor mentioned in the embodiments of the present application can be a central processing unit (CPU), a network processor (NP), or a combination of a CPU and an NP. The processor can further include a hardware chip. The above-mentioned hardware chip can be an application specific integrated circuit (ASIC), a programmable logic device (PLD). The above-mentioned PLD can be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.

[0238] It is also understood that the memory mentioned in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. 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), which is used as an external cache.

[0239] It is understood that if the embodiments of the present application are implemented in the form of software and sold or used as an independent product, the corresponding program (also referred to as code or instructions) can be stored in a readable storage medium. Therefore, the present application also provides a readable storage medium including a program that, when executed on a device or computer, causes the device or computer to perform any possible implementation of the above-mentioned solution.

[0240] The readable storage media include: U disk, mobile hard disk, ROM, RAM, disk or CD and other media that can store program code.

[0241] The technical solution of the present application can be embodied in the form of a software product. Therefore, the present application also provides a program product, which includes: a program, which, when executed, enables a device or computer to execute any possible implementation of the above solution.

[0242] In addition, an embodiment of the present application further provides a chip system (or chip). The chip system includes a processor and an interface circuit, wherein the interface circuit is used to provide the processor with data, instructions, or information transmission and / or reception, and the processor is used to execute any possible implementation of the above solution.

[0243] The above are only specific embodiments of the present application, but the scope of protection of this 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, It is characterized in that include: The first device generates a cubic polynomial exponential sequence, wherein the coefficients of the cubic terms of the cubic polynomial exponential sequence are associated with the coefficients of the quadratic terms of the cubic polynomial exponential sequence; The first device outputs the cubic polynomial exponential sequence.

2. The method according to claim 1, It is characterized in that The cubic polynomial exponential sequence Among them, a is the cubic term coefficient of the cubic polynomial exponential sequence, b is the quadratic term coefficient of the cubic polynomial exponential sequence, c is the linear term coefficient of the cubic polynomial exponential sequence, d is the constant term of the cubic polynomial exponential sequence, N is the sequence length of the cubic polynomial exponential sequence, N is a prime number, n∈{0,1,…,N-1}.

3. The method according to claim 2, It is characterized in that The cubic polynomial exponential sequence includes a base sequence and an auxiliary sequence. The auxiliary sequence 4. The method according to claim 3, It is characterized in that The maximum value of the fuzzy function of the base sequence does not exceed The number of base sequences is positively correlated with the sequence length; The maximum value of the fuzzy function of the auxiliary sequence is The number of the auxiliary sequences is positively correlated with the square of the sequence length.

5. The method according to any one of claims 2 to 4, It is 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 frequency deviation.

6. The method according to any one of claims 2 to 5, It is 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, including: If the cubic coefficient of the cubic polynomial exponential sequence a∈{1,2,…,N-1}, then the quadratic 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 frequency deviation.

7. The method according to claim 6, It is characterized in that The sequence capacity of the cubic polynomial exponential sequence is 8. The method according to any one of claims 2 to 7, It is characterized in that The cubic polynomial exponential sequence is mapped using time domain resources. The discrete time signal of the cubic polynomial exponential sequence is: 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 Indicates the maximum Doppler frequency deviation.

9. The method according to any one of claims 2 to 7, It is characterized in that The cubic polynomial exponential sequence is mapped using frequency domain resources. The discrete time signal of the cubic polynomial exponential sequence is: 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 Indicates the maximum Doppler frequency deviation.

10. The method according to any one of claims 8 to 9, It is characterized in that The same cell corresponds to the same λ value, and different cells correspond to different λ values; or, The same cell corresponds to multiple λ values, and different cells correspond to different λ values.

11. The method according to any one of claims 8 to 10, It is characterized in that The first device outputs the cubic polynomial exponential sequence, comprising: The first device generates a sequence set, the sequence set corresponding to the same λ value, different k values, and different l values; The first device selects the cubic polynomial exponential sequence from the sequence set; The first device outputs the cubic polynomial exponential sequence.

12. The method according to claim 11, It is characterized in that The maximum value of the mutual ambiguity function of the cubic polynomial exponential sequence in the sequence set is The number of sequences in the sequence set is Among them, Δ T is the maximum round trip delay, Δ F is the maximum Doppler frequency deviation.

13. The method according to any one of claims 1 to 12, It is characterized in that The radius of the cell where the first 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.

14. The method according to any one of claims 1 to 13, It is characterized in that The moving speed range of the first 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 frequency deviation.

15. A communication method, It is characterized in that include: The second device generates a plurality of cubic polynomial exponential sequences, wherein the plurality of cubic polynomial exponential sequences constitute a sequence set, wherein cubic term coefficients of the cubic polynomial exponential sequences are associated with quadratic term coefficients of the cubic polynomial exponential sequences; The second device receives the cubic polynomial exponential sequence from the first device; The second device determines the cubic polynomial exponential sequence, the round-trip delay and / or the Doppler frequency deviation, and the cubic polynomial exponential sequence is a sequence in the sequence set.

16. A communication device, It is characterized in that The method comprises a unit for executing any one of the methods of claims 1 to 14, or comprises a unit for executing claim 15.

17. A communication device, It is characterized in that include: A communication interface and a processor, wherein the processor is configured to execute a computer program or instruction so that the communication device executes the method according to any one of claims 1 to 14, or the communication device executes the method according to claim 15.

18. A communication system, It is characterized in that The communication system comprises a first device and a second device; The first device is used to perform the method according to any one of claims 1 to 14; The second device is configured to execute the method according to claim 15.

19. A computer-readable storage medium, It is characterized in that The method comprises a computer program or an instruction, which, when executed on a computer, enables the computer to execute the method according to any one of claims 1 to 14, or enables the computer to execute the method according to claim 15.

20. A computer program product, It is characterized in that The method comprises instructions, which, when executed on a computer, cause the computer to execute the method according to any one of claims 1 to 14, or cause the computer to execute the method according to claim 15.

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