Communication method and communication device

Abstract

A communication method and a communication device, relating to the technical field of communications. In the method, a first device determines a polynomial exponent sequence, wherein a leading coefficient of the polynomial exponent sequence is associated with a first coefficient, the first coefficient is any coefficient from a sub-leading coefficient of the polynomial exponent sequence to a quadratic coefficient, and the degree of the polynomial exponent sequence is greater than or equal to 4. In this way, the polynomial exponent sequence can satisfy requirements of a user, such as larger sequence capacity and lower interference between sequences.

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 March 22, 2024, with application number 202410339909.3 and application name “Communication Method and Communication Device”, the entire contents of which are incorporated by reference into this application. Technical Field

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

[0003] Sequences are widely used in long term evolution (LTE) and new radio (NR) protocols. For example, downlink synchronization signals, uplink random access signals, demodulation reference signals (DMRS), and sounding reference signals (SRS) all require sequences for signal generation.

[0004] Currently, commonly used sequences mainly include: pseudo-random sequences (such as m-sequence and gold sequence), polyphase sequences (such as Zadoff-Chu (ZC) sequence) and computer generated sequences (computer generated sequence, CGS).

[0005] As the scale of future communications continues to increase, these sequences may not meet user needs. For example, these sequences may have limited capacity or strong inter-sequence interference. Therefore, improving these sequences is a pressing technical challenge. Summary of the Invention

[0006] The present application provides a communication method and a communication device that can support improvements to existing sequences to meet user needs, such as increasing sequence capacity and reducing interference between sequences.

[0007] In a first aspect, a communication method is provided, comprising: determining a polynomial exponential sequence, wherein the highest-order coefficient of the polynomial exponential sequence is associated with a first coefficient, the first coefficient being any one of the second-highest-order coefficient to the quadratic coefficient of the polynomial exponential sequence, and the degree of the polynomial exponential sequence being greater than or equal to 4; and sending the polynomial exponential sequence.

[0008] The execution entity of the solution described in the first aspect may be the first device, a module within the first device (such as a chip system), or a logical node, logic module, or software that implements all or part of the functions of the first device, without limitation. For ease of description, the following description uses the first device as an example.

[0009] In the above scheme, the highest-order coefficient is associated with the first coefficient. This helps prevent peaks from occurring between any two polynomial exponential sequences within a certain range, thereby facilitating the differentiation of different polynomial exponential sequences and reducing strong interference between them, thereby improving communication performance. Furthermore, the degree of the above polynomial exponential sequence is greater than or equal to 4, which can increase sequence capacity.

[0010] In summary, by designing a polynomial exponential sequence with a degree greater than or equal to 4, there is a correlation between some coefficients of the order terms of the polynomial exponential sequence, which can support meeting user needs, such as high sequence capacity, reduced interference between sequences, etc.

[0011] In a second aspect, a communication method is provided, including: receiving a polynomial exponential sequence, the highest-order coefficient of the polynomial exponential sequence is associated with a first coefficient, the first coefficient is any one of the second-highest-order coefficient to the quadratic coefficient of the polynomial exponential sequence, and the degree of the polynomial exponential sequence is greater than or equal to 4; and processing the polynomial exponential sequence.

[0012] The execution entity of the solution described in the second aspect can be the second device, a module within the second device (such as a chip system), or a logical node, logic module, or software that implements all or part of the functions of the second device, without limitation. For ease of description, the following description uses the second device as an example.

[0013] In combination with any one of the first and second aspects, the first coefficient is associated with a first parameter, and the first parameter is one of a maximum delay spread and a maximum Doppler spread.

[0014] By associating the first coefficient and the first parameter, it is advantageous to ensure that the correlation function of any two polynomial exponential sequences does not exceed a threshold within a certain range of the domain where the first parameter is located, thereby supporting improved communication performance.

[0015] In combination with any one of the first and second aspects, the coefficient of the first term of the polynomial exponential sequence is associated with a second parameter, the second parameter is one of a maximum delay spread and a maximum Doppler spread, and the first parameter is different from the second parameter.

[0016] By associating the linear term coefficient with the second parameter, it is advantageous to achieve that the correlation function of any two polynomial exponential sequences is equal to zero within a certain range of the domain where the second parameter is located, thereby supporting the improvement of communication performance.

[0017] In combination with any one of the first and second aspects, the first coefficient is the coefficient of the second highest order term of the polynomial exponential sequence.

[0018] In this way, it is beneficial for the ambiguity function of any two polynomial exponential sequences within the maximum delay spread and maximum Doppler spread range to be smaller than a threshold, thereby supporting the improvement of communication performance.

[0019] In combination with any one of the first and second aspects, the polynomial exponential sequence N is the sequence length of the polynomial exponential sequence, N is a prime number, and D is the degree of the polynomial exponential sequence.

[0020] In combination with any one of the first and second aspects, the polynomial exponential sequence includes a base sequence and an auxiliary sequence base sequence Auxiliary sequence

[0021] A base sequence is a sequence associated with a cell. For example, the same base sequence corresponds to the same cell, while different cells correspond to different base sequences. Alternatively, the same cell corresponds to multiple base sequences, while different cells correspond to different base sequences. A secondary sequence is a sequence associated with a terminal device in the cell. For example, different terminal devices in the same cell may correspond to different secondary sequences.

[0022] By constructing the above-mentioned polynomial exponential sequence based on the base sequence and the auxiliary sequence, it is possible to distinguish between different cells and different terminal devices.

[0023] In combination with any one of the first and second aspects, the polynomial exponential sequence is mapped using time domain resources, the first parameter is the maximum delay spread, and the second parameter is the maximum Doppler spread.

[0024] In this way, the first coefficient is associated with the maximum delay spread, and the first-order coefficient is associated with the maximum Doppler spread, which is conducive to achieving the low ambiguity zone feature, that is, the ambiguity function of any two polynomial exponential sequences within the maximum delay spread and maximum Doppler spread range does not exceed the threshold.

[0025] In combination with the method described in any one of the first and second aspects, the polynomial exponential sequence is mapped using time domain resources, and the discrete time signal of the polynomial exponential sequence is ΔT represents the maximum delay spread, Δ F Indicates the maximum Doppler spread. Where “…” indicates that the value rules of the undisplayed parameters are the same as those of the displayed parameters, for example, λ D-3 ∈{0,1,…,N-1}, etc.

[0026] Through the above-mentioned polynomial exponential sequence, the embodiment of the present application can improve the sequence capacity and meet the low ambiguity area characteristics.

[0027] In combination with the method described in any one of the first and second aspects, D=4, the discrete time signal of the polynomial exponential sequence is

[0028] Among them, λ=λ4, μ=λ3, k=λ2, l=λ1.

[0029] Through the above-mentioned polynomial exponential sequence, the embodiment of the present application can improve the sequence capacity and meet the low ambiguity area characteristics.

[0030] In combination with any one of the first aspect and the second aspect, the polynomial exponential sequence is mapped using frequency domain resources, the first parameter is the maximum Doppler spread, and the second parameter is the maximum delay spread.

[0031] In this way, the first coefficient is associated with the maximum Doppler spread, and the first-order coefficient is associated with the maximum delay spread, which is conducive to achieving the low ambiguity zone feature, that is, the ambiguity function of any two polynomial exponential sequences within the maximum delay spread and maximum Doppler spread range does not exceed the threshold.

[0032] In combination with any one of the first and second aspects, the polynomial exponential sequence is mapped using frequency domain resources, and the discrete time signal of the polynomial exponential sequence is Among them, “…” indicates that the value rules of the undisplayed parameters are the same as those of the displayed parameters. For example, λ D-3 ∈{0,1,…,N-1}, etc.

[0033] Through the above-mentioned polynomial exponential sequence, the embodiment of the present application can improve the sequence capacity and meet the low ambiguity area characteristics.

[0034] In combination with any one of the first and second aspects, D=4, the discrete time signal of the polynomial exponential sequence is

[0035] Among them, λ=λ4, μ=λ3, k=λ2, l=λ1.

[0036] Through the above-mentioned quartic polynomial exponential sequence, the embodiment of the present application can improve the sequence capacity and meet the low ambiguity area characteristics.

[0037] In combination with any one of the first and second aspects, the maximum value of the fuzzy function of the polynomial exponential sequence does not exceed

[0038] In this way, the above polynomial exponential sequence can satisfy the low ambiguity zone feature.

[0039] In combination with any one of the first aspect and the second aspect, the sequence capacity of the polynomial exponential sequence is

[0040] In this way, the above polynomial exponential sequence can meet the demand for high sequence capacity.

[0041] In combination with any one of the first aspect and the second aspect, the method further includes: determining indication information, where the indication information is used to indicate the polynomial exponential sequence.

[0042] In this way, the first device can indicate the above-mentioned polynomial exponential sequence through the indication information.

[0043] In combination with any one of the first and second aspects, the indication information includes one or more coefficients of the polynomial indication sequence.

[0044] In this way, the first device can indicate the above-mentioned polynomial exponential sequence through one or more coefficients included in the indication information.

[0045] In a third aspect, a communication device is provided. The communication device may be a first device, or a device or module for executing the function of the first device.

[0046] The communication device may include modules or units corresponding to the methods / operations / steps / actions described in the first aspect. The modules or units may be hardware circuits, software, or a combination of hardware circuits and software.

[0047] For example, the communication device includes a processing unit and a transceiver unit, the processing unit is used to determine the aforementioned polynomial exponential sequence; the transceiver unit is used to send the polynomial exponential sequence, and so on.

[0048] In a fourth aspect, a communication device is provided. The communication device may be a second device, or a device or module for executing the function of the second device.

[0049] The communication device may include modules or units corresponding to the methods / operations / steps / actions described in the second aspect. The modules or units may be hardware circuits, software, or a combination of hardware circuits and software.

[0050] For example, the communication device includes a processing unit and a transceiver unit, the transceiver unit is used to receive the aforementioned polynomial exponential sequence; the processing unit is used to process the polynomial exponential sequence, and so on.

[0051] In a fifth aspect, a communication device is provided, comprising a processor, wherein the processor is configured to, by executing a computer program or instruction, or by a logic circuit, enable the communication device to execute the method described in the first aspect and any possible manner of the first aspect; or enable the communication device to execute the method described in the second aspect and any possible manner of the second aspect.

[0052] The communication device further comprises a memory for storing the computer program or instructions.

[0053] The communication device further comprises a communication interface for inputting and / or outputting signals.

[0054] In the sixth aspect, a communication device is provided, comprising a logic circuit and an input / output interface, the input / output interface being used to input and / or output signals, the logic circuit being used to execute the method described in the first aspect and any possible manner of the first aspect; or the logic circuit being used to execute the method described in the second aspect and any possible manner of the second aspect.

[0055] In the seventh aspect, a computer-readable storage medium is provided, on which a computer program or instruction is stored. When the computer program or the instruction is run on a computer, the method described in the first aspect and any possible method of the first aspect is executed; or, the method described in the second aspect and any possible method of the second aspect is executed.

[0056] In an eighth aspect, a computer program product is provided, comprising instructions, which, when executed on a computer, cause the method described in the first aspect and any possible manner of the first aspect to be executed; or cause the method described in the second aspect and any possible manner of the second aspect to be executed.

[0057] In the ninth aspect, a chip system is provided, comprising: a processor, which is used to execute the computer program or instructions in the memory, so that the chip system implements the method in the first aspect and any possible implementation of the first aspect; or, enables the chip system to implement the method in the second aspect and any possible implementation of the second aspect.

[0058] For the description of the beneficial effects of any aspect from the third aspect to the ninth aspect, reference can be made to the description of the beneficial effects of the first aspect and the second aspect, and no further details will be given. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] FIG1 is a schematic diagram of a communication system to which an embodiment of the present application is applicable.

[0060] FIG2 is a schematic diagram of an interaction flow of a communication method according to an embodiment of the present application.

[0061] FIG3 is a schematic block diagram of a communication device according to an embodiment of the present application.

[0062] FIG4 is a schematic block diagram of another communication device according to an embodiment of the present application. DETAILED DESCRIPTION

[0063] In order to facilitate understanding of the embodiments of the present application, the following points are first explained.

[0064] 1. Unless otherwise specified, “plurality” means two or more.

[0065] 2. Unless otherwise specified or there is no logical conflict, the terms and / or descriptions between different embodiments of this application are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form new embodiments based on their internal logical relationships.

[0066] 3. The various numerical numbers involved in this application are only used for the convenience of description and are not used to limit the scope of protection of this application. The size of the serial numbers involved in this application does not mean the order of execution. The order of execution of each process should be determined by its function and internal logic. For example, the terms "first", "second", "third", "fourth" and other various terminology labels (if any) in the specification and claims and drawings of this application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. Among them, the data used in this way can be interchangeable where appropriate, so that the embodiments described here can be implemented in an order other than what is illustrated or described here.

[0067] At the same time, any embodiment or design described in this application as "exemplary" or "for example" should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner to facilitate understanding.

[0068] 4. 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.

[0069] 5. In this application, "used to indicate" can be understood as "enabling," and "enabling" can include direct enabling and indirect enabling. When describing that certain information is used to enable A, it can include that the information directly enables A or indirectly enables A, and does not necessarily mean that the information contains A.

[0070] The information enabled by the information is called information to be enabled. In the specific implementation process, there are many ways to enable the enabled information, such as but not limited to, directly enabling the information to be enabled, such as the information to be enabled itself or the index of the information to be enabled. The information to be enabled can also be indirectly enabled by enabling other information, wherein there is an association between the other information and the information to be enabled. It is also possible to enable only a part of the information to be enabled, while the other parts of the information to be enabled are known or agreed in advance. For example, it is also possible to enable specific information with the help of the arrangement order of each piece of information agreed in advance (such as specified in the protocol), thereby reducing the enabling overhead to a certain extent. At the same time, it is also possible to identify the common parts of each piece of information and enable them uniformly to reduce the enabling overhead caused by enabling the same information separately.

[0071] 6. In this application, "pre-configuration" may include pre-definition, such as protocol definition. "Pre-definition" may be implemented by pre-storing corresponding codes, tables, or other methods that can be used to indicate relevant information in a device (e.g., including each network element). This application does not limit the specific implementation method.

[0072] 7. "Storage" or "saving" as used in this application may refer to storage in one or more memories. The one or more memories may be provided separately or integrated into an encoder or decoder, a processor, or a communication device. The one or more memories may also be provided in part separately and in part integrated into a decoder, processor, or communication device. The type of memory may be any form of storage medium and is not limited thereto.

[0073] 8. The “protocol” referred to in this application may refer to a standard protocol in the field of communications, such as the fourth generation (4G) th generation, 4G) network, fifth generation (5 th generation, 5G) network protocol, NR protocol, 5.5G network protocol, sixth generation (6th generation, 6G) network protocols and related protocols used in future communication systems, which are not limited in this application.

[0074] 9. The arrows or boxes indicated by dotted lines in the schematic diagrams in the accompanying drawings of this application specification represent optional steps or optional modules.

[0075] 10. Unless otherwise specified, “ / ” indicates that the objects associated with each other are in an “or” relationship. For example, A / B can mean A or B. “And / or” in this application is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural.

[0076] 11. In this application, "indication" may include direct indication, indirect indication, explicit indication, and implicit indication. When describing a certain indication information as indicating A, it can be understood that the indication information carries A, directly indicates A, or indirectly indicates A.

[0077] In this application, the information indicated by the indication information is referred to as the information to be indicated. In the specific implementation process, there are many ways to indicate the information to be indicated, such as but not limited to, the information to be indicated can be directly indicated, such as the information to be indicated itself or the index of the information to be indicated. The information to be indicated can also be indirectly indicated by indicating other information, wherein there is an association between the other information and the information to be indicated. It is also possible to indicate only a part of the information to be indicated, while the other parts of the information to be indicated are known or agreed in advance. For example, the indication of specific information can also be achieved with the help of the arrangement order of each information agreed in advance (for example, stipulated by the protocol), thereby reducing the indication overhead to a certain extent. In addition, the information to be indicated can be sent together as a whole, or it can be divided into multiple sub-information and sent separately, and the sending period and / or sending time of these sub-information can be the same or different.

[0078] 12. In this application, "sending" and "receiving" indicate the direction of signal transmission. For example, "sending information to XX" can be understood as the destination of the information being XX, which can include direct sending through the air interface, as well as indirect sending through the air interface by other units or modules. "Receiving information from YY" can be understood as the source of the information being YY, which can include direct receiving from YY through the air interface, as well as indirect receiving from YY through the air interface from other units or modules. "Sending" can also be understood as the "output" of the chip interface, and "receiving" can also be understood as the "input" of the chip interface. In other words, sending and receiving can be performed between devices, for example, between a network device and a terminal device, or can be performed within a device, for example, sending or receiving between components, modules, chips, software modules, or hardware modules within the device through a bus, trace, or interface.

[0079] The technical solutions provided in this application can be applied to various communication systems, such as 5G or NR systems, 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 6G communication systems.

[0080] The technical solution 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.

[0081] The terminal devices in the embodiments of the present application include various devices with wireless communication functions, which can be used to connect people, objects, machines, etc. The terminal devices can be widely used in various scenarios, such as: cellular communication, D2D, V2X, peer to peer (P2P), M2M, MTC, IoT, virtual reality (VR), augmented reality (AR), industrial control, autonomous driving, telemedicine, smart grid, smart furniture, smart office, smart wearable, smart transportation, smart city drones, robots, remote sensing, passive sensing, positioning, navigation and tracking, autonomous delivery, etc.

[0082] The terminal device can be a terminal in any of the above scenarios, such as an MTC terminal, an IoT terminal, etc. The terminal device can be a 3GPP (3 rd The present invention relates to user equipment (UE), terminal, fixed device, mobile station device or mobile device, subscriber unit, handheld device, vehicle-mounted device, wearable device, cellular phone, smart phone, SIP phone, wireless data card, personal digital assistant (PDA), computer, tablet computer, notebook computer, wireless modem, handheld device, laptop computer, computer with wireless transceiver function, smart book, vehicle, satellite, global positioning system (GPS) device, target tracking device, aircraft (such as drone, helicopter, multi-copter, quadcopter, or airplane), ship, remote control device, smart home device, industrial equipment, or device built into the above devices (such as communication module, modem or chip in the above devices), or other processing devices connected to the wireless modem. For the convenience of description, the terminal device will be described below by taking the terminal or UE as an example.

[0083] In some scenarios, the terminal device can also be used to act as a base station. For example, the terminal device can act as a scheduling entity, which provides sidelink signals between UEs in scenarios such as V2X, D2D, or P2P.

[0084] In the embodiments of the present application, the device for implementing the function of the terminal device can be the terminal device, or it can be a device that can support 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 it can include a chip and other discrete devices.

[0085] 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. Base station can 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, transmission point (TRP), transmission point (TP), master station, auxiliary station, multi-standard wireless (motor slide retainer, MSR) node, home base station, network controller, access node, wireless node, access point (AP), transmission node, transceiver node, baseband unit (BBU), remote radio unit (RRU), active antenna unit (AAU), remote radio head (RRH), central unit (CU), distributed unit (DU), positioning node, etc. The base station can be a macro base station, a micro base station, a relay node, a donor node or the like, or a combination thereof. The base station can also refer to a communication module, modem or chip used to be set in the aforementioned device or apparatus. The base station can 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. The base station can 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 the network equipment.

[0086] 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.

[0087] In the embodiments of the present application, the device for implementing the function of the network device can be the network device, or it can be a device that can support 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.

[0088] 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.

[0089] Figure 1 is a schematic diagram of a communication system applicable to an embodiment of the present application. As shown in Figure 1, the communication system includes: a radio access network (RAN) 100 and a core network (CN) 200. The RAN 100 includes at least one RAN node (such as 110a and 110b, collectively referred to as 110) and at least one terminal device (such as 120a-120j, collectively referred to as 120). The RAN 100 may also include other RAN nodes, such as wireless relay devices and / or wireless backhaul devices (not shown in Figure 1). The terminal device 120 is connected to the RAN node 110 via a wireless connection. The RAN node 110 is connected to the core network 200 via a wireless or wired connection. The core network devices in the core network 200 and the RAN node 110 in the RAN 100 can be different physical devices, or they can be the same physical device that integrates the core network logical functions and the radio access network logical functions.

[0090] The RAN 100 may be a 3GPP-related cellular system, such as a 4G or 5G mobile communication system, or a future-oriented evolutionary system (such as a 6G mobile communication system). The RAN 100 may also be an open access network (O-RAN or ORAN), a cloud RAN (CRAN), or a wireless fidelity (WiFi) system. The RAN 100 may also be a communication system that integrates two or more of the above systems.

[0091] RAN node 110, sometimes also referred to as access network equipment, RAN entity, or access node, constitutes part of a communication system and facilitates wireless access for terminal devices. Multiple RAN nodes 110 in the communication system can be of the same type or different types. In some scenarios, the roles of RAN node 110 and terminal device 120 are relative. For example, network element 120i can be a helicopter or drone configured as a mobile base station. For terminal device 120j accessing RAN 100 via network element 120i, network element 120i is a base station; however, for base station 110a, network element 120i is a terminal device. RAN node 110 and terminal 120 are sometimes referred to as communication devices. For example, network elements 110a and 110b can be understood as communication devices with base station functionality, and network elements 120a-120j can be understood as communication devices with terminal functionality.

[0092] In one possible scenario, a RAN node may be a base station (BS), an eNodeB, an access point (AP), a Transmitter Relay (TRP), a gNB, a next-generation base station in a 6G mobile communication system, a base station in a future mobile communication system, or an access node in a WiFi system. A RAN node may be a macro base station (such as 110a in Figure 1 ), a micro base station or an indoor station (such as 110b in Figure 1 ), a relay node or a donor node, or a wireless controller in a CRAN scenario.

[0093] Optionally, the RAN node may also be a server, a wearable device, a vehicle or an on-board device, etc. For example, the access network device in the V2X technology may be a road-side unit (RSU) or a base station. All or part of the functions of the RAN node in this application may also be implemented by software functions running on hardware, or by virtualization functions instantiated on a platform (such as a cloud platform). The RAN node in this application may also be a logical node, logical module or software that can implement all or part of the functions of the RAN node.

[0094] In another possible scenario, multiple RAN nodes collaborate to assist terminal devices in achieving wireless access, and different RAN nodes respectively implement part of the functions of the base station. For example, the RAN node can be a centralized unit (CU), a distributed unit (DU), a CU-control plane (CP), a CU-user plane (UP), or a radio unit (RU). The CU and DU can be set separately, or they can be included in the same network element, such as a baseband unit (BBU). The RU can be included in a radio frequency device or radio frequency unit, such as a remote radio unit (RRU), an active antenna unit (AAU), or a remote radio head (RRH).

[0095] In different communication systems, CU (or CU-CP and CU-UP), DU or RU may also have different names, but those skilled in the art can understand their meanings. For example, in an open radio access network (ORAN) system, CU may also be called O-CU (open CU), DU may also be called O-DU, CU-CP may also be called O-CU-CP, CU-UP may also be called O-CU-UP, and RU may also be called O-RU. For the convenience of description, this application takes CU, CU-CP, CU-UP, DU and RU as examples for description. Any unit of CU (or CU-CP, CU-UP), DU and RU in this application can be implemented by a software module, a hardware module, or a combination of a software module and a hardware module.

[0096] The number of devices in the above-mentioned communication system is for illustration only and is not limited thereto. In actual applications, the communication system may further include more terminal devices, more RAN devices, and other devices.

[0097] Figure 1 is a simplified schematic diagram for ease of understanding, and the communication system may also include a greater number of network devices or terminal devices. The embodiments of the present application may be applicable to any communication scenario in which a transmitting device and a receiving device communicate with each other.

[0098] To facilitate understanding, the terms involved in the embodiments of this application are briefly explained below.

[0099] 1. Fuzzy function

[0100] Fuzzy functions include self-fuzzy functions and mutual fuzzy functions.

[0101] Self-ambiguity function: refers to the correlation between signal #1 and signal #2. Signal #2 is the signal of signal #1 after being affected by time delay and Doppler frequency shift.

[0102] Mutual ambiguity function: refers to the correlation between signal #A and signal #B. Signal #A is the signal after signal #C has been affected by time delay and Doppler frequency shift. Signal #B and signal #C are in the same sequence set.

[0103] For example, the self-ambiguity function of the signal u(n) is defined as

[0104] For example, the mutual ambiguity function of signal u(n) and signal v(n) is defined as

[0105] Where τ represents the time delay, ν represents the Doppler frequency shift, j represents the imaginary unit, and j 2 =-1, superscript * indicates complex conjugate.

[0106] 2. Zero fuzzy zone

[0107] The zero ambiguity zone means that within a certain delay and Doppler range, the ambiguity function (including self-ambiguity function and mutual ambiguity function) is equal to zero.

[0108] Taking the mutual ambiguity function as an example, the zero ambiguity area of ​​signal u(n) and signal v(n) is expressed as:

[0109] The operator ∨ ​​represents the conditional OR.

[0110] 3. Low blur area

[0111] The low ambiguity zone refers to the area within a certain delay and Doppler range where the ambiguity function (including self-ambiguity function and mutual ambiguity function) is less than the threshold. Taking the mutual ambiguity function as an example, the low ambiguity zone of signals u(n) and v(n) is expressed as:

[0112] 4. Zero correlation zone

[0113] The zero correlation zone means that within a certain time delay range, the correlation function (including the autocorrelation function and the cross-correlation function) is equal to zero.

[0114] Among them, the autocorrelation function of the signal u(n) is defined as:

[0115] Among them, the cross-correlation function of signal u(n) and signal v(n) is defined as:

[0116] Taking the cross-correlation function as an example, the zero correlation area of ​​signal u(n) and signal v(n) is expressed as:

[0117] 5. Low correlation area

[0118] The low correlation region refers to a region where the correlation function (including the autocorrelation function and the cross-correlation function) is less than a threshold value within a certain time delay range.

[0119] Taking the cross-correlation function as an example, the low correlation area of ​​signal u(n) and signal v(n) is expressed as:

[0120] 6. Sequence capacity

[0121] Sequence capacity refers to the number of sequences contained in the sequence set.

[0122] To address the technical issues described in the background technology section, this application designs a polynomial exponential sequence of degree greater than or equal to 4, in which some coefficients are correlated. This polynomial exponential sequence can meet user needs, such as greater sequence capacity and reduced interference between sequences. A detailed description is provided below.

[0123] For ease of understanding and explanation, the communication method of the embodiment of the present application is described below using the interaction between the first device and the second device as an example, but this should not constitute any limitation on the execution subject of the communication method of the embodiment of the present application. For example, a method executed by a certain device (such as the first device and / or the second device) may also be executed by a module (such as a circuit, chip or chip system, etc.) in the device, and may also be implemented by a logical node, logical module or software that can implement all or part of the functions of the device.

[0124] The first device and the second device can be deployed within the same device. For example, if both the first device and the second device are deployed within a terminal device, the interaction between the first device and the second device is considered an interaction between different modules of the terminal device. For another example, if both the first device and the second device are deployed within a network device, the interaction between the first device and the second device is considered an interaction between different modules of the network device. In this way, the interaction between the first device and the second device is considered an interaction between different modules within a single device.

[0125] The first device and the second device may also be deployed in different devices. For example, the first device may be deployed in a terminal device, and the second device may be deployed in a network device. In another example, the first device may be deployed in a network device, and the second device may be deployed in a terminal device. In this case, the interaction between the first device and the second device is considered an interaction between different devices. In another example, the first device and the second device may each be deployed in a terminal device, such as the first device being deployed in a first terminal device and the second device being deployed in a second terminal device.

[0126] In summary, the present application does not limit the deployment form of the first device and the second device.

[0127] FIG2 is a schematic diagram of an interaction flow of a communication method according to an embodiment of the present application. As shown in FIG2 , the method includes:

[0128] Optionally, S201, the first device determines (or generates or constructs) a polynomial exponential sequence.

[0129] The highest degree of the polynomial exponential sequence is greater than or equal to 4. For ease of description, the polynomial exponential sequence is hereinafter referred to as a D-degree polynomial exponential sequence, where D is a positive integer greater than or equal to four.

[0130] A D-order polynomial exponential sequence may include D order coefficients, namely: the highest order coefficient (e.g., the D-order coefficient), the next highest order coefficient (e.g., the D-1-order coefficient), ..., the quadratic coefficient, and the linear coefficient. Except for the highest order coefficient, which cannot be zero, some or all of the remaining order coefficients may be zero.

[0131] For example, taking the D-order polynomial exponential sequence as a quartic polynomial exponential sequence as an example, a quartic polynomial exponential sequence may include: a quartic term coefficient, a cubic term coefficient, a quadratic term coefficient, and a linear term coefficient.

[0132] For example, taking the D-order polynomial exponential sequence as a quintic polynomial exponential sequence as an example, a quintic polynomial exponential sequence may include: quintic term coefficients, quartic term coefficients, cubic term coefficients, quadratic term coefficients, and linear term coefficients.

[0133] Some degree coefficients in a D-order polynomial exponential sequence are associated with each other. For example, the highest degree coefficient of the D-order polynomial exponential sequence is associated with the first coefficient of the D-order polynomial exponential sequence, where the first coefficient is any one of the next highest degree coefficient of the D-order polynomial exponential sequence and the quadratic coefficient of the D-order polynomial exponential sequence.

[0134] In other words, the above-mentioned D-order polynomial exponential sequence includes three types of coefficients: the highest-order coefficient, the first coefficient, and the second coefficient. The second coefficient is the coefficient from the next highest-order coefficient to the quadratic coefficient, excluding the first coefficient. The highest-order coefficient is associated with the first coefficient. The present embodiment does not impose any restrictions on the second coefficient.

[0135] For example, the coefficient of the highest-order term of a D-degree polynomial exponential sequence is associated with the degree of the next-highest-order term of the D-degree polynomial exponential sequence;

[0136] For example, the highest-order coefficient of the D-order polynomial exponential sequence is associated with the quadratic coefficient of the D-order polynomial exponential sequence.

[0137] For example, taking the D-order polynomial exponential sequence as a quartic polynomial exponential sequence as an example, the first coefficient may be any one of the following:

[0138] The coefficient of the cubic term or the coefficient of the quadratic term.

[0139] Correspondingly, the coefficient of the quartic term of the quartic polynomial exponential sequence is associated with the coefficient of the cubic term or the coefficient of the quadratic term.

[0140] For example, taking the D-order polynomial exponential sequence as a quintic polynomial exponential sequence as an example, the first coefficient can be any one of the following:

[0141] The coefficient of the quartic term, the coefficient of the cubic term, or the coefficient of the quadratic term.

[0142] Correspondingly, the coefficient of the fifth-order term of the fifth-order polynomial exponential sequence is associated with the coefficient of the fourth-order term or the coefficient of the third-order term or the coefficient of the second-order term.

[0143] In an embodiment of the present application, there is a correlation between the above-mentioned first coefficient and the highest-order coefficient, including but not limited to: the value of the highest-order coefficient is correlated with the value of the first coefficient, or the value range of the first coefficient is related to the value range of the highest-order coefficient, etc.

[0144] For example, the highest-order coefficient of the D-order polynomial exponential sequence is T, and the first coefficient of the D-order polynomial exponential sequence is T·U, where both T and U are positive integers. Thus, the value of the first coefficient is related to the value of the highest-order coefficient.

[0145] For example, the value range of the highest-order coefficient of the D-order polynomial exponential sequence is {1, 2, …, T}, and the value range of the first coefficient of the D-order polynomial exponential sequence is {U, 2·U, …, T·U}, where T and U are both positive integers. Thus, the value range of the first coefficient is related to the value range of the highest-order coefficient.

[0146] By associating some of the order coefficients in the D-order polynomial exponential sequence, for example, associating the highest-order coefficient with the first coefficient, this helps avoid the occurrence of peaks within a certain range under any two polynomial exponents, thereby facilitating the distinction between different sequences and reducing strong interference between different sequences, thereby supporting the improvement of communication performance.

[0147] In one possible implementation, a first coefficient of the D-order polynomial exponential sequence is associated with a first parameter, where the first parameter is one of a maximum delay spread and a maximum Doppler spread.

[0148] Exemplarily, the first parameter is the maximum delay spread, and the first coefficient is the maximum delay spread.

[0149] Exemplarily, the first parameter is a maximum Doppler spread, and the first coefficient is associated with the maximum Doppler spread.

[0150] The first coefficient is associated with the first parameter, including but not limited to: the value of the first coefficient includes the first parameter, or the value range of the first coefficient is related to the value range of the first parameter.

[0151] For example, the maximum delay spread can be expressed as Δ T , the value of the first coefficient is T·U·Δ T .

[0152] For example, the maximum Doppler spread can be expressed as Δ F , the value of the first coefficient is T·U·Δ F .

[0153] By associating the first coefficient and the first parameter, it is advantageous to ensure that the correlation function of any two polynomial exponential sequences does not exceed a threshold within a certain range of the domain where the first parameter is located, thereby supporting improved communication performance.

[0154] In one possible implementation, the coefficient of the first term of the D-order polynomial exponential sequence is associated with a second parameter, the second parameter is one of a maximum Doppler spread and a maximum delay spread, and the first parameter is different from the second parameter.

[0155] Exemplarily, the first parameter is the maximum delay spread, and the second parameter is the maximum Doppler spread. Thus, the linear term coefficient is associated with the maximum Doppler spread.

[0156] For example, the first parameter is the maximum Doppler spread, and the second parameter is the maximum delay spread. Thus, the linear term coefficient is associated with the maximum delay spread.

[0157] By associating the linear term coefficient with the second parameter, it is advantageous to achieve that the correlation function of any two polynomial exponential sequences is equal to zero within a certain range of the domain where the second parameter is located, thereby supporting the improvement of communication performance.

[0158] In one possible implementation, the above-mentioned D-degree polynomial exponential sequence can be expressed as follows:

[0159] In formula (9), a D is the highest order coefficient, a D-1 is the coefficient of the second-highest term, a1 is the coefficient of the first term, and a0 is the constant term. Where, “…” represents the coefficients of other terms except the coefficient of the second-highest term and the first term. The first coefficient is a D-1 To any coefficient in a2, N is the sequence length, and N is a prime number.

[0160] The constant term a0 in formula (9) can be regarded as the sequence All symbols in are rotated by a common phase Since phase rotation does not change the correlation and ambiguity of the sequence, without loss of generality, when a0=0, the D-order polynomial exponential sequence degenerates into

[0161] In addition, the constant term a0 serves to shift the phase of the entire sequence, without changing the properties of the sequence. Therefore, this application does not limit whether the polynomial exponential sequence listed includes a constant term.

[0162] Through the above-mentioned polynomial sequence, the embodiment of the present application can support meeting the needs of users.

[0163] In one possible embodiment, the D-order polynomial exponential sequence includes a base sequence and an auxiliary sequence, or in other words, the D-order polynomial exponential sequence is a sequence composed of the base sequence and the auxiliary sequence. The base sequence satisfies the global single-peak characteristic, and the auxiliary sequence satisfies the large-capacity low-ambiguity region characteristic.

[0164] For example, the base sequence can be expressed as:

[0165] For example, the auxiliary sequence can be expressed as:

[0166] In other words, the D-degree polynomial exponential sequence can be expressed as In other words, the D-degree polynomial exponential sequence can be expressed as the point-by-point multiplication of the base sequence and the auxiliary sequence, where the sequence lengths of the base sequence and the auxiliary sequence are both N.

[0167] For example, the base sequence is The auxiliary sequence is The result of point-by-point multiplication of the base sequence and the auxiliary sequence is

[0168] In the embodiments of the present application, a base sequence is a sequence associated with a cell. For example, the same base sequence corresponds to the same cell, while different cells correspond to different base sequences. Alternatively, the same cell corresponds to multiple base sequences, while different cells 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 correspond to different auxiliary sequences.

[0169] By constructing a D-order polynomial exponential sequence based on the base sequence and the auxiliary sequence, different cells can be distinguished, as well as different terminal devices.

[0170] In the embodiment of the present application, the base sequence needs to meet the following conditions: the self-ambiguity function of the base sequence has a single peak characteristic in the delay-Doppler plane, and the mutual ambiguity function of the base sequence has no peak in the delay-Doppler plane.

[0171] In one possible implementation, the first coefficient of the D-order polynomial exponential sequence is the coefficient of the second-highest-order term of the D-order polynomial exponential sequence. This is advantageous in that the ambiguity function of any two polynomial exponential sequences within the maximum delay spread and maximum Doppler spread range is less than a threshold.

[0172] In a possible implementation, when time domain resources are used to map the polynomial exponential sequence, the first parameter is the maximum delay spread, and the second parameter is the maximum Doppler spread.

[0173] In this way, the first coefficient is associated with the maximum delay spread, and the first-order coefficient is associated with the maximum Doppler spread, which is conducive to achieving the low ambiguity zone feature, that is, the ambiguity function of any two polynomial exponential sequences within the maximum delay spread and maximum Doppler spread range does not exceed the threshold.

[0174] In a possible implementation, when frequency domain resources are used to map the polynomial exponential sequence, the first parameter is the maximum Doppler spread, and the second parameter is the maximum delay spread.

[0175] In this way, the first coefficient is associated with the maximum Doppler spread, and the first-order coefficient is associated with the maximum delay spread, which is conducive to achieving the low ambiguity zone feature, that is, the ambiguity function of any two polynomial exponential sequences within the maximum delay spread and maximum Doppler spread range does not exceed the threshold.

[0176] S202. The first device sends (or outputs or transmits) the polynomial exponential sequence.

[0177] Accordingly, the second device receives the polynomial exponential sequence.

[0178] The manner in which the first device sends the polynomial exponent sequence is related to the configuration of the first device and the configuration of the second device.

[0179] For example, the first device and the second device are deployed in the same device, such as the first device and the second device are both included in a terminal device, or the first device and the second device are both included in a network device. In this case, the "output" of the first device to the second device is an internal operation.

[0180] For example, the first device and the second device are deployed in different devices. For example, 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 can be understood as "sending" from the first device to the second device. Alternatively, the first device and the second device are not each part of the same terminal device. For example, the first device is deployed in a first terminal device, and the second device is deployed in a second terminal device.

[0181] When the first apparatus and the second apparatus are deployed on different devices, the first apparatus may send the polynomial exponential sequence to the second apparatus in the following two ways.

[0182] Method 1:

[0183] The first device maps the D-order polynomial exponential sequence to a time domain resource. The discrete time signal of the D-order polynomial exponential sequence is represented as: Δ T ×Δ F is the fuzzy area. “…” indicates that the value pattern of the undisplayed parameter is the same as that of the displayed parameter, for example, D-3 ∈{0,1,…,N-1}, etc.

[0184] It can be seen that the coefficient of the D-order term is related to the coefficient of the D-1-order term, and the coefficient of the D-1-order term is related to Δ T Correlation, linear coefficient and Δ F association.

[0185] It can be seen that the sequence capacity of the D-order polynomial sequence index is positively correlated with the D-order power of N, that is, in, Indicates rounding down. Compared with the existing quadratic polynomial exponential sequence, the D-order polynomial exponential sequence can meet the requirements of high sequence capacity.

[0186] When the first coefficient of the D-degree polynomial exponential sequence and Δ T Correlation, linear coefficient and Δ F This can make the D-order polynomial exponential sequence meet the low ambiguity zone characteristics.

[0187] Specifically, when two D-order polynomial exponential sequences are mapped using time domain resources, such as and The mutual ambiguity function of the two D-order polynomial exponential sequences can be expressed as:

[0188] In formula (13), τ∈[0,Δ T -1],ν∈[0,Δ F -1]. Where, d=3,4,…,D-2.

[0189] When λ D =μ D When ,…,λ1=μ1,τ=0,ν=0, the D-order polynomial exponential sequence can satisfy the global single-peak characteristic, that is, the fuzzy function of the D-order polynomial exponential sequence has a value of N only at the origin, and the other values ​​are all less than N.

[0190] When λ D =μ D ,…,λ2=μ2,τ=0,(λ1≠μ1)∨(ν≠0), the D-order polynomial exponential sequence can satisfy the Doppler domain zero correlation zone characteristics.

[0191] When λ D =μ D ,…,λ3=μ3,τ=0,λ2≠μ2, the D-order polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0192] When λ D =μ D ,…,λ d+1 =μ d+1 ,τ=0,λ d ≠μ d , the D-order polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0193] When λ D =μ D ,(λ D-1 ≠μ D-1 )∨(τ≠0), the D-order polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0194] When λ D ≠μ D , the D-order polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0195] From formula (13), we can see that the maximum value of the fuzzy function of the D-order polynomial exponential sequence does not exceed In this way, the D-order polynomial exponential sequence can satisfy the low ambiguity zone characteristics.

[0196] Since the D-order polynomial exponential sequence is a constant modulus sequence, mapping the D-order polynomial exponential sequence to time domain resources can reduce the peak-to-average power ratio.

[0197] Furthermore, taking D=4 as an example, the first device maps the quartic polynomial exponential sequence to the time domain resource. The discrete time signal of the quartic polynomial exponential sequence is represented as:

[0198] Among them, λ=λ4, μ=λ3, k=λ2, l=λ1.

[0199] It can be seen from formula (14) that the coefficient of the quartic term is related to the coefficient of the cubic term, and the coefficient of the cubic term is related to Δ T Correlation, linear coefficient and Δ F association.

[0200] Among them, the sequence capacity of the quartic polynomial exponential sequence is positively correlated with the fourth power of the sequence length of the quartic polynomial exponential sequence, that is,

[0201] When the first coefficient of the quartic polynomial exponential sequence and Δ T Correlation, linear coefficient and Δ F This can make the quartic polynomial exponential sequence meet the low ambiguity zone characteristics.

[0202] Specifically, when two quartic polynomial exponential sequences are mapped separately using time domain resources, such as, and The mutual ambiguity function of the two quartic polynomial sequences is expressed as:

[0203] In formula (15), τ∈[0,Δ T -1],ν∈[0,Δ F -1].

[0204] When λ1=λ2, μ1=μ2, k1=k2, l1=l2, τ=0, ν=0, the quartic polynomial exponential sequence can satisfy the global unimodal characteristic.

[0205] When λ1=λ2, μ1=μ2, k1=k2, τ=0, (l1≠l2)∨(ν≠0), the quartic polynomial exponential sequence can satisfy the Doppler domain zero correlation zone characteristics.

[0206] When λ D =μ D When ,…,λ3=μ3,τ=0,λ2≠μ2, the quartic polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0207] When λ1=λ2,μ1=μ2,τ=0,k1≠k2, the quartic polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0208] When λ1=λ2, (μ1≠μ2)∨(τ≠0), the quartic polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0209] When λ1≠λ2, the quartic polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0210] From formula (15), we can see that the maximum value of the fuzzy function of the quartic polynomial exponential sequence does not exceed In this way, the quartic polynomial exponential sequence can satisfy the low ambiguity zone characteristics.

[0211] Since the quartic polynomial exponential sequence is a constant modulus sequence, mapping the quartic polynomial exponential sequence to time domain resources can reduce the peak-to-average power ratio.

[0212] Method 2:

[0213] The first device maps the D-order polynomial exponential sequence to frequency domain resources. The discrete time signal of the D-order polynomial exponential sequence is represented as: Δ T ×Δ F is the fuzzy area. “…” indicates that the value pattern of the undisplayed parameter is the same as that of the displayed parameter, for example, D-3 ∈{0,1,…,N-1}, etc.

[0214] It can be seen that the coefficient of the D-order term is related to the coefficient of the D-1-order term, and the coefficient of the D-1-order term is related to Δ F Correlation, linear coefficient and Δ T association.

[0215] It can be seen that the sequence capacity of the D-order polynomial sequence index is positively correlated with the D-order power of N, that is, Compared with the quadratic polynomial exponential sequence, the D-order polynomial exponential sequence can meet the demand for high sequence capacity.

[0216] When the first coefficient of the D-degree polynomial exponential sequence and Δ F Correlation, linear coefficient and Δ T This can make the D-order polynomial exponential sequence meet the low ambiguity zone characteristics.

[0217] Specifically, when two D-order polynomial exponential sequences are mapped using frequency domain resources, such as and The mutual ambiguity function of the two D-order polynomial exponential sequences can be expressed as:

[0218] In formula (17), τ∈[0,Δ T -1],ν∈[0,ΔF -1]. Where, d=3,4,…,D-2.

[0219] When λ D =μ D ,…,λ1=μ1,τ=0,ν=0, the D-order polynomial exponential sequence can satisfy the global single-peak characteristic.

[0220] When λ D =μ D ,…,λ2=μ2,τ=0,(λ1≠μ1)∨(ν≠0), the D-order polynomial exponential sequence can satisfy the zero correlation zone characteristics in the delay domain.

[0221] When λ D =μ D ,…,λ3=μ3,τ=0,λ2≠μ2, the D-order polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0222] When λ D =μ D ,…,λ d+1 =μ d+1 ,τ=0,λ d ≠μ d , the D-order polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0223] When λ D =μ D ,(λ D-1 ≠μ D-1 )∨(τ≠0), the D-order polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0224] When λ D ≠μ D , the D-order polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0225] From formula (17), we can see that the maximum value of the ambiguity function of the D-order polynomial exponential sequence does not exceed (D-1)√N. In this way, the D-order polynomial exponential sequence can meet the low ambiguity zone characteristics.

[0226] Because a D-order polynomial exponential sequence is a constant modulus sequence, mapping it to frequency domain resources can satisfy the zero-correlation zone characteristic. Specifically, since a D-order polynomial exponential sequence is a constant modulus sequence, according to the Venerzinckian theorem, the mapping of a constant modulus sequence to frequency domain resources exhibits ideal time-domain autocorrelation characteristics. Therefore, mapping a D-order polynomial exponential sequence to frequency domain resources can create a zero-correlation zone.

[0227] 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.

[0228] Furthermore, taking D=4 as an example, the first device may map a quartic polynomial exponential sequence to frequency domain resources. The discrete time signal of the quartic polynomial exponential sequence is represented as:

[0229] Among them, λ=λ4, μ=λ3, k=λ2, l=λ1.

[0230] It can be seen that the coefficient of the quartic term in the quartic polynomial exponential sequence is associated with the coefficient of the cubic term, the coefficient of the cubic term is associated with the maximum delay spread, and the coefficient of the linear term is associated with the maximum Doppler spread.

[0231] It can be seen that the sequence capacity of the quartic polynomial exponential sequence is positively correlated with the fourth power of N, that is, Thus, compared to the existing sequence which is a quadratic polynomial exponential sequence, the D-order polynomial exponential sequence of the embodiment of the present application can meet the demand for high sequence capacity.

[0232] When the first coefficient of the quartic polynomial exponential sequence and Δ F Correlation, linear coefficient and Δ T This can make the quartic polynomial exponential sequence meet the low ambiguity zone characteristics.

[0233] Specifically, when two quartic polynomial exponential sequences are mapped using frequency domain resources, such as and The mutual ambiguity function of the two quartic polynomial exponential sequences can be expressed as:

[0234] In formula (19), τ∈[0,Δ T -1],ν∈[0,Δ F -1].

[0235] When λ1=λ2, μ1=μ2, k1=k2, l1=l2, τ=0, ν=0, the quartic polynomial exponential sequence can satisfy the global unimodal characteristic.

[0236] When λ1=λ2, μ1=μ2, k1=k2, τ=0, (l1≠l2)∨(ν≠0), the quartic polynomial exponential sequence can satisfy the zero correlation zone characteristics in the delay domain.

[0237] When λ D =μ D When ,…,λ3=μ3,τ=0,λ2≠μ2, the quartic polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0238] When λ1=λ2,μ1=μ2,τ=0,k1≠k2, the quartic polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0239] When λ1=λ2, (μ1≠μ2)∨(τ≠0), the quartic polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0240] When λ1≠λ2, the quartic polynomial exponential sequence can satisfy the low fuzzy zone characteristics.

[0241] From formula (19), we can see that the maximum value of the ambiguity function of the quartic polynomial exponential sequence does not exceed 3√N. In this way, the quartic polynomial exponential sequence can meet the low ambiguity zone characteristics.

[0242] Since the quartic polynomial exponential sequence is a constant modulus sequence, mapping the quartic polynomial exponential sequence to frequency domain resources can satisfy the zero correlation zone feature.

[0243] After the second device receives the polynomial exponential sequence, the second device needs to process the polynomial exponential sequence. The way the second device processes the polynomial exponential sequence is related to the form of the first device and the form of the second device.

[0244] For example, the first device and the second device are deployed in a terminal device, and the second device can process the polynomial exponential sequence. For example, the second device generates a signal according to the polynomial exponential sequence and sends the signal to the receiving end.

[0245] For example, the first device and the second device are deployed in a network device, and the second device can process the polynomial exponential sequence. For example, the second device generates a signal according to the polynomial exponential sequence and sends the signal to the receiving end.

[0246] For example, the first device is deployed in a terminal device, and the second device is deployed in a network device. The second device can process the polynomial exponential sequence. For example, when the polynomial exponential sequence is used for a physical random access channel, the second device performs correlation processing and matched filtering on the polynomial exponential sequence to determine the random access preamble code and round-trip delay and / or Doppler frequency shift; for another example, when the polynomial exponential sequence is used for DMRS, the second device performs correlation processing and matched filtering on the polynomial exponential sequence to use for channel estimation.

[0247] In the embodiment of the present application, when the first apparatus and the second apparatus are respectively deployed on different devices, the manner in which the first apparatus sends the polynomial exponential sequence to the second apparatus may include:

[0248] The first device determines indication information, where the indication information is used to indicate the polynomial exponential sequence.

[0249] For example, the first device may configure an index for each polynomial exponential sequence, and the correspondence between each polynomial exponential sequence and the index may be configured through protocol pre-configuration. The second device may determine the correspondence between each polynomial exponential sequence and the corresponding index according to the protocol. In this manner, the first device may send the indication information to the second device, and the second device may determine the polynomial exponential sequence based on the indication information.

[0250] For another example, the indication information may include one or more coefficients in the polynomial exponential sequence. In this way, the second device may determine the polynomial exponential sequence based on the one or more coefficients carried in the indication information.

[0251] Exemplarily, when the indication information may include all coefficients in the polynomial exponential sequence, the second device may determine the polynomial exponential sequence based on all the coefficients.

[0252] Exemplarily, when the indication information may include some coefficients in the polynomial exponential sequence, and the coefficients may be configured in a protocol configuration manner, the second device may determine the polynomial exponential sequence based on the pre-configured content of the protocol and the partial coefficients.

[0253] In summary, the embodiments of the present application do not limit the manner in which the first device indicates the polynomial exponential sequence to the second device.

[0254] It should be noted that the above-mentioned polynomial exponential sequence can have multiple uses. As one case, the polynomial exponential sequence can be used in the random access process of the terminal device, and the specific process will not be repeated here.

[0255] Finally, the device embodiment of the embodiment of the present application is introduced.

[0256] To implement the various functions of the method provided herein, the first device and the second device may each include hardware structures and / or software modules, and implement the aforementioned functions in the form of hardware structures, software modules, or a combination of hardware structures and software modules. Whether a particular function is implemented in the form of hardware structures, software modules, or a combination of hardware structures and software modules depends on the specific application and design constraints of the technical solution.

[0257] Figure 3 is a schematic block diagram of a communication device according to an embodiment of the present application. The communication device includes a processing circuit 310 and a transceiver circuit 320. The processing circuit 310 and the transceiver circuit 320 may be interconnected or coupled, for example, via a bus 330. The communication device may be a first device or a second device.

[0258] Optionally, the communication device may further include a memory 340. The memory 340 includes, but is not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), or portable read-only memory (CD-ROM), and is used for related instructions and data.

[0259] The processing circuit 310 may be all or part of the processing circuit in one or more processors, or one or more processors. The processor may be a central processing unit (CPU). When the processing circuit 310 is a CPU, the CPU may be a single-core CPU or a multi-core CPU. The processing circuit 310 may be a signal processor, a chip, or other integrated circuit that can implement the method of the present application, or a portion of the circuit for processing functions in the aforementioned processor, chip or integrated circuit. In addition, the transceiver circuit 320 may also be a transceiver, or an input / output interface, which is used for input or output of signals or data, and may also be referred to as an input / output circuit.

[0260] The communication device shown in FIG3 can be used to execute the method described in the foregoing method embodiment.

[0261] For example, the device shown in FIG3 is a first device, and the first device is used to execute the method related to the first device in the aforementioned method embodiment:

[0262] Exemplarily, the processing circuit 310 is used to determine the polynomial exponential sequence; the transceiver circuit 320 is used to send the polynomial exponential sequence to the second device. For the description of the polynomial exponential sequence, please refer to the above description and will not be repeated here.

[0263] The processing circuit 310 can also be used to determine the indication information described in the above method embodiment, and the transceiver circuit 320 can also be used to send the indication information to the second device. For the description of the indication information, please refer to the above text and will not be repeated here.

[0264] For example, the device shown in FIG3 is a second device, and the second device is used to execute the method related to the second device in the aforementioned method embodiment:

[0265] Exemplarily, the transceiver circuit 320 is configured to receive the polynomial exponential sequence from the first device; the processing circuit 310 is configured to process the polynomial exponential sequence. For a description of how to process the polynomial exponential sequence, please refer to the above description and will not be repeated here. For a description of the polynomial exponential sequence, please refer to the above description and will not be repeated here.

[0266] The transceiver circuit 320 may also be used to receive the indication information described in the aforementioned method embodiment from the first device, and the processing circuit 310 may also be used to determine the polynomial indication sequence according to the indication information.

[0267] The above description is only for illustrative purposes.

[0268] When the aforementioned communication device is the first device or the second device, it will be responsible for executing the methods or steps related to the first device or the second device in the aforementioned method embodiments.

[0269] When the communication device 300 is a first device or a second device, the transceiver circuit 320 may be a transceiver. When the communication device 300 is a chip for the first device or the second device, the transceiver circuit 320 may be an input / output circuit. The above description is merely an example.

[0270] For specific details, please refer to the contents shown in the above method embodiment.

[0271] The implementation of each operation in FIG3 may also correspond to the corresponding description of the method embodiment shown in FIG2 .

[0272] Figure 4 is a schematic block diagram of another communication device according to an embodiment of the present application. The communication device may be a first device or a second device, and is configured to implement the method according to the above embodiment.

[0273] The communication device includes a transceiver unit 410 and a processing unit 420. The transceiver unit 410 and the processing unit 420 are described below.

[0274] The transceiver unit 410 may include a transmitting unit and a receiving unit. The transmitting unit is used to perform the transmitting operation of the communication device, and the receiving unit is used to perform the receiving operation of the communication device. For ease of description, this embodiment of the application combines the transmitting unit and the receiving unit into a single transceiver unit. This is described here as a unified description and will not be repeated later.

[0275] The communication device shown in FIG4 can be used to execute the method described in the foregoing method embodiment.

[0276] For example, the device shown in FIG4 is a first device, and the first device is used to execute the method related to the first device in the aforementioned method embodiment:

[0277] Exemplarily, the processing unit 420 is configured to determine the polynomial exponential sequence; and the transceiver unit 410 is configured to send the polynomial exponential sequence to the second device. For a description of the polynomial exponential sequence, please refer to the above description and will not be repeated here.

[0278] The processing unit 420 may also be used to determine the indication information, and the transceiver unit 410 may also be used to send the indication information to the second device. For the description of the indication information, please refer to the above text and will not be repeated here.

[0279] For example, the device shown in FIG4 is a second device, and the second device is used to execute the method related to the second device in the aforementioned method embodiment:

[0280] Exemplarily, the transceiver unit 410 is configured to receive the polynomial exponential sequence from the first device; the processing unit 420 is configured to process the polynomial exponential sequence. For a description of how to process the polynomial exponential sequence, please refer to the above description and will not be repeated here. For a description of the polynomial exponential sequence, please refer to the above description and will not be repeated here.

[0281] The transceiver unit 410 may also be configured to receive the indication information described in the aforementioned method embodiment from the first device, and the processing unit 420 may also be configured to determine the polynomial indication sequence based on the indication information.

[0282] Optionally, the communication device further includes a storage unit 430, which can be used to store a program or code for executing the aforementioned method.

[0283] The transceiver unit in FIG. 4 may correspond to the transceiver circuit in FIG. 3 , and the processing unit in FIG. 4 may correspond to the processing circuit in FIG. 3 .

[0284] The device embodiments shown in Figures 3 and 4 are used to implement the content described in Figure 2. The specific execution steps and methods of the devices shown in Figures 3 and 4 can refer to the content described in the above method embodiments.

[0285] The present application also provides a chip including a processor configured to retrieve and execute instructions stored in a memory, so that a communication device equipped with the chip executes the methods described in the above examples. The memory may be integrated within the chip or located outside the chip.

[0286] The present application also provides another chip, comprising: an input interface, an output interface, and a processing circuit, wherein the input interface, the output interface, and the processor are connected via an internal connection path, and the processing circuit is used to execute the code in the memory. When the code is executed, the processing circuit is used to execute the method in each of the above examples. Optionally, the chip also includes a memory, which is used to store computer programs or code. The input interface and the output interface can be independent of each other, or can be integrated into an input and output interface.

[0287] The processing circuit may be all or part of the processing circuits in one or more processors, or one or more processors.

[0288] The present application also provides a processor for coupling with a memory, and for executing the methods and functions involving a network device or a terminal device in any of the above embodiments.

[0289] In another embodiment of the present application, a computer program product including instructions is provided. When the computer program product is run on a computer, the method of the above embodiment is implemented.

[0290] The present application also provides a computer program. When the computer program is executed in a computer, the method of the aforementioned embodiment is implemented.

[0291] In another embodiment of the present application, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a computer, the method described in the above embodiment is implemented.

[0292] It should be understood that in the embodiments of the present application, the processor may be a central processing unit (CPU), and the processor may also be 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, etc.

[0293] It should also be understood that the memory 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. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct RAM (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0294] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0295] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0296] Those skilled in the art will appreciate that the various exemplary units and algorithmic steps described in conjunction with the embodiments disclosed herein can be implemented using electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented using hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this application. Those skilled in the art will clearly understand that, for ease of description and brevity, the specific operating processes of the systems, devices, and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here. 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 illustrative. For example, the division of units is merely a logical functional division. In actual implementation, other divisions may be used, such as multiple units or components can be combined or integrated into another system, or some features can be omitted or not implemented. Furthermore, the coupling or direct coupling or communication connection shown or discussed between each other can be through some interface, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0297] The units described as separate components may or may not be physically separate, and the components displayed 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 the units may be selected according to actual needs to achieve the purpose of the present embodiment. In addition, the functional units in the various embodiments of the present application may be integrated into a processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. If the above functions are implemented in the form of software functional units and sold or used as independent products, they may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the portion that contributes to the prior art, or the portion of the technical solution, may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory, a random access memory, a magnetic disk, or an optical disk.

[0298] 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.

Claims

1. A communication method, characterized in that: include: Determine a polynomial exponential sequence, where the highest-order coefficient of the polynomial exponential sequence is associated with a first coefficient, the first coefficient is any one of the coefficients of the second-highest-order term to the coefficient of the quadratic term of the polynomial exponential sequence, and the degree of the polynomial exponential sequence is greater than or equal to 4; The polynomial exponential sequence is transmitted.

2. The method according to claim 1, characterized in that The first coefficient is associated with a first parameter, where the first parameter is one of a maximum delay spread and a maximum Doppler spread.

3. The method according to claim 2, characterized in that The coefficient of the first-order term of the polynomial exponential sequence is associated with a second parameter, where the second parameter is one of the maximum delay spread and the maximum Doppler spread, and the first parameter is different from the second parameter.

4. The method according to any one of claims 1 to 3, characterized in that The polynomial exponential sequence N is the sequence length of the polynomial exponential sequence, N is a prime number, D is the degree of the polynomial exponential sequence, a D ,a D-1 ,…,a1 are the coefficients of the D, D-1,…,1-order terms of the polynomial exponential sequence respectively.

5. The method according to claim 4, characterized in that The polynomial exponential sequence includes a base sequence and an auxiliary sequence The base sequence The auxiliary sequence 6. The method according to any one of claims 1 to 5, characterized in that The first coefficient is the coefficient of the second highest order term of the polynomial exponential sequence.

7. The method according to any one of claims 4 to 6, characterized in that The polynomial exponential sequence is mapped using time domain resources, the first parameter is the maximum delay spread, and the second parameter is the maximum Doppler spread.

8. The method according to claim 7, characterized in that The discrete-time signal of the polynomial exponential sequence is l D ∈{1,2,…,N-1}, l D-2 ,…,λ2∈{0,1,…,N-1}, Δ T represents the maximum delay spread, Δ F Indicates the maximum Doppler spread.

9. The method according to claim 8, characterized in that D=4, the discrete time signal of the polynomial exponential sequence is λ∈{1,2,…,N-1}, k∈{0,1,…,N-1}, 10. The method according to any one of claims 4 to 6, characterized in that The polynomial exponential sequence is mapped using frequency domain resources, the first parameter is the maximum Doppler spread, and the second parameter is the maximum delay spread.

11. The method according to claim 10, characterized in that The discrete-time signal of the polynomial exponential sequence is l D ∈{1,2,…,N-1}, l D-2 ,…,λ2∈{0,1,…,N-1}, Δ T represents the maximum delay spread, Δ F Indicates the maximum Doppler spread.

12. The method according to claim 11, characterized in that D=4, the discrete time signal of the polynomial exponential sequence is λ∈{1,2,…,N-1}, k∈{0,1,…,N-1}, 13. The method according to any one of claims 1 to 12, characterized in that The maximum value of the fuzzy function of the polynomial exponential sequence does not exceed N is the sequence length of the polynomial exponential sequence, and D is the degree of the polynomial exponential sequence.

14. The method according to any one of claims 1 to 13, characterized in that The sequence capacity of the polynomial exponential sequence is N is the sequence length of the polynomial exponential sequence, Δ T represents the maximum delay spread, Δ F Indicates the maximum Doppler spread.

15. The method according to any one of claims 1 to 14, characterized in that The method further comprises: Indication information is determined, where the indication information is used to indicate the polynomial exponential sequence.

16. The method according to claim 15, characterized in that The indication information includes one or more coefficients of the polynomial exponential sequence.

17. A communication device, characterized in that: include: a processing unit, configured to determine a polynomial exponential sequence, wherein a highest-order coefficient of the polynomial exponential sequence is associated with a first coefficient, the first coefficient being any one of a second-highest-order coefficient to a quadratic coefficient of the polynomial exponential sequence, and the degree of the polynomial exponential sequence being greater than or equal to 4; A transceiver unit is used to send the polynomial exponential sequence.

18. The device according to claim 17, characterized in that The first coefficient is associated with a first parameter, where the first parameter is one of a maximum delay spread and a maximum Doppler spread.

19. The device according to claim 18, characterized in that The coefficient of the first-order term of the polynomial exponential sequence is associated with a second parameter, where the second parameter is one of the maximum delay spread and the maximum Doppler spread, and the first parameter is different from the second parameter.

20. The device according to any one of claims 17 to 19, characterized in that The polynomial exponential sequence N is the sequence length of the polynomial exponential sequence, N is a prime number, D is the degree of the polynomial exponential sequence, a D ,a D-1 ,…,a1 are the coefficients of the D, D-1,…,1-order terms of the polynomial exponential sequence respectively.

21. The device according to claim 20, characterized in that The polynomial exponential sequence includes a base sequence and an auxiliary sequence The base sequence The auxiliary sequence 22. The device according to any one of claims 17 to 21, characterized in that The first coefficient is the coefficient of the second highest order term of the polynomial exponential sequence.

23. The device according to any one of claims 20 to 22, characterized in that The polynomial exponential sequence is mapped using time domain resources, the first parameter is the maximum delay spread, and the second parameter is the maximum Doppler spread.

24. The device according to claim 23, characterized in that The discrete-time signal of the polynomial exponential sequence is l D ∈{1,2,…,N-1}, l D-2 ,…,λ2∈{0,1,…,N-1}, Δ T represents the maximum delay spread, Δ F Indicates the maximum Doppler spread.

25. The device according to claim 24, characterized in that D=4, the discrete time signal of the polynomial exponential sequence is λ∈{1,2,…,N-1}, k∈{0,1,…,N-1}, 26. The device according to any one of claims 20 to 22, characterized in that The polynomial exponential sequence is mapped using frequency domain resources, the first parameter is the maximum Doppler spread, and the second parameter is the maximum delay spread.

27. The device according to claim 26, characterized in that The discrete-time signal of the polynomial exponential sequence is l D ∈{1,2,…,N-1}, l D-2 ,…,λ2∈{0,1,…,N-1}, Δ T represents the maximum delay spread, Δ F Indicates the maximum Doppler spread.

28. The device according to claim 27, characterized in that D=4, the discrete time signal of the polynomial exponential sequence is λ∈{1,2,…,N-1}, k∈{0,1,…,N-1}, 29. The device according to any one of claims 17 to 28, characterized in that The maximum value of the fuzzy function of the polynomial exponential sequence does not exceed N is the sequence length of the polynomial exponential sequence, and D is the degree of the polynomial exponential sequence.

30. The device according to any one of claims 17 to 29, characterized in that The sequence capacity of the polynomial exponential sequence is N is the sequence length of the polynomial exponential sequence, Δ T represents the maximum delay spread, Δ F Indicates the maximum Doppler spread.

31. The device according to any one of claims 17 to 30, characterized in that The processing unit is further configured to determine indication information, where the indication information is configured to indicate the polynomial exponential sequence.

32. The device according to claim 31, characterized in that The indication information includes one or more coefficients of the polynomial exponential sequence.

33. A communication device, characterized in that: comprising a processor configured to, by executing computer programs or instructions, or by executing logic circuits, The communication device is caused to execute the method according to any one of claims 1 to 16.

34. A computer-readable storage medium, characterized in that The computer readable storage medium stores a computer program or instruction. When the computer program or instruction is executed on a computer, The method according to any one of claims 1 to 16 is performed.

35. A computer program product, characterized in that Contains instructions that, when executed on a computer, The method according to any one of claims 1 to 16 is performed.

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