Synchronization Signal Configuration Method and System for 6G Cell-Free Massive Antenna Arrays

Abstract

The present invention provides a method and system for synchronizing signal configuration of a 6G cell-free massive antenna array, which relates to the technical field of 6G communication. The method includes obtaining a set of adjacent antenna transmission and reception nodes and a set of switched adjacent antenna transmission and reception nodes from the established topology map; taking the minimum interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes in the entire network as the objective function, and using the condition that the antenna transmission and reception nodes share a physical cell ID, the modulus values of the node IDs in the set of adjacent antenna transmission and reception nodes are mutually different, and the modulus values of the node IDs in the set of switched adjacent antenna transmission and reception nodes are mutually different as constraints, establishing and solving a synchronization signal configuration optimization model to obtain an identifier ID to minimize the interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes in the entire network. The present invention can effectively reduce the mutual interference between synchronization signals, ensure the success rate of synchronization and handover in the user's 6G network, and improve the user experience.

Description

Technical Field

[0001] The present invention relates to the technical field of 6G communication, and particularly to a synchronization signal configuration method and system for a 6G cell-free massive antenna array. Background Art

[0002] By integrating the advantages of various spatial technologies such as ultra-dense networks, distributed antenna systems, and multi-point cooperation, a cell-free massive multiple-input multiple-output (CF-MM) network without the concepts of traditional cells and cell boundaries has been proposed, also known as a cell-free massive antenna array network. Due to the natural advantages of the CF-MM network, CF-MM is considered a key and core technology for the upcoming 6G network, promising significant advantages such as huge data throughput, ultra-low latency, ultra-high reliability, high energy efficiency, and ubiquitous uniform coverage, and is expected to meet the future ubiquitous connection requirements and the growing data traffic demands of 6G, and address the challenges of 6G.

[0003] Currently, in CF-MM, each antenna transmission and reception point (TRP) shares a physical cell identity (PCI), which does not incur the handover overhead between traditional cells. Therefore, it can ensure a seamless mobility experience while guaranteeing a stable quality of service for users.

[0004] In existing 4G or 5G wireless communication protocol standards, synchronization signals are generated and transmitted based on the PCI. This will result in interference between the primary synchronization signals (PSS) or secondary synchronization signals (SSS) transmitted by different TRPs when generating them based on the existing wireless communication protocol standards, affecting the initial access of users or the synchronization success rate of users during cell handover, and thus leading to a decline in user experience. Summary of the Invention

[0005] To solve the problem in the above-mentioned existing technology that the transmitted synchronization signals interfere with each other, affecting the synchronization success rate of users and resulting in poor user experience, the present invention proposes a synchronization signal configuration method and system for a 6G cell-free massive antenna array, which can effectively reduce the interference between synchronization signals, ensure the synchronization and handover success rates of users in the 6G network, and improve the user experience.

[0006] To achieve the above technical effects, the technical solution of the present invention is as follows:

[0007] A method for configuring synchronization signals of a 6G cell-free massive MIMO array, comprising the following steps:

[0008] S1. Establish a topology graph of the cell-free massive MIMO array network suitable for 6G;

[0009] S2. Obtain the set of adjacent antenna transmission and reception nodes and the set of handover adjacent antenna transmission and reception nodes from the topology graph;

[0010] S3. Taking the minimum interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes in the whole network as the objective function, and taking the condition that the antenna transmission and reception nodes share a physical cell ID, the modulo values of the node IDs in the set of adjacent antenna transmission and reception nodes are different from each other, and the modulo values of the node IDs in the set of handover adjacent antenna transmission and reception nodes are different from each other as the constraint conditions, establish a synchronization signal configuration optimization model;

[0011] S4. Solve the synchronization signal configuration optimization model to obtain the optimal identifier ID assigned to different antenna transmission and reception nodes, and the identifier ID minimizes the interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes in the whole network.

[0012] Preferably, the cell-free massive MIMO array network includes a central control node, users, and multiple antenna transmission and reception nodes, and each antenna transmission and reception node shares a physical cell ID.

[0013] Preferably, the establishment of the topology graph of the cell-free massive MIMO array network suitable for 6G includes: taking each antenna transmission and reception node as a node of the topology graph, connecting the antenna transmission and reception nodes with lines to form the edges of the topology graph, and setting the weight of the edges, where the weight is determined by the interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes, to obtain the topology graph.

[0014] Preferably, the modulo values of the node IDs in the set of adjacent antenna transmission and reception nodes are different from each other for the nodes in the set of adjacent antenna transmission and reception nodes of the same antenna transmission and reception node, and the modulo values of the node IDs in the set of handover adjacent antenna transmission and reception nodes are different from each other for the nodes in the set of all antenna transmission and reception nodes as handover targets in the same physical cell ID.

[0015] Preferably, the interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes in the whole network is calculated as follows:

[0016]

[0017] where I i,jDenote the interference value of the i-th antenna transmission and reception node to the j-th antenna transmission and reception node, P i Denote the transmission power of the i-th antenna transmission and reception node when transmitting the primary synchronization signal or the secondary synchronization signal, PL i,j Denote the path loss from the i-th antenna transmission and reception node to the j-th antenna transmission and reception node. Of course, the interference I of each antenna transmission and reception node i,j Can also be obtained by measurement.

[0018] Preferably, the calculation expression of the objective function is as follows:

[0019]

[0020] Among them, ω u,v Denote the interference distance between the u-th antenna transmission and reception node and the v-th antenna transmission and reception node, x u,j Denote the discrete variable of the u-th antenna transmission and reception node, x v,j Denote the discrete variable of the v-th antenna transmission and reception node, L represents the path loss, and E represents the set of edges of the topology graph.

[0021] Preferably, the expression with the constraint that the antenna transmission and reception nodes share a physical cell number is:

[0022]

[0023] Among them, V represents the set of antenna transmission and reception nodes in the topology graph;

[0024] The expression with the constraint that the modulus values of the node IDs in the set of adjacent antenna transmission and reception nodes are different from each other is:

[0025]

[0026] Or

[0027] Among them, V adj Represents the set of adjacent antenna transmission and reception nodes in the topology graph;

[0028] The expression with the constraint that the modulus values of the node IDs in the set of handover adjacent antenna transmission and reception nodes are different from each other, as the constraint condition, is:

[0029]

[0030] Or

[0031] Among them, V ho_adj Represents the set of handover adjacent antenna transmission and reception nodes in the topology graph.

[0032] Preferably, the solution of the synchronization signal configuration optimization model includes:

[0033] S41. By converting the discrete variables in the synchronization signal configuration optimization model into continuous variables, converting the objective function of the synchronization signal configuration optimization model into a binary quadratic optimization objective function, and converting the constraint conditions of the synchronization signal configuration optimization model into binary quadratic constraint conditions, the binary quadratic optimization objective function and the binary quadratic constraint conditions form a binary quadratic optimization problem;

[0034] S42. Use a solver to find the solution that satisfies the binary quadratic constraint conditions in the binary quadratic optimization problem and optimizes the binary quadratic optimization objective function, and obtain the optimal identifier ID for different antenna transmission and reception node allocations.

[0035] The present invention also proposes a synchronization signal configuration system for a 6G cell-free massive MIMO antenna array, including:

[0036] A topology establishment module for establishing a topology graph composed of a cell-free massive MIMO antenna array network suitable for 6G;

[0037] An acquisition module for acquiring a set of adjacent antenna transmission and reception nodes and a set of handover adjacent antenna transmission and reception nodes from the topology graph;

[0038] A synchronization signal configuration optimization model establishment module for taking the minimum interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes in the whole network as the objective function, and taking the condition that the antenna transmission and reception nodes share a physical cell ID, the modulo values of the node IDs in the set of adjacent antenna transmission and reception nodes are different from each other, and the modulo values of the node IDs in the set of handover adjacent antenna transmission and reception nodes are different from each other as the constraint conditions, and establishing a synchronization signal configuration optimization model;

[0039] A solution module for solving the synchronization signal configuration optimization model to obtain the optimal identifier ID for different antenna transmission and reception node allocations, and the identifier ID minimizes the interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes in the whole network.

[0040] The present invention also proposes a computer device, including: a processor, a memory, a communication interface, and a communication bus, and the processor, the memory, and the communication interface complete communication with each other through the communication bus;

[0041] The memory is used to store at least one executable instruction, and the executable instruction causes the processor to execute the operations of the synchronization signal configuration method of the 6G cell-free massive MIMO antenna array as described above.

[0042] Compared with the prior art, the beneficial effects of the technical solution of the present invention are:

[0043] The present invention proposes a synchronization signal configuration method and system for a 6G cell-free massive MIMO antenna array, aiming to solve the problem that the synchronization signals transmitted and received by different antenna transmission and reception nodes in a cell-free massive MIMO antenna array network interfere with each other, affecting the synchronization success rate of users and resulting in poor user experience. First, a topology map in a cell-free massive MIMO antenna array network suitable for 6G is established; then, taking the minimum interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes as the objective function, and setting up the corresponding constraint adjustment for the objective function, so as to establish and solve a synchronization signal configuration optimization model, to minimize the interference of synchronization signals between different antenna transmission and reception nodes while ensuring the probability of successful synchronization access and handover of users, and to improve the experience of users in the cell-free massive MIMO antenna array network, further ensuring the compatibility of the synchronization signal of the 5G system with the CF-MM network, and meeting the design requirements of the future 6G network at the same time. Description of the Drawings

[0044] Figure 1 It shows the structure diagram of the cell-free massive MIMO antenna array network proposed in the embodiment of the present invention;

[0045] Figure 2 It shows the flowchart of a synchronization signal configuration method for a 6G cell-free massive MIMO antenna array proposed in the embodiment of the present invention;

[0046] Figure 3 It shows the flowchart of the identifier ID assignment of the antenna transmission and reception nodes in the CF-MM network proposed in the embodiment of the present invention;

[0047] Figure 4 It shows the structure diagram of the adjacent TRP set of the same TRP proposed in the embodiment of the present invention;

[0048] Figure 5 It shows the TRP coverage map along high-speed railways and the like proposed in the embodiment of the present invention;

[0049] Figure 6 It shows the structure block diagram of a synchronization signal configuration system for a 6G cell-free massive MIMO antenna array proposed in the embodiment of the present invention;

[0050] Figure 7 It shows the structure block diagram of a computer device proposed in the embodiment of the present invention.

[0051] 701. Processor; 702 Memory; 703. Communication interface; 704. Communication bus; 705. Executable instructions. Detailed Embodiments

[0052] The drawings are only for illustrative purposes and should not be construed as a limitation of this patent;

[0053] For those skilled in the art, it is understandable that some well-known content descriptions in the drawings may be omitted;

[0054] The technical solution of the present invention will be further described below in conjunction with the drawings and embodiments.

[0055] Embodiment 1

[0056] As Figure 1 shown, the cell-free massive MIMO network (CF-MM) includes a central control node (Central Processing Unit, CPU), a user, and multiple antenna transmission and reception nodes (TRPs). The difference between the cell-free massive MIMO network (CF-MM) and a typical traditional cellular cell lies in its cell-free architecture. Each antenna transmission and reception node (TRP) shares a physical cell identity (PCI). There are two advantages. Firstly, all TRPs are in the same physical cell identity, which is used for mobility and does not require complex cell handover operations. When a user moves between TRPs, data transmission will not be interrupted. Secondly, the cell-free cell and user-centric network can be efficiently integrated, eliminating the user edge effect of the cellular system and improving the user experience. Therefore, for CF-MM, it is considered that all TRPs share the same PCI.

[0057] However, in CF-MM, the direct problem caused by all TRPs sharing the same PCI is that the downlink synchronization signals sent by all TRPs in CF-MM cannot be separated either in the code domain, time domain, or frequency domain, resulting in mutual interference between the synchronization signals of different TRPs. Taking the 5G downlink synchronization signals, the primary synchronization signal (PSS) and the secondary synchronization signal (SSS) as an example, the reason why sharing the same PCI between different TRPs causes mutual interference will be explained. Further analysis of the above problem reveals the following essential reasons:

[0058] Firstly, in the 5G network specified by 3GPP, the PCI consists of the following two parts:

[0059]

[0060] Among them, is the physical cell ID group, with a value range of 0,..., 335, is the cell sector number, with values of 0, 1, 2.

[0061] The 5G PSS consists of a 127-symbol M sequence. The generation method of the M sequence is defined as follows:

[0062] d PSS (n) = 1 - 2x(m)

[0063]

[0064] 0 ≤ n < 127

[0065] Among them, dPSS(n) represents the nth symbol of the PSS sequence, and x(m) is a pseudo-random sequence; it can be seen from equation (2) that the generation of the PSS signal is determined based on the sector number of the PCI. If the PCIs of different TRPs are the same, their sector numbers must be the same. Therefore, the M sequences of the PSSs of different TRPs are the same. The generation of the secondary synchronization signal is also based on the M sequence of the PCI, and the principle is the same, so it will not be elaborated here. From the above description, it can be seen that the PSS and SSS are obtained based on the PCI. If the PCI is the same, the PSS and SSS sequences are the same. The PSS and SSS signals generated by different TRPs cannot be distinguished in the code domain.

[0066] In the time domain, according to the 5G standard, within each specific period T, at most L max synchronization signal blocks SSB can be sent for synchronization. Here, the synchronization signal block SSB includes the primary synchronization signal PSS, the secondary synchronization signal SSS, and the physical broadcast channel information PBCH. In 5G, the value of T can be set to 5 ms, 10 ms, 20 ms,..., 170 ms. If in each period, each TRP sends at most L max SSBs, it will also cause the problem that the PSS and SSS signals between different TRPs cannot avoid each other and collide with each other.

[0067] In the frequency domain, the center frequency point used by each TRP is also determined based on the PCI. In CF-MM, since all TRPs belong to the same cell and their PCIs are the same, therefore, the center frequency points for sending synchronization signals are also the same, resulting in the PSS and SSS sent by different TRPs multiplexing the same frequency band. Therefore, the PSS / SSS of different TRPs collide in the frequency domain.

[0068] For CF-MM, since different TRPs share the same PCI, the synchronization signals of different TRPs cannot be distinguished in the code domain, time domain, and frequency domain, resulting in interference between the synchronization signals sent by different TRPs, affecting the user synchronization success rate and resulting in poor user experience.

[0069] To solve the above problems, referring to Figure 2 and Figure 3 This embodiment proposes a synchronization signal configuration method for a 6G cell-free massive MIMO antenna array, including the following steps:

[0070] S1. Establish a topology map suitable for the 6G cell-free massive MIMO antenna array network composition;

[0071] In S1, the topology graph of the cell-free massive MIMO antenna array network suitable for 6G is established, including: based on the location information of the antenna transmission and reception nodes in the actual deployment, that is, the longitude and latitude information of the antenna transmission and reception nodes, each antenna transmission and reception node is used as a node of the topology graph, and the antenna transmission and reception nodes are connected by lines to form the edges of the topology graph, and the weights of the edges are set. The weights are determined by the interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes, and the topology graph is obtained.

[0072] S2. Obtain the set of adjacent antenna transmission and reception nodes and the set of handover adjacent antenna transmission and reception nodes from the topology graph;

[0073] In S2, the modulus values of the node IDs in the set of adjacent antenna transmission and reception nodes are different from each other, and the modulus values of the node IDs in the set of adjacent antenna transmission and reception nodes for the same antenna transmission and reception node are different from each other. The modulus values of the node IDs in the set of handover adjacent antenna transmission and reception nodes are different from each other, and the modulus values of the node IDs in the set of all antenna transmission and reception nodes as handover targets in the same physical cell number are different from each other.

[0074] S3. Taking the minimum interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes in the whole network as the objective function, and taking the condition that the antenna transmission and reception nodes share the same physical cell number, the modulus values of the node IDs in the set of adjacent antenna transmission and reception nodes are different from each other, and the modulus values of the node IDs in the set of handover adjacent antenna transmission and reception nodes are different from each other as the constraint conditions, a synchronization signal configuration optimization model is established;

[0075] In S3, first, the CPU node in CF-MM is used to obtain the cell frequency point information, and the maximum number L of synchronization signal blocks SSB sent within a specific period is set according to the cell frequency point information in the 5G protocol. max ; In the case of sending up to L max synchronization signal blocks SSB for synchronization, based on the distances between the TRPs, the interference matrix between the TRPs is calculated and measured; if there is no measurement value, the interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes is calculated as follows:

[0076]

[0077] where, I i,j represents the interference value of the i-th antenna transmission and reception node to the j-th antenna transmission and reception node, P i represents the transmission power of the i-th antenna transmission and reception node when transmitting the primary synchronization signal or the secondary synchronization signal, and PL i,j represents the path loss from the i-th antenna transmission and reception node to the j-th antenna transmission and reception node.

[0078] Similarly, the interference calculation of the j-th antenna transmission and reception node on the i-th antenna transmission and reception node is as follows:

[0079]

[0080] After obtaining the interference values between pairs, an interference matrix composed of the interference values between all TRPs can be obtained.

[0081] See Figure 4 , in CF-MM, the TRPs adjacent to TRP A are TRP B and TRP C. To ensure no confusion occurs during user handover, it is necessary to ensure that the IDs of TRP B and TRP C are different in the actual TRP ID numbers. Therefore, according to the information in the topology diagram and the interference information between TRPs, the IDs of TRPs are allocated, aiming to minimize the interference of PSS and SSS between adjacent TRPs. Taking the minimum interference of the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes as the objective function, the calculation expression of the objective function is as follows:

[0082]

[0083] Among them, ω u,v represents the interference distance between the u-th antenna transmission and reception node and the v-th antenna transmission and reception node, x u,j represents the discrete variable of the u-th antenna transmission and reception node, x v,j represents the discrete variable of the v-th antenna transmission and reception node, L represents the path loss, and E represents the set of edges of the topology diagram.

[0084] The expression with the constraint that the antenna transmission and reception nodes share a physical cell number is:

[0085]

[0086] Among them, V represents the set of antenna transmission and reception nodes in the topology diagram;

[0087] The expression with the constraint that the modulus values of the IDs of the nodes in the set of adjacent antenna transmission and reception nodes are different from each other is:

[0088]

[0089] Or

[0090] Among them, V adj represents the set of adjacent antenna transmission and reception nodes in the topology diagram;

[0091] The expression with the constraint that the modulus values of the IDs of the nodes in the set of handover adjacent antenna transmission and reception nodes are different from each other is the constraint expression:

[0092]

[0093] or

[0094] wherein, V ho_adj represents the set of switched adjacent antenna transmission and reception nodes in the topology graph.

[0095] S4. Solve the synchronization signal configuration optimization model to obtain the optimal identifier ID for the allocation of different antenna transmission and reception nodes, where the identifier ID minimizes the interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes.

[0096] In S4, the solving of the synchronization signal configuration optimization model includes:

[0097] S41. Perform relaxation processing on the discrete variables x u,j , x v,j . By converting the discrete variables x u,j , x v,j in the synchronization signal configuration optimization model into continuous variables, convert the objective function of the synchronization signal configuration optimization model into a binary quadratic optimization objective function, and convert the constraint conditions of the synchronization signal configuration optimization model into binary quadratic constraint conditions. The binary quadratic optimization objective function and the binary quadratic constraint conditions form a binary quadratic optimization problem;

[0098] S42. Use a solver to find the solution that satisfies the binary quadratic constraint conditions in the binary quadratic optimization problem and optimizes the binary quadratic optimization objective function, and obtain the optimal identifier ID for the allocation of different antenna transmission and reception nodes; wherein the solver is a Gruobi solver or a solver based on the branch and bound method.

[0099] A synchronization signal configuration method for a 6G cell-free massive MIMO array proposed in this embodiment aims to solve the problem that the synchronization signals sent by different antenna transmission and reception nodes in a cell-free massive MIMO array network interfere with each other, affecting the user synchronization success rate and resulting in a poor user experience. First, a topology graph suitable for a 6G cell-free massive MIMO array network is established; then, taking the minimum interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes as the objective function, and setting up the corresponding constraint adjustment for the objective function, so as to establish and solve the synchronization signal configuration optimization model, to minimize the interference between synchronization signals of different antenna transmission and reception nodes while ensuring the probability of successful user synchronization access and handover, and to improve the user experience in the cell-free massive MIMO array network, further ensuring the compatibility between the synchronization signal of the 5G system and the CF-MM network, and meeting the design requirements of the future 6G network at the same time.

[0100] Embodiment 2

[0101] To further illustrate the actual application scenarios of a synchronization signal configuration method for a 6G cell-free massive MIMO antenna array proposed in the above embodiments, and to verify that the synchronization signal configuration method for a 6G cell-free massive MIMO antenna array proposed in the above embodiments can effectively reduce the mutual interference between synchronization signals, ensure the user synchronization success rate, and improve the user experience.

[0102] Scenario 1 is the coverage along high-speed railways, etc. For scenarios of railway, highway, and coastal line coverage, considering the particularity of their coverage requirements, the antenna transmission and reception nodes are deployed along the line. In this scenario, the topological connection relationship between TRPs in CF-MM is relatively simple. For this situation, the interference matrix between TRPs is also relatively simple. For the ID assignment of TRPs, there are two methods: manual assignment and automatic assignment. For manual assignment, refer to Figure 5 , at this time, it can be ensured that the IDs between adjacent TRPs are different. At the same time, the TRP IDs in the set of adjacent TRPs of the same TRP are different. The manual assignment step first establishes a topological graph in the cell-free massive MIMO antenna array network suitable for 6G, then obtains the set of adjacent antenna transmission and reception nodes and the set of handover adjacent antenna transmission and reception nodes from the topological graph, then obtains the configuration information of the cell frequency point information, and finally deploys the interference between different TRPs manually.

[0103] For automatic assignment, the steps of the synchronization signal configuration method for a 6G cell-free massive MIMO antenna array proposed in the above embodiments are used at this time. Only the calculation process is given by an algorithm. Subsequently, based on the final result of the algorithm calculation, the maintenance personnel can make fine-tuning to ensure consistency with Figure 5 is fine.

[0104] Scenario 2 is crowded areas such as stadiums, commercial centers, and airports.

[0105] Scenario 2 is the key scenario for CF-MM deployment. Limited by the actual computing power, when using either the branch and bound method or the Gruobi-based method to solve the synchronization signal configuration optimization model, for scenarios with a large number of TRPs, such as more than 200, or even 1000, the solution time will be very long, exceeding 1 day, and the obtained solution is a sub-optimal solution. When the number of TRPs is less than 200, the solution is fast and the optimal solution can be obtained. At this time, the following idea can be adopted. For densely populated areas such as stadiums, the entire area of users can be divided into several independent sub-areas, and then the TRP ID allocation problem within each sub-area can be planned and solved according to the above process. For example, for a stadium, the entire area can be divided into four areas: east, west, south, and north. For commercial areas, each floor of the commercial building can be partitioned to ensure that the number of TRPs in each sub-area is less than 200, so that the solution can be quickly obtained based on the previous scheme.

[0106] Scenario 3 is a dense urban area. The processing of Scenario 3 is similar to that of a stadium. After dividing the dense urban area by administrative region, the TRP IDs can be allocated according to the deployment method of the stadium.

[0107] Through the practical application of a synchronization signal configuration method for a 6G cell-free massive MIMO antenna array proposed in the above embodiments in three scenarios, it is found that the mutual interference between synchronization signals can be effectively reduced in the corresponding scenarios, ensuring the synchronization success rate of users and improving the user experience.

[0108] Embodiment 3

[0109] See Figure 6 , this embodiment proposes a synchronization signal configuration system for a 6G cell-free massive MIMO antenna array, including:

[0110] A topology establishment module, used to establish a topology map suitable for the network composition of a 6G cell-free massive MIMO antenna array;

[0111] An acquisition module, used to acquire the set of adjacent antenna transmission and reception nodes and the set of handover adjacent antenna transmission and reception nodes from the topology map;

[0112] A synchronization signal configuration optimization model establishment module, used to take the minimum interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes in the entire network as the objective function, and take the condition that the antenna transmission and reception nodes share a physical cell ID, the modulo values of the node IDs in the set of adjacent antenna transmission and reception nodes are different from each other, and the modulo values of the node IDs in the set of handover adjacent antenna transmission and reception nodes are different from each other as constraints, and establish a synchronization signal configuration optimization model;

[0113] A solution module for solving the synchronization signal configuration optimization model to obtain the optimal identifier ID for different antenna transmission and reception node allocations, where the identifier ID minimizes the interference between the primary synchronization signal and the secondary synchronization signal among adjacent antenna transmission and reception nodes in the entire network.

[0114] A synchronization signal configuration system for a 6G cell-free massive MIMO proposed in this embodiment aims to solve the problem that the synchronization signals sent by different antenna transmission and reception nodes in a cell-free massive MIMO network interfere with each other, affecting the user synchronization success rate and resulting in poor user experience. First, a topology graph suitable for a 6G cell-free massive MIMO network is established; then, the minimum interference between the primary synchronization signal and the secondary synchronization signal among adjacent antenna transmission and reception nodes is used as the objective function, and corresponding constraint adjustments for the objective function are set, thereby establishing and solving a synchronization signal configuration optimization model to minimize the interference of synchronization signals between different antenna transmission and reception nodes while ensuring the probability of successful user synchronization access and handover, improving the user experience in a cell-free massive MIMO network, further ensuring the compatibility of the synchronization signal of the 5G system with the CF-MM network, and meeting the design requirements of the future 6G network.

[0115] Embodiment 4

[0116] See Figure 7 In this embodiment, a computer device is also proposed, including: a processor 701, a memory 702, a communication interface 703, and a communication bus 704. The processor 701, the memory 702, and the communication interface 703 complete communication with each other through the communication bus 704;

[0117] Among them: The processor 701, the memory 702, and the communication interface 703 complete communication with each other through the communication bus 704. The communication interface 703 is used for network communication with other devices such as clients or other servers. The processor 701 is used to execute executable instructions 705, and specifically can execute the relevant steps in the embodiment of the synchronization signal configuration method for a 6G cell-free massive MIMO described above.

[0118] Specifically, the executable instructions 705 may include program code. The processor 701 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present invention. The computer device includes one or more processors, which may be of the same type of processor, such as one or more CPUs; or may be of different types of processors, such as one or more CPUs and one or more ASICs.

[0119] A memory 702 for storing executable instructions 705. The memory 702 may include high-speed RAM memory and may also include non-volatile memory, such as at least one disk memory.

[0120] The executable instructions 705 can be specifically called by the processor 701 to cause the computer device to perform the following operations:

[0121] S1. Establish a topology map composed of a cell-free massive MIMO network suitable for 6G;

[0122] S2. Obtain a set of adjacent antenna transmission and reception nodes and a set of handover adjacent antenna transmission and reception nodes from the topology map;

[0123] S3. Taking the minimum interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes in the whole network as the objective function, and taking the condition that the antenna transmission and reception nodes share a physical cell ID, the modulus values of the node IDs in the set of adjacent antenna transmission and reception nodes are mutually different, and the modulus values of the node IDs in the set of handover adjacent antenna transmission and reception nodes are mutually different as constraints, establish a synchronization signal configuration optimization model;

[0124] S4. Solve the synchronization signal configuration optimization model to obtain the optimal identifier ID assigned to different antenna transmission and reception nodes, and the identifier ID minimizes the interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes in the whole network.

[0125] In this embodiment, it aims to solve the problem that the synchronization signals sent by different antenna transmission and reception nodes in the cell-free massive MIMO network interfere with each other, affecting the user synchronization success rate and resulting in poor user experience. First, establish a topology map in the cell-free massive MIMO network suitable for 6G; then take the minimum interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes as the objective function, and set the corresponding constraint adjustment for the objective function, so as to establish and solve the synchronization signal configuration optimization model, minimize the interference between synchronization signals of different antenna transmission and reception nodes while ensuring the probability of successful user synchronization access and handover, improve the user experience in the cell-free massive MIMO network, further ensure the compatibility of the synchronization signal of the 5G system with the CF-MM network, and meet the design requirements of the future 6G network at the same time.

[0126] Obviously, the above embodiments of the present invention are only examples for clearly illustrating the present invention, rather than limitations on the implementation manners of the present invention. For those of ordinary skill in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation manners here. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the claims of the present invention.

Claims

1. A synchronization signal configuration method for a 6G cell-free massive antenna array, characterized in that Including the following steps: S1. Establish a topology graph composed of a cell-free massive MIMO antenna array network suitable for 6G; S2. Obtain a set of adjacent antenna transmission and reception nodes and a set of handover adjacent antenna transmission and reception nodes from the topology graph; S3. Taking the minimum interference between primary synchronization signals and secondary synchronization signals between adjacent antenna transmission and reception nodes in the entire network as the objective function, and taking the condition that the antenna transmission and reception nodes share the same physical cell ID, the modulo values of the IDs of the nodes in the set of adjacent antenna transmission and reception nodes are mutually different, and the modulo values of the IDs of the nodes in the set of handover adjacent antenna transmission and reception nodes are mutually different as the constraint conditions, establish a synchronization signal configuration optimization model; the calculation expression of the objective function is as follows: Among them, represents the interference distance between the u th antenna transmission and reception node and the v th antenna transmission and reception node, represents the discrete variable of the u th antenna transmission and reception node, represents the discrete variable of the v th antenna transmission and reception node, L represents the path loss, represents the set of edges of the topology graph; The expression with the condition that the antenna transmission and reception nodes share the same physical cell ID as the constraint is: Among them, represents the set of antenna transmission and reception nodes in the topology graph; The expression with the condition that the modulo values of the IDs of the nodes in the set of adjacent antenna transmission and reception nodes are mutually different as the constraint is: or Among them, represents the set of adjacent antenna transmission and reception nodes in the topological graph; The expression with the condition that the modulo values of the IDs of the nodes in the set of handover adjacent antenna transmission and reception nodes are mutually different as the constraint is: Or Among them, represents the set of switched adjacent antenna transmission and reception nodes in the topology graph; S4. Solve the synchronization signal configuration optimization model to obtain the optimal identifier ID assigned to different antenna transmission and reception nodes, where the identifier ID minimizes the interference between primary synchronization signals and secondary synchronization signals between adjacent antenna transmission and reception nodes in the entire network; The solving of the synchronization signal configuration optimization model includes: S41. By converting the discrete variables in the synchronization signal configuration optimization model into continuous variables, convert the objective function of the synchronization signal configuration optimization model into a binary quadratic optimization objective function, and convert the constraint conditions of the synchronization signal configuration optimization model into binary quadratic constraint conditions. The binary quadratic optimization objective function and the binary quadratic constraint conditions form a binary quadratic optimization problem; S42. Use a solver to find the solution that satisfies the binary quadratic constraint conditions in the binary quadratic optimization problem and optimizes the binary quadratic optimization objective function, and obtain the optimal identifier ID assigned to different antenna transmission and reception nodes.

2. The synchronization signal configuration method of the 6G cell-free massive MIMO antenna array according to claim 1, characterized in that The cell-free massive MIMO antenna array network includes a central control node, users, and multiple antenna transmission and reception nodes, and each antenna transmission and reception node shares the same physical cell ID.

3. The synchronization signal configuration method of the 6G cell-free massive MIMO antenna array according to claim 2, characterized in that, The establishment of the topology graph composed of a cell-free massive MIMO antenna array network suitable for 6G includes: taking each antenna transmission and reception node as a node of the topology graph, connecting the antenna transmission and reception nodes with lines to form the edges of the topology graph, and setting the weights of the edges. The weights are determined by the interference between primary synchronization signals and secondary synchronization signals between adjacent antenna transmission and reception nodes to obtain the topology graph.

4. The synchronization signal configuration method for the 6G cell-free massive MIMO antenna array according to claim 2, characterized in that, The modulo values of the IDs of the nodes in the set of adjacent antenna transmission and reception nodes being mutually different means that the modulo values of the IDs of the nodes in the set of adjacent antenna transmission and reception nodes of the same antenna transmission and reception node are mutually different, and the modulo values of the IDs of the nodes in the set of handover adjacent antenna transmission and reception nodes being mutually different means that the modulo values of the IDs of the nodes in the set of all antenna transmission and reception nodes as handover targets in the same physical cell ID are mutually different.

5. The synchronization signal configuration method for a 6G cell-free massive MIMO antenna array according to claim 2, characterized in that, The calculation of the interference between primary synchronization signals and secondary synchronization signals between adjacent antenna transmission and reception nodes in the entire network is as follows: Among them, represents the interference value of the i-th antenna transmission and reception node to the j-th antenna transmission and reception node, represents the transmission power of the i-th antenna transmission and reception node when transmitting the primary synchronization signal or the secondary synchronization signal, represents the path loss from the i-th antenna transmission and reception node to the j-th antenna transmission and reception node.

6. A synchronization signal configuration system for a 6G cell-free massive antenna array, characterized in that, Including: A topology establishment module, configured to establish a topology graph composed of a cell-free massive MIMO network suitable for 6G; An acquisition module, configured to acquire a set of adjacent antenna transmission and reception nodes and a set of handover adjacent antenna transmission and reception nodes from the topology graph; A synchronization signal configuration optimization model establishment module, configured to use the minimum interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes in the entire network as the objective function, and use the fact that the antenna transmission and reception nodes share a physical cell ID, the modulo values of the node IDs in the set of adjacent antenna transmission and reception nodes are different from each other, and the modulo values of the node IDs in the set of handover adjacent antenna transmission and reception nodes are different from each other as constraint conditions to establish a synchronization signal configuration optimization model; the calculation expression of the objective function is as follows: Among them, represents the interference distance between the u th antenna transmission and reception node and the v th antenna transmission and reception node, represents the discrete variable of the u th antenna transmission and reception node, represents the discrete variable of the v th antenna transmission and reception node, and L represents the path loss, represents the set of edges of the topology graph; The expression with the constraint that the antenna transmission and reception nodes share a physical cell ID is: Among them, represents the set of antenna transmission and reception nodes in the topology diagram; The expression with the constraint that the modulo values of the node IDs in the set of adjacent antenna transmission and reception nodes are different from each other is: or Among them, represents the set of adjacent antenna transmission and reception nodes in the topological graph; The expression with the constraint that the modulo values of the node IDs in the set of handover adjacent antenna transmission and reception nodes are different from each other is: or Among them, represents the set of switched adjacent antenna transmission and reception nodes in the topology graph; A solution module, configured to solve the synchronization signal configuration optimization model to obtain the optimal identifier ID assigned to different antenna transmission and reception nodes, and the identifier ID minimizes the interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and reception nodes in the entire network; The solving of the synchronization signal configuration optimization model includes: S41. By converting the discrete variables in the synchronization signal configuration optimization model into continuous variables, converting the objective function of the synchronization signal configuration optimization model into a binary quadratic optimization objective function, and converting the constraint conditions of the synchronization signal configuration optimization model into binary quadratic constraint conditions, the binary quadratic optimization objective function and the binary quadratic constraint conditions form a binary quadratic optimization problem; S42. Using a solver to find a solution that satisfies the binary quadratic constraint conditions in the binary quadratic optimization problem and optimizes the binary quadratic optimization objective function, to obtain the optimal identifier ID assigned to different antenna transmission and reception nodes.

7. A computer device, characterized in that, It includes: A processor, a memory, a communication interface, and a communication bus. The processor, the memory, and the communication interface complete communication with each other through the communication bus; The memory is used to store at least one executable instruction, and the executable instruction causes the processor to execute the operations of the synchronization signal configuration method for a 6G cell-free massive MIMO as described in any one of claims 1-5.

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