Synchronization signal configuration method and system of 6G cellular-free large-scale antenna array

Abstract

The invention provides a synchronization signal configuration method and system for a 6G cellular-free large-scale antenna array, and relates to the technical field of 6G communication, and the method comprises the steps: obtaining an adjacent antenna transmission receiving node set from an established topological graph, and switching the adjacent antenna transmission receiving node set; the minimum interference of a main synchronization signal and an auxiliary synchronization signal between adjacent antenna transmission receiving nodes in the whole network is used as a target function, and the antenna transmission receiving nodes share a physical cell number. Establishing a synchronization signal configuration optimization model and solving the synchronization signal configuration optimization model under the constraint conditions that the ID module values of the nodes in the adjacent antenna transmission and reception node sets are mutually different and the ID module values of the nodes in the adjacent antenna transmission and reception node sets are switched to be mutually different; and obtaining the identifier ID so as to minimize the interference of the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission receiving nodes in the whole network. According to the invention, the mutual interference between the synchronization signals can be effectively reduced, the synchronization and switching success rate in a user 6G network is ensured, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of 6G communications, and in particular to a synchronization signal configuration method and system for a 6G non-cellular large-scale antenna array. Background Art

[0002] Combining the advantages of ultra-dense networks, distributed antenna systems, and multi-point collaboration, people have proposed an ultra-dense cell-free massive multiple-input multiple-output (Cell-free Massive MIMO, CF-MM) network without the concept of traditional cells and cell boundaries, also known as a cell-free massive antenna array network. Due to the natural advantages of the cell-free massive antenna array network CF-MM, CF-MM is considered to be the key and core technology of the upcoming 6G network, which is expected to bring important advantages such as huge data throughput, ultra-low latency, ultra-high reliability, high energy efficiency, and ubiquitous uniform coverage. It is expected to meet the future ubiquitous connection needs and the growing data traffic needs of 6G, and to meet the challenges of 6G.

[0003] Currently, in CF-MM, each antenna transmission reception point (TRP) shares a physical cell identity (PCI) and does not generate switching overhead between traditional cells, so it can ensure a seamless mobility experience while ensuring stable service quality for users.

[0004] In the existing 4G or 5G wireless communication protocol standards, the synchronization signal is generated and sent based on PCI, which will result in the generation of primary synchronization signals (PSS) or secondary synchronization signals (SSS) sent by different TRPs based on the existing wireless communication protocol standards. They will interfere with each other, affecting the user's initial access or synchronization success rate during cell switching, thereby reducing the user experience. Summary of the invention

[0005] In order to solve the problem in the above-mentioned prior art that the sent synchronization signals interfere with each other, affect the user synchronization success rate, and cause poor user experience, the present invention proposes a synchronization signal configuration method and system for a 6G non-cellular large-scale antenna array, which can effectively reduce the mutual interference between synchronization signals, ensure the synchronization and switching success rate of users in the 6G network, and improve the user experience.

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

[0007] A synchronization signal configuration method for a 6G non-cellular large-scale antenna array comprises the following steps:

[0008] S1. Establish a topology diagram of a cellular-free large-scale antenna array network suitable for 6G;

[0009] S2. Obtaining a set of adjacent antenna transmission receiving nodes from the topology map and switching a set of adjacent antenna transmission receiving nodes;

[0010] S3. Taking the minimum interference between the primary synchronization signal and the secondary synchronization signal between the adjacent antenna transmission and receiving nodes in the entire network as the objective function, and taking the antenna transmission and receiving nodes sharing a physical cell number, the ID module values ​​of each node in the adjacent antenna transmission and receiving node set being different, and the ID module values ​​of each node in the switching adjacent antenna transmission and receiving node set being different as constraints, a synchronization signal configuration optimization model is established;

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

[0012] Preferably, the non-cellular large-scale antenna 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 number.

[0013] Preferably, the establishment of a topological graph of a cellular-free large-scale antenna array network suitable for 6G includes: taking each antenna transmission and receiving node as a node of the topological graph, connecting the antenna transmission and receiving nodes with lines to form edges of the topological graph, and setting edge weights, wherein the weights are determined by the interference of the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and receiving nodes, thereby obtaining the topological graph.

[0014] Preferably, the different modulus values ​​of the node IDs in the adjacent antenna transmission receiving node sets mean that the modulus values ​​of the node IDs in the adjacent antenna transmission receiving node sets of the same antenna transmission receiving node are different from each other, and the different modulus values ​​of the node IDs in the switched adjacent antenna transmission receiving node sets mean that the modulus values ​​of the node IDs in all antenna transmission receiving node sets that serve as switching targets in the same physical cell number are different from each other.

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

[0016]

[0017] Among them, I i,jrepresents the interference value of the i-th antenna transmission receiving node to the j-th antenna transmission receiving node, P i Indicates the transmission power of the i-th antenna transmission receiving node when transmitting the primary synchronization signal or the secondary synchronization signal, PL i,j represents the path loss from the i-th antenna transmission receiving node to the j-th antenna transmission receiving node. Of course, the interference I i,j It can also be obtained through measurement.

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

[0019]

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

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

[0022]

[0023] Wherein, V represents the set of antenna transmission and receiving nodes in the topology graph;

[0024] The expression with the constraint that the module values ​​of the node IDs in the adjacent antenna transmission receiving node set are different from each other is:

[0025]

[0026] or

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

[0028] The constraint condition is that the module values ​​of the node IDs in the set of receiving nodes for switching adjacent antenna transmission are different from each other. The expression of the constraint condition is:

[0029]

[0030] or

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

[0032] Preferably, solving 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 constitute a binary quadratic optimization problem;

[0034] S42. Use the solver to find a solution that satisfies the binary quadratic constraints 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 receiving nodes.

[0035] The present invention also proposes a synchronization signal configuration system for a 6G non-cellular large-scale antenna array, comprising:

[0036] A topology building module is used to build a topology map of a cellular-free large-scale antenna array network suitable for 6G;

[0037] An acquisition module, used for acquiring a set of adjacent antenna transmission receiving nodes and switching a set of adjacent antenna transmission receiving nodes from the topology map;

[0038] A synchronization signal configuration optimization model establishment module is used to establish a synchronization signal configuration optimization model with the minimum interference between the primary synchronization signal and the secondary synchronization signal between the adjacent antenna transmission receiving nodes in the entire network as the objective function, and with the antenna transmission receiving nodes sharing a physical cell number, the ID module values ​​of each node in the adjacent antenna transmission receiving node set being different, and the ID module values ​​of each node in the switching adjacent antenna transmission receiving node set being different as constraints;

[0039] A solution module is used to solve the synchronization signal configuration optimization model to obtain the optimal identifier ID assigned to different antenna transmission and receiving nodes, and the identifier ID minimizes the interference between the main synchronization signal and the auxiliary synchronization signal between adjacent antenna transmission and receiving nodes in the entire network.

[0040] The present invention also proposes a computer device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0041] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations such as the synchronization signal configuration method of the 6G non-cellular large-scale antenna array.

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

[0043] The present invention proposes a synchronization signal configuration method and system for a 6G non-cellular large-scale antenna array, aiming to solve the problem that synchronization signals sent by different antenna transmission and receiving nodes in a non-cellular large-scale antenna array network interfere with each other, affect the user synchronization success rate, and cause poor user experience. First, a topology diagram suitable for a 6G non-cellular large-scale antenna array network is established; then, the interference between the main synchronization signal and the auxiliary synchronization signal between adjacent antenna transmission and receiving nodes is minimized as the objective function, and constraint adjustment corresponding to the objective function is established, so as to establish and solve a synchronization signal configuration optimization model, so as to minimize the interference of synchronization signals between different antenna transmission and receiving nodes while ensuring the probability of successful synchronous access and switching of users, and improve the user experience in the non-cellular large-scale antenna array network, further ensure the compatibility of the synchronization signal of the 5G system with the CF-MM network, and meet the design requirements of future 6G networks. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A structural diagram showing a non-cellular large-scale antenna array network proposed in an embodiment of the present invention;

[0045] Figure 2 A flowchart showing a synchronization signal configuration method for a 6G non-cellular large-scale antenna array proposed in an embodiment of the present invention;

[0046] Figure 3 A flowchart showing the allocation of identifiers ID of antenna transmission receiving nodes in a CF-MM network proposed in an embodiment of the present invention;

[0047] Figure 4 A diagram showing a structure of a set of adjacent TRPs of the same TRP proposed in an embodiment of the present invention;

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

[0049] Figure 6 A structural block diagram of a synchronization signal configuration system for a 6G non-cellular large-scale antenna array proposed in an embodiment of the present invention is shown;

[0050] Figure 7 A structural block diagram of a computer device proposed in an embodiment of the present invention is shown.

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

[0052] The drawings are for illustrative purposes only and should not be construed as limiting the present patent;

[0053] It is understandable to those skilled in the art that some well-known contents may be omitted in the drawings;

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

[0055] Example 1

[0056] like Figure 1 As shown, the cell-free massive antenna array network (CF-MM) includes a central processing unit (CPU), a user User and multiple antenna transmission and receiving nodes TRP. The typical difference between the cell-free massive antenna array network (CF-MM) and the traditional cellular cell is reflected in the cell-free architecture. Each antenna transmission and receiving node TRP shares a physical cell identity (PCI), which has two advantages. First, all TRPs are in the same physical cell identity for mobility, without the need for complex cell switching operations, and the movement of users between TRPs will not cause data transmission to be disconnected; second, the cell-free cell and the user-centric network can be efficiently integrated to eliminate the user edge effect of the cellular system and improve the user experience. Therefore, for CF-MM, it is assumed 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 in the code domain, time domain or frequency domain, causing the synchronization signals between different TRPs to interfere with each other. The following takes the 5G downlink synchronization signal, the primary synchronization signal PSS and the secondary synchronization signal SSS as an example to explain why sharing the same PCI between different TRPs will cause mutual interference. Further analysis of the above problem found that the essential reasons for the problem are as follows:

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

[0059]

[0060] in, is the physical cell ID group, with a value range of 0, ..., 335, It is the cell sector number, and its value is 0, 1, or 2.

[0061] For the PSS in 5G, there is an M sequence of 127 symbols. The M sequence generation method 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 formula (2) that the generation of the PSS signal is determined based on the sector number of the PCI. If the PCI of the TRP is the same, its sector number must be the same, so the M sequence of the PSS of different TRPs is the same. The generation of the auxiliary synchronization signal is also based on the M sequence of the PCI. The principle is the same and will not be repeated here. It can be seen from the above description that the PSS and SSS are obtained based on the PCI. The PCI is the same, the PSS and SSS sequences are the same, and the PSS and SSS signals generated by different TRPs cannot be distinguished in the code domain.

[0066] In the time domain, the 5G standard stipulates that within each specific period T, a maximum of L max The synchronization signal block SSB is sent for synchronization. The synchronization signal block SSB here includes the primary synchronization signal PSS, the secondary synchronization signal SSS and the physical broadcast channel information PBCH. The value of T in 5G can be set to 5ms, 10ms, 20ms, ..., 170ms. If TRP sends a maximum of L in each cycle, max The same SSB will also cause the problem that PSS and SSS signals between different TRPs cannot be avoided and collide with each other.

[0067] From the frequency domain perspective, the center frequency used by each TRP is also determined based on the PCI. In CF-MM, since all TRPs belong to the same cell and have the same PCI, the center frequency of the synchronization signals they send is also the same, causing the PSS and SSS sent by the TRP to reuse the same frequency band. Therefore, the PSS / SSS of different TRPs collide in the frequency domain.

[0068] For CF-MM, since different TRPs share one PCI, the synchronization signals of different TRPs cannot be distinguished in the code domain, time domain, and frequency domain. As a result, the synchronization signals sent between different TRPs interfere with each other, affecting the user synchronization success rate and resulting in a poor user experience.

[0069] To solve the above problems, see Figure 2 and Figure 3 This embodiment proposes a synchronization signal configuration method for a 6G non-cellular large-scale antenna array, including the following steps:

[0070] S1. Establish a topology diagram of a cellular-free large-scale antenna array network suitable for 6G;

[0071] In S1, the establishment of a topology map of a cellular-free large-scale antenna array network suitable for 6G includes: based on the location information of the antenna transmission and receiving nodes in actual deployment, that is, the longitude and latitude information of the antenna transmission and receiving nodes, each antenna transmission and receiving node is used as a node of the topology map, the antenna transmission and receiving nodes are connected with lines to form the edges of the topology map, and the weights of the edges are set, and the weights are determined by the interference of the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and receiving nodes, so as to obtain the topology map.

[0072] S2. Obtaining a set of adjacent antenna transmission receiving nodes from the topology map and switching a set of adjacent antenna transmission receiving nodes;

[0073] In S2, the different modulus values ​​of the node IDs in the adjacent antenna transmission receiving node sets mean that the modulus values ​​of the node IDs in the adjacent antenna transmission receiving node sets of the same antenna transmission receiving node are different from each other, and the different modulus values ​​of the node IDs in the switched adjacent antenna transmission receiving node sets mean that the modulus values ​​of the node IDs in all antenna transmission receiving node sets that serve as switching 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 the adjacent antenna transmission and receiving nodes in the entire network as the objective function, and taking the antenna transmission and receiving nodes sharing a physical cell number, the ID module values ​​of each node in the adjacent antenna transmission and receiving node set being different, and the ID module values ​​of each node in the switching adjacent antenna transmission and receiving node set being different as constraints, a synchronization signal configuration optimization model is established;

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

[0076]

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

[0078] Similarly, the interference of the j-th antenna transmission receiving node to the i-th antenna transmission receiving node is calculated as follows:

[0079]

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

[0081] See also Figure 4 In CF-MM, TRP B and TRP C are adjacent to TRP A. In order to ensure that there is no confusion when users switch, 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 map and the interference information between TRPs, the TRP ID is allocated. The goal is to minimize the interference of PSS and SSS between adjacent TRPs. The objective function is to minimize the interference of the primary synchronization signal and the secondary synchronization signal between the adjacent antenna transmission receiving nodes. The calculation expression of the objective function is as follows:

[0082]

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

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

[0085]

[0086] Wherein, V represents the set of antenna transmission and receiving nodes in the topology graph;

[0087] The expression with the constraint that the module values ​​of the node IDs in the adjacent antenna transmission receiving node set are different from each other is:

[0088]

[0089] or

[0090] Among them, V adj Represents a set of adjacent antenna transmission and receiving nodes in a topology graph;

[0091] The constraint condition is that the module values ​​of the node IDs in the set of receiving nodes for switching adjacent antenna transmission are different from each other. The expression of the constraint condition is:

[0092]

[0093] or

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

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

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

[0097] S41. For discrete variables x u,j ,x v,j Perform relaxation processing by configuring the synchronization signal to optimize the discrete variables x in the model u,j ,x v,j Convert the target function of the synchronization signal configuration optimization model into a continuous variable, convert the target function of the synchronization signal configuration optimization model into a binary quadratic optimization target function, convert the constraint condition of the synchronization signal configuration optimization model into a binary quadratic constraint condition, and the binary quadratic optimization target function and the binary quadratic constraint condition constitute a binary quadratic optimization problem;

[0098] S42. Use a solver to find a solution that satisfies the binary quadratic constraints in the binary quadratic optimization problem and optimizes the binary quadratic optimization objective function, and obtains the optimal identifier ID assigned to different antenna transmission and receiving 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 non-cellular large-scale antenna array proposed in this embodiment aims to solve the problem that synchronization signals sent by different antenna transmission and receiving nodes in a non-cellular large-scale antenna array network interfere with each other, affect the user synchronization success rate, and cause poor user experience. First, a topology diagram suitable for a 6G non-cellular large-scale antenna array network is established; then, the interference between the main synchronization signal and the auxiliary synchronization signal between adjacent antenna transmission and receiving nodes is minimized as the objective function, and constraint adjustments corresponding to the objective function are established, so as to establish and solve a synchronization signal configuration optimization model, so as to minimize the interference of synchronization signals between different antenna transmission and receiving nodes while ensuring the probability of successful synchronization access and switching of users, and improve the user experience in the non-cellular large-scale antenna array network, further ensure the compatibility of the synchronization signal of the 5G system with the CF-MM network, and meet the design requirements of future 6G networks.

[0100] Example 2

[0101] To further illustrate the actual application scenario of the synchronization signal configuration method for a 6G non-cellular large-scale antenna array proposed in the above embodiment, to verify that the synchronization signal configuration method for a 6G non-cellular large-scale antenna array proposed in the above embodiment can effectively reduce the mutual interference between synchronization signals, ensure the user synchronization success rate, and improve the user experience.

[0102] Scenario 1 is coverage along the high-speed rail and other lines. For the coverage scenarios of railways, highways, and coastal lines, considering the particularity of their coverage requirements, the antenna transmission and receiving nodes are deployed along the lines. In this scenario, the topological connection relationship between TRPs in CF-MM is relatively simple. For this case, the interference matrix between TRPs is also relatively simple. For TRP ID allocation, it can be based on manual allocation and automatic allocation. For manual allocation, see Figure 5 At this time, it can be ensured that the IDs of adjacent TRPs are different. At the same time, the TRP IDs in the adjacent TRP sets of the same TRP are different. The manual allocation step first establishes a topology map suitable for 6G non-cellular large-scale antenna array network, and then obtains the adjacent antenna transmission and reception node set and the switching adjacent antenna transmission and reception node set from the topology map, and then obtains the configuration information of the cell frequency information, and finally deploys the interference between different TRPs based on a manual method;

[0103] For automatic allocation, the automatic allocation step is the step of the synchronization signal configuration method of a 6G non-cellular large-scale antenna array proposed in the above embodiment, but the calculation process is given by an algorithm. The maintenance personnel can make fine adjustments based on the final result calculated by the algorithm to ensure that Figure 5 Just be consistent.

[0104] The second scenario 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, whether it is the branch and bound method or the Gruobi-based solution for 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, more than 1 day, and the solution obtained is a suboptimal 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 ideas can be adopted. For densely populated areas such as gymnasiums, the entire user area can be divided into several independent sub-areas, and then the TRP ID allocation problem in each sub-area is planned and solved according to the above process. For example, for a gymnasium, the entire area can be divided into four areas: east, west, south, and north. For commercial buildings, the floors of the commercial building can be divided into zones to ensure that the number of TRPs in each sub-area is less than 200. In this way, the solution can be quickly obtained based on the previous solution.

[0106] Scenario three is a densely populated urban area. The processing of scenario three is similar to that of a gymnasium. The densely populated urban area is divided into administrative districts and then the TRP ID is allocated according to the deployment method of a gymnasium.

[0107] Through the practical application of a 6G non-cellular large-scale antenna array synchronization signal configuration method proposed in the above embodiment in three scenarios, it is found that in the corresponding scenarios, it can effectively reduce the mutual interference between synchronization signals, ensure the user synchronization success rate, and improve the user experience.

[0108] Example 3

[0109] See also Figure 6 This embodiment proposes a synchronization signal configuration system for a 6G non-cellular large-scale antenna array, including:

[0110] A topology building module is used to build a topology map of a cellular-free large-scale antenna array network suitable for 6G;

[0111] An acquisition module, used for acquiring a set of adjacent antenna transmission receiving nodes and switching a set of adjacent antenna transmission receiving nodes from the topology map;

[0112] A synchronization signal configuration optimization model establishment module is used to establish a synchronization signal configuration optimization model with the minimum interference between the primary synchronization signal and the secondary synchronization signal between the adjacent antenna transmission receiving nodes in the entire network as the objective function, and with the antenna transmission receiving nodes sharing a physical cell number, the ID module values ​​of each node in the adjacent antenna transmission receiving node set being different, and the ID module values ​​of each node in the switching adjacent antenna transmission receiving node set being different as constraints;

[0113] A solution module is used to solve the synchronization signal configuration optimization model to obtain the optimal identifier ID assigned to different antenna transmission and receiving nodes, and the identifier ID minimizes the interference between the main synchronization signal and the auxiliary synchronization signal between adjacent antenna transmission and receiving nodes in the entire network.

[0114] A synchronization signal configuration system for a 6G non-cellular large-scale antenna array proposed in this embodiment is intended to solve the problem that synchronization signals sent by different antenna transmission and receiving nodes in a non-cellular large-scale antenna array network interfere with each other, affect the user synchronization success rate, and cause poor user experience. First, a topology diagram suitable for a 6G non-cellular large-scale antenna array network is established; then, the interference between the primary synchronization signal and the auxiliary synchronization signal between adjacent antenna transmission and receiving nodes is minimized as the objective function, and constraint adjustments corresponding to the objective function are established, so as to establish and solve a synchronization signal configuration optimization model, so as to minimize the interference of synchronization signals between different antenna transmission and receiving nodes while ensuring the probability of successful synchronization access and switching of users, and improve the user experience in the non-cellular large-scale 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 future 6G networks.

[0115] Example 4

[0116] See also Figure 7 , this embodiment further proposes a computer device, including: a processor 701, a memory 702, a communication interface 703 and a communication bus 704, wherein the processor 701, the memory 702 and the communication interface 703 communicate with each other through the communication bus 704;

[0117] Wherein: the processor 701, the memory 702 and the communication interface 703 communicate with each other through the communication bus 704. The communication interface 703 is used for network communication with other devices such as a client or other servers. The processor 701 is used to execute the executable instruction 705, which can specifically execute the relevant steps in the above-mentioned embodiment of the synchronization signal configuration method for the 6G non-cellular large-scale antenna array.

[0118] Specifically, the executable instructions 705 may include program codes. The processor 701 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), 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 processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0119] The memory 702 is used to store executable instructions 705. The memory 702 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

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

[0121] S1. Establish a topology diagram of a cellular-free large-scale antenna array network suitable for 6G;

[0122] S2. Obtaining a set of adjacent antenna transmission receiving nodes from the topology map and switching a set of adjacent antenna transmission receiving nodes;

[0123] S3. Taking the minimum interference between the primary synchronization signal and the secondary synchronization signal between the adjacent antenna transmission and receiving nodes in the entire network as the objective function, and taking the antenna transmission and receiving nodes sharing a physical cell number, the ID module values ​​of each node in the adjacent antenna transmission and receiving node set being different, and the ID module values ​​of each node in the switching adjacent antenna transmission and receiving node set being different as constraints, a synchronization signal configuration optimization model is established;

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

[0125] In this embodiment, the purpose is to solve the problem that the synchronization signals sent by different antenna transmission and receiving nodes in the non-cellular large-scale antenna array network interfere with each other, affect the user synchronization success rate, and cause poor user experience. First, a topology diagram suitable for 6G non-cellular large-scale antenna array network is established; then, the interference between the main synchronization signal and the auxiliary synchronization signal between adjacent antenna transmission and receiving nodes is minimized as the objective function, and the constraint adjustment corresponding to the objective function is established, so as to establish and solve the synchronization signal configuration optimization model, so as to minimize the interference of synchronization signals between different antenna transmission and receiving nodes while ensuring the probability of user synchronization access and switching success, and improve the user experience in the non-cellular large-scale antenna array 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.

[0126] Obviously, the above embodiments of the present invention are only examples for clearly illustrating the present invention, and are not intended to limit the implementation methods of the present invention. For those skilled 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 implementation methods here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. A synchronization signal configuration method for a 6G non-cellular large-scale antenna array, characterized in that: The following steps are involved: S1. Establish a topology diagram of a cellular-free large-scale antenna array network suitable for 6G; S2. Obtaining a set of adjacent antenna transmission receiving nodes from the topology map and switching a set of adjacent antenna transmission receiving nodes; S3. Taking the minimum interference between the primary synchronization signal and the secondary synchronization signal between the adjacent antenna transmission and receiving nodes in the entire network as the objective function, and taking the antenna transmission and receiving nodes sharing a physical cell number, the ID module values ​​of each node in the adjacent antenna transmission and receiving node set being different, and the ID module values ​​of each node in the switching adjacent antenna transmission and receiving node set being different as constraints, a synchronization signal configuration optimization model is established; S4. Solve the synchronization signal configuration optimization model to obtain the optimal identifier ID assigned to different antenna transmission and receiving nodes, and the identifier ID minimizes the interference between the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and receiving nodes in the entire network.

2. The synchronization signal configuration method for a 6G non-cellular large-scale antenna array according to claim 1 is characterized in that: The non-cellular large-scale antenna 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 number.

3. The synchronization signal configuration method of the 6G non-cellular large-scale antenna array according to claim 2 is characterized in that: The method of establishing a topological map of a cellular-free large-scale antenna array network suitable for 6G includes: taking each antenna transmission and receiving node as a node of the topological map, connecting the antenna transmission and receiving nodes with lines to form edges of the topological map, and setting edge weights, wherein the weights are determined by the interference of the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission and receiving nodes, thereby obtaining the topological map.

4. The synchronization signal configuration method for a 6G non-cellular large-scale antenna array according to claim 2 is characterized in that: The different modulus values ​​of the node IDs in the adjacent antenna transmission receiving node sets mean that the modulus values ​​of the node IDs in the adjacent antenna transmission receiving node sets of the same antenna transmission receiving node are different from each other, and the different modulus values ​​of the node IDs in the switched adjacent antenna transmission receiving node sets mean that the modulus values ​​of the node IDs in all antenna transmission receiving node sets that serve as switching targets in the same physical cell number are different from each other.

5. The synchronization signal configuration method of the 6G non-cellular large-scale antenna array according to claim 2 is characterized in that: The interference calculation of the primary synchronization signal and the secondary synchronization signal between adjacent antenna transmission receiving nodes in the entire network is as follows: Among them, I i,j represents the interference value of the i-th antenna transmission receiving node to the j-th antenna transmission receiving node, P i Indicates the transmission power of the i-th antenna transmission receiving node when transmitting the primary synchronization signal or the secondary synchronization signal, PL i,j It represents the path loss from the i-th antenna transmission receiving node to the j-th antenna transmission receiving node.

6. The synchronization signal configuration method for a 6G non-cellular large-scale antenna array according to claim 2 is characterized in that: The calculation expression of the objective function is as follows: Among them, ω u,v represents the interference distance between the uth antenna transmission receiving node and the vth antenna transmission receiving node, x u,j represents the discrete variable of the u-th antenna transmission receiving node, x v,j represents the discrete variable of the vth antenna transmission receiving node, L represents the path loss, and E represents the set of edges in the topology graph.

7. The synchronization signal configuration method of the 6G non-cellular large-scale antenna array according to claim 6 is characterized in that: The expression with the constraint that the antenna transmission receiving nodes share a physical cell number is: Wherein, V represents the set of antenna transmission and receiving nodes in the topology graph; The expression with the constraint that the module values ​​of the node IDs in the adjacent antenna transmission receiving node set are different from each other is: x u,j x v,j =0, or x u,j +x v,j =1, Among them, V adj Represents a set of adjacent antenna transmission and receiving nodes in a topology graph; The constraint condition is that the module values ​​of the node IDs in the set of receiving nodes for switching adjacent antenna transmission are different from each other. The expression of the constraint condition is: x u,j x v,j =0, or x u,j +x v,j =1, Among them, V ho_adj Represents the set of adjacent antenna transmission and reception nodes switched in the topology graph.

8. The synchronization signal configuration method of the 6G non-cellular large-scale antenna array according to claim 7 is characterized in that: The solving 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 constitute a binary quadratic optimization problem; S42. Use the solver to find a solution that satisfies the binary quadratic constraints 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 receiving nodes.

9. A 6G non-cellular large-scale antenna array synchronization signal configuration system, characterized in that: include: A topology building module is used to build a topology map of a cellular-free large-scale antenna array network suitable for 6G; An acquisition module, used for acquiring a set of adjacent antenna transmission receiving nodes and switching a set of adjacent antenna transmission receiving nodes from the topology map; A synchronization signal configuration optimization model establishment module is used to establish a synchronization signal configuration optimization model with the minimum interference between the primary synchronization signal and the secondary synchronization signal between the adjacent antenna transmission receiving nodes in the entire network as the objective function, and with the antenna transmission receiving nodes sharing a physical cell number, the ID module values ​​of each node in the adjacent antenna transmission receiving node set being different, and the ID module values ​​of each node in the switching adjacent antenna transmission receiving node set being different as constraints; A solution module is used to solve the synchronization signal configuration optimization model to obtain the optimal identifier ID assigned to different antenna transmission and receiving nodes, and the identifier ID minimizes the interference between the main synchronization signal and the auxiliary synchronization signal between adjacent antenna transmission and receiving nodes in the entire network.

10. A computer device, characterized in that: include: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform the operation of the synchronization signal configuration method for the 6G non-cellular large-scale antenna array as described in any one of claims 1-8.

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