A mobile communication networking method and system for rail transit

Abstract

This invention discloses a mobile communication networking method and system for rail transit, applied to a wireless network system for rail transit. The wireless network system includes multiple remote radio frequency units (RF units). The method includes the following steps: acquiring wireless service demand information for rail transit; dividing all remote RF units into multiple different cells based on the wireless service demand information; selecting antenna signals of remote RF units in the same cell according to preset antenna combination rules to generate antenna data; and performing wireless resource allocation and management for each cell based on the antenna data. This invention determines the networking feasibility of remote RF units based on the actual needs of rail transit train services, and then performs intelligent networking design and combining control through a centralized switch to meet the dynamic and real-time changes in train operation, realizing dynamic cell design for rail transit.

Description

Technical Field

[0001] This invention belongs to the field of communication technology, specifically relating to a mobile communication networking method and system for rail transit. Background Technology

[0002] With the rapid development of rail transit, the communication needs of wireless mobile communication users riding rail transit are increasing daily. The movement trajectory and range of rail transit vehicles differ significantly from those of ordinary wireless mobile users; therefore, the temporal and spatial distribution of services in rail transit systems differs significantly from that of terrestrial wireless mobile networks. Rail transit vehicles typically move along fixed tracks at relatively high speeds, and wireless communication services are highly concentrated within the train carriages. From the perspective of wireless network operation, only base stations or cells relatively close to the train in the rail transit system have high service demand; the remaining base stations or cells are almost unloaded, and as the train departs, the cell load rapidly changes from heavily loaded to unloaded.

[0003] Traditional rail transit systems typically use a fixed-cell approach, meaning each cell has a fixed coverage area. In contrast, wireless cellular networks manage wireless resources (such as spectrum and power) and schedule user access on a cell-by-cell basis. This leads to resource shortages and increased scheduling latency when a cell is heavily loaded with services, and idle wireless resources when a cell is not heavily loaded. Summary of the Invention

[0004] To overcome the aforementioned technical deficiencies, this invention provides a mobile communication networking method for rail transit, which resolves the contradiction between fluctuating wireless communication service demands and the efficiency of utilizing limited and unlimited resources in rail transit systems, improves the performance of cell resource management and user scheduling, and optimizes the user experience and network performance of rail transit systems.

[0005] To address the aforementioned problems, the first aspect of this invention discloses a mobile communication networking method for rail transit, applied to a wireless network system of rail transit. The wireless network system includes multiple remote radio frequency units, and the method includes the following steps:

[0006] Obtain wireless service demand information for rail transit, and divide all remote radio frequency units into multiple different cells based on the wireless service demand information;

[0007] According to the preset antenna combination rules, the antenna signals of the far-end radio frequency units in the same cell are selected to generate antenna data;

[0008] Based on antenna data, perform radio resource allocation and management for each cell.

[0009] Further steps to obtain wireless service requirements information for rail transit include the following:

[0010] Based on the user density in train carriages and the average service demand of each user in a train carriage, the wireless service demand information for the average area of ​​rail transit trains is determined.

[0011] Based on the coverage area information of each remote radio unit and the wireless service demand information of the average area of ​​the train, the wireless service demand information of rail transit generated within the coverage area of ​​each remote radio unit when the train passes through each remote radio unit is estimated.

[0012] Further steps to obtain wireless service requirements information for rail transit include the following:

[0013] Obtain the actual measured traffic volume at the current location of the train;

[0014] The average traffic volume of the train during the current period is calculated based on the actual traffic volume measured at the current location of the train.

[0015] The average traffic volume of trains in the current time period is used as the wireless service demand information for rail transit in the next time period.

[0016] Furthermore, the steps involve dividing all remote radio frequency units into multiple different cells based on wireless service demand information, including the following steps:

[0017] The capacity of multiple remote radio units is determined based on the average spectral efficiency of the remote radio units and the available bandwidth information of each cell.

[0018] Determine whether the wireless service demand information within the coverage area of ​​the remote radio frequency unit is lower than a preset threshold.

[0019] Remote radio frequency units below the threshold value are merged into one cell.

[0020] Furthermore, the preset antenna combination rules include antenna combination rules for remote radio frequency units and antenna port mapping rules.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] This invention discloses a mobile communication networking method for rail transit. Based on the actual needs of rail transit train services, it divides remote radio frequency (RF) units, selects RF units according to antenna combination rules, generates antenna data, and allocates and manages wireless resources based on the antenna data. This method meets the dynamic and real-time changing characteristics of train operation, realizes dynamic cell design for rail transit, and provides flexible, dynamic, and adaptable networking and cell deployment that accommodates changes in service time and / or service space. It resolves the contradiction between fluctuating wireless communication service demands and the efficiency of limited wireless resource utilization in rail transit, improves the performance of cell resource management and user scheduling, and optimizes the network performance for user experience in the rail transit system.

[0023] A second aspect of this invention discloses a mobile communication networking system for rail transit, comprising:

[0024] Multiple remote radio frequency units;

[0025] The controller is used to acquire wireless service demand information of rail transit and divide all remote radio frequency units into multiple different cells according to the wireless service demand information.

[0026] A centralized switch, connected to the controller, is used to select antenna signals from remote radio frequency units in the same cell according to preset antenna combination rules and generate antenna data.

[0027] The baseband processing unit, connected to the controller and the central switch respectively, is used to perform radio resource allocation and management for each cell based on antenna data.

[0028] Furthermore, the controller includes:

[0029] The first wireless service demand information acquisition module is used to determine the wireless service demand information of the average area of ​​the rail transit train based on the user density of the train carriages and the average service demand of each user in the train carriages; and to estimate the wireless service demand information of the rail transit generated within the coverage area of ​​each remote radio unit when the train passes through each remote radio unit based on the coverage area information of each remote radio unit and the wireless service demand information of the average area of ​​the train.

[0030] Furthermore, the controller also includes:

[0031] The second wireless service demand information acquisition module is used to acquire the actual measured service volume of the cell where the train is currently located; based on the actual measured service volume, to calculate the average service volume of the train in the current time period; and to use the average service volume of the train in the current time period as the wireless service demand information of the rail transit in the next time period.

[0032] Furthermore, the controller also includes:

[0033] The cell division module is used to determine the capacity of multiple remote radio units based on the average spectral efficiency of the remote radio units and the available bandwidth information of each cell; determine whether the wireless service demand information within the coverage area of ​​the remote radio units is lower than a preset threshold; and merge remote radio units that are lower than the preset threshold into one cell.

[0034] Furthermore, the preset antenna combination rules include antenna combination rules for remote radio frequency units and antenna port mapping rules. Attached Figure Description

[0035] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings, wherein:

[0036] Figure 1 This is a schematic diagram of the mobile communication networking method described in Example 1;

[0037] Figure 2 This is a schematic diagram of a scenario where a remote radio frequency unit is deployed along a track in the mobile communication networking method described in Example 1.

[0038] Figure 3 This is a schematic diagram of the antenna combining / splitting combination relationship of the mobile communication networking method described in Example 1;

[0039] Figure 4 This is a schematic diagram of antenna selection for mobile communication networking in rail transit according to the mobile communication networking method described in Example 1.

[0040] Figure 5 This is a schematic diagram of the mobile communication network system described in Example 2;

[0041] Figure 6 This is a schematic diagram illustrating an application scenario of the mobile communication networking method described in Example 2;

[0042] Figure 7 This is a schematic diagram of the mobile communication networking device structure described in Example 2. Detailed Implementation

[0043] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustrative and explanatory purposes only and are not intended to limit the scope of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0044] The terms “comprising” and “having” and any variations thereof in this invention are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or modules is not necessarily limited to those steps or modules that are explicitly listed, but may include other steps or modules that are not explicitly listed or that are inherent to such process, method, product or device.

[0045] Example 1

[0046] This embodiment discloses a mobile communication networking method for rail transit. It can determine the networking feasibility of remote radio frequency units based on the actual needs of rail transit train services, and then perform intelligent network design and combining control through a centralized switch. This satisfies the dynamic and real-time changes in train operation, realizing dynamic cell design for rail transit. It provides flexible, dynamic, and adaptable network and cell deployment to changes in service time / space, thereby resolving the contradiction between fluctuating wireless communication service demands and the efficiency of limited wireless resource utilization in rail transit systems. This improves cell resource management and user scheduling performance, and optimizes user experience and network performance in rail transit systems.

[0047] This embodiment discloses a mobile communication networking method for rail transit, applied to a wireless network system of rail transit. The wireless network system includes multiple remote radio frequency units, and the method includes the following steps:

[0048] S1. Obtain wireless service demand information for rail transit, and divide all remote radio frequency units into multiple different cells based on the wireless service demand information.

[0049] Since this invention targets cell networking methods in rail transit, it is necessary to consider the operational characteristics of transportation vehicles such as high-speed trains and ordinary trains. In this embodiment, the wireless service demand information of rail transit is used as the main reference object for cell networking. Wireless service demand information may include information on changes in train time and space; service demands are mainly proposed by users inside the train carriages, including passengers, service personnel performing train duties, drivers, etc.; service demands are often concentrated inside the train carriages, and changes in services within the coverage area of ​​each Remote Radio Unit (RRU) occur as the train passes through it. The wireless service demand information of rail transit is obtained through the following steps:

[0050] Based on the train carriage user density U avg and the average business demand R per user in each train carriage avg Calculate the wireless service demand information D based on the average area of ​​rail transit trains. avg :

[0051] D avg =U avg ×R avg .

[0052] Based on the coverage area information S of each remote radio frequency unit i Wireless service demand information D for the average area of ​​the train avg Estimate the wireless service demand information of rail transit generated within the coverage area of ​​the i-th remote radio unit when the train passes through it.

[0053]

[0054] In practical applications, since the operation of trains in rail transit systems is regular and controlled, the position of a train at any given time can be determined. Therefore, the service requirements of the i-th remote radio frequency unit at any given time are:

[0055]

[0056] Among them, t i，s This represents the time range during which the train passes through the i-th RRU.

[0057] In the above embodiments, the step of obtaining wireless service demand information for rail transit further includes the following steps:

[0058] Obtain the actual measured traffic volume at the current location of the train.

[0059] Based on the actual traffic volume measured at the train's current location, the current time period t is statistically analyzed. n Average train traffic volume D n .

[0060] The average traffic volume of trains during the current period, D n In the above embodiment, the wireless service demand information for rail transit in the next time period is as follows: if the next time period t... n+1 The set of remote radio frequency units traversed by the train is T. n+1 Then the wireless service requirement information of the i-th remote radio unit is:

[0061]

[0062] Both of these methods can accurately capture the actual wireless service demand information during train operation, thereby providing a more dynamic reference that meets actual needs during subsequent network deployment.

[0063] Specifically, the process involves dividing all remote radio frequency units into multiple different cells based on wireless service requirements information, including the following steps:

[0064] Based on the average spectral efficiency of the remote radio units and the available bandwidth information of each cell, the wireless service demand information within the coverage area of ​​multiple remote radio units is determined.

[0065] Determine whether the wireless service demand information within the coverage area of ​​the remote radio frequency unit is lower than a preset threshold.

[0066] Remote radio frequency units below the threshold value are merged into one cell.

[0067] In the above embodiments, the average spectral efficiency (SE) of the remote radio frequency unit is estimated by comprehensively considering factors such as the power of the remote radio frequency unit, the coverage range of the remote radio frequency unit, and the technology used by the remote radio frequency unit. i Obtain the available bandwidth information of the cell, based on the average spectral efficiency (SE). i With cell available bandwidth information W i Calculate the capacity C of the i-th remote radio unit. i :

[0068] C i =SE i ×W i

[0069] In the above embodiments, other estimation parameters can be set as needed to estimate the average spectral efficiency of the remote radio frequency unit.

[0070] The obtained real-time wireless service demand information can be judged by a preset threshold. Assuming time t, the M consecutive adjacent RRUs of the i-th remote radio unit (RRU) are denoted as i m If m = 1, ..., M, then if the M RRUs simultaneously satisfy:

[0071]

[0072] Then the (M+1) adjacent RRUs can be merged into one cell, where L M <1 is a preset threshold value. In other implementations, other threshold values ​​that meet the conditions can be designed according to requirements. Generally, the larger the non-negative integer M, the larger L is. M The smaller.

[0073] In other implementations, if the i-th remote radio unit (RRU) satisfies:

[0074] D i (t)≥L0*C i .

[0075] Then the remote radio unit (RRU) can form a separate cell.

[0076] Therefore, all remote radio units can be divided into multiple different cells. These multiple different cells can be implemented as including multiple remote radio units or as a single remote radio unit. It can be seen that there is no limit to the number of remote radio units in the cell network.

[0077] S2. Based on the preset antenna combination rules, the antenna signals of the far-end radio frequency units in the same cell are selected to generate antenna data.

[0078] Among these, the pre-defined antenna combination rules are a key decision-making method for the rational allocation and selection of divided cells. Generally, each Remote Radio Unit (RRU) connects to one or more antennas. When multiple RRUs are determined to form a cell, it is necessary to consider how to handle the relationship between the antenna signals of multiple RRUs to provide the correct antenna data to the baseband processing module. For mainstream standards (such as 3GPP), the concepts of physical antenna ports and logical antenna ports are used in wireless cellular network design. One physical antenna port corresponds to a specific antenna, and one logical antenna port corresponds to the signal of one antenna in the baseband multi-antenna algorithm. The mapping relationship between physical and logical antenna ports is determined by the specific design. For example, if two RRUs form a cell, and each RRU connects to four antennas, then the cell is configured with four antenna ports. Therefore, the signals from 2*4=8 antennas need to be generated in some form to produce four-antenna port data, which is then input to the baseband processing module. The specific generation form needs to be determined by the pre-defined antenna combination rules.

[0079] In this embodiment, the preset antenna combination rules include at least antenna combination rules for remote radio units (RRUs) and antenna port mapping rules. Specifically, the antenna combination rules include multi-RRU antenna combination rules and antenna port mapping rules. The multi-RRU antenna combination rules determine the allowed combining / splitting relationships between the antennas of one RRU and the antennas of another RRU. The antenna port mapping rules determine the correspondence between a combining / splitting branch and the antenna ports of the baseband processing. When designing the antenna port mapping rules, factors such as the deployment location, radiation characteristics, and coverage area of ​​the RRU antennas, as well as the baseband multi-antenna processing method and cell configuration, need to be considered. For example, as... Figure 2 The diagram illustrates a scenario where remote radio frequency (RF) units are deployed along a track. Three RF units, RRU1, RRU2, and RRU3, are deployed alongside the track. Each RF unit (RRU) is connected to two antennas (Ant0 / Ant1), covering the track area on either side of the RRU. When a pre-defined antenna combination rule is used, as shown... Figure 3 In the schematic diagram of an antenna combining / splitting relationship shown, when the three remote radio units (RRUs) form a cell, the antenna combination rule is that the antennas Ant0 of all remote radio units (RRUs) are combined to form baseband port 0, and the antennas Ant1 are combined to form baseband port 1. Based on the antenna combination rule, the remote radio units can be selected.

[0080] Specifically, the selection of remote radio units (RRUs) is mainly achieved through the centralized controller RHub, which performs antenna selection on the RRUs to control whether they participate in cell formation. Therefore, antenna selection is performed on a cell-by-cell basis; an RRU's antenna can be selected in one cell combination but not in another.

[0081] As one specific embodiment, with Figure 4 Taking the antenna selection diagram of the mobile communication network in rail transit as an example, four remote radio units (RRU_1, RRU_2, RRU_3, RRU_4) are deployed in the network. Assume that in this deployment, the preset antenna combination rule is to merge antennas with the same signal from each RRU. Then, when the train passes through the coverage area of ​​RRU_1 and RRU_2, according to the above steps, the current network is divided into three cells: cell1 (RRU_1), cell2 (RRU_2), and cell3 (RRU_3 + RRU_4). The selection results for the three cells, i.e., the antenna data, are as follows:

[0082] Cell1: RHub selects Ant0 and Ant1 of RRU_1 as Port0 and Port1 of cell1;

[0083] Cell2: RHub selects Ant0 and Ant1 of RRU_2 as Port0 and Port1 of cell2;

[0084] Cell3: RHub selects and merges the Ant0 of RRU_3 and RRU_4 into Port0 of cell3, and selects and merges the Ant1 of RRU_3 and RRU_4 into Port1 of cell3.

[0085] S3. Based on the antenna data, perform radio resource allocation and management for each cell.

[0086] Based on the antenna data mentioned above, the baseband processing unit (BBU) can perform various cell operation operations such as resource allocation, cell management, and user scheduling for each cell based on the connection port data.

[0087] Therefore, by connecting multiple remote radio units or devices to a centralized baseband processing module through a combining device, it is possible to flexibly expand remote devices and dynamically adjust the cell structure to adapt radio resources to the dynamic distribution of service demands in time and space, thereby improving system operation and radio resource utilization efficiency.

[0088] Example 2

[0089] like Figure 5This embodiment discloses a mobile communication network system for rail transit, including multiple remote radio frequency units 1, a controller 2, a centralized switch 3, and a baseband processing unit 4. The controller 2 acquires wireless service demand information for the rail transit system and divides all remote radio frequency units 1 into multiple different cells based on this information. The centralized switch 3 is connected to both the controller 2 and the baseband processing unit 4, and is used to select antenna signals from the remote radio frequency units in the same cell according to preset antenna combination rules to generate antenna data. The baseband processing unit 4 is connected to both the controller 2 and the centralized switch 3, and is used to perform wireless resource allocation and management for each cell based on the antenna data.

[0090] Specifically, controller 2 includes a first wireless service demand information acquisition module 21, used to determine the wireless service demand information of the average area of ​​the rail transit train based on the user density of the train carriages and the average service demand of each user in the train carriages. It also estimates the rail transit wireless service demand information generated within the coverage area of ​​each remote radio unit when the train passes each remote radio unit, based on the coverage area information of each remote radio unit and the wireless service demand information of the average area of ​​the train.

[0091] Specifically, the controller 2 includes a second wireless service demand information acquisition module 22, which is used to acquire the actual measured service volume of the cell where the train is currently located; to calculate the average service volume of the train in the current period based on the actual measured service volume of the cell where the train is currently located; and to use the average service volume of the train in the current period as the wireless service demand information of the rail transit in the next period.

[0092] Specifically, the wireless service demand information is acquired through the first wireless service demand information acquisition module 22 of the controller, which is implemented as follows: Based on the user density of train carriages and the average service demand of each train carriage user, the wireless service demand information of the average area of ​​the rail transit is determined. Then, based on the coverage area information of each remote radio unit and the wireless service demand information of the average area of ​​the train, the wireless service demand information of the rail transit generated within the coverage area of ​​each remote radio unit when the train passes through each remote radio unit is estimated. Specifically:

[0093] Based on the train carriage user density of U avg The average wireless service demand per user in each train carriage is R. avg Calculate the wireless service demand information D based on the average area on the train. avg :

[0094] D avg =U avg ×R avg

[0095] Based on the coverage area information of each remote radio unit (RRU) S iThe estimated radio service demand information for rail traffic generated within the coverage area of ​​the i-th remote radio unit (RRU) when the train passes through it is as follows:

[0096]

[0097] In practical applications, since the operation of trains in a rail transit system is regular and controlled, the location of a train at any given time can be determined. Therefore, the service requirements of the i-th remote radio frequency unit (RRU) at any given time can be determined as follows:

[0098]

[0099] Among them, t i，s This represents the time range during which the train passes through the i-th RRU.

[0100] Specifically, when using the second wireless service demand information acquisition module 22 of controller 2, the following can be achieved: acquiring the actual measured service volume of the cell where the train is currently located, calculating the average service volume of the train in the current time period based on the actual measured service volume of the cell where the train is currently located, and using the average service volume of the train in the current time period as the wireless service demand information of the rail transit in the next time period.

[0101] The actual traffic volume measured in the cell where the train is currently located can be directly obtained from the cell's communication system, and the current time period t can be statistically analyzed. n Average train traffic volume D n With this average business volume D n For the business needs of the next time period. If the next time period t n+1 The set of remote radio frequency units (RRUs) that the train passes through is denoted as T. n+1 Then the wireless service requirement information of the i-th remote radio unit (RRU) is:

[0102]

[0103] As can be seen, both of the above methods can accurately capture the actual wireless service demand information in the train's operating status, thereby providing a more dynamic reference that meets actual needs during subsequent network deployment.

[0104] It should be noted that in other embodiments, the controller may include only the first wireless service demand information acquisition module 21 or the second wireless service demand information acquisition module 22, or both modules, or other wireless service demand information acquisition modules for rail transit. This embodiment does not limit the types of acquisition modules inside the controller. All relevant modules that can acquire wireless service demand information in the controller are within the protection scope of this invention.

[0105] Specifically, controller 2 also includes a cell partitioning module 23, used to determine the capacity of multiple remote radio units (RRUs) based on the average spectral efficiency of the RRUs and the available bandwidth information of each cell, determine whether the capacity of the RRUs meets the wireless service requirements, and merge RRUs that meet the wireless service requirements into one cell. The basic capacity of each RRU can be estimated based on parameters from the network planning phase. For example, the average spectral efficiency (SE) of the RRUs can be comprehensively estimated based on factors such as the RRU power, the RRU coverage area, and the multi-antenna technology used by the RRUs. i In other implementations, other estimation parameters can be set as needed to evaluate the average spectral efficiency of the remote radio unit, and then the available bandwidth information of the cell can be obtained, based on the average spectral efficiency SE. i With cell available bandwidth information W i Calculate the capacity C of the i-th remote radio unit (RRU). i for:

[0106] C i =SE i ×W i

[0107] The obtained real-time wireless service demand information can then be judged using a preset threshold. For example, assuming time t, the M consecutive adjacent RRUs of the i-th remote radio unit (RRU) are denoted as i m If m = 1, ..., M, then if the M RRUs simultaneously satisfy:

[0108]

[0109] Then the (M+1) adjacent RRUs can be merged into one cell, where L M <1 is the preset threshold. Generally, the larger the non-negative integer M, the larger L is. M The smaller.

[0110] In other implementations, if the i-th remote radio unit (RRU) satisfies:

[0111] D i (t)≥L0*C i .

[0112] Then the remote radio unit (RRU) can form a separate cell.

[0113] Therefore, all remote radio units can be divided into multiple different cells. These multiple different cells can be implemented as including multiple remote radio units or as a single remote radio unit. It can be seen that there is no limit to the number of remote radio units in the cell network.

[0114] After cell division, the antenna signal selection operation of remote radio unit (RRU) can be performed according to the functions of the centralized switch, including at least the antenna combination rules and antenna port mapping rules for RRUs. Specifically, the antenna combination rules include multiple RRU antenna combination rules and antenna port mapping rules. The multiple RRU antenna combination rules determine the allowed combining / splitting relationships between the antennas of one RRU and the antennas of another RRU. The antenna port mapping rules determine the correspondence between a certain combining / splitting branch and the antenna port of the baseband processing. When designing the antenna port mapping rules, factors such as the deployment location, radiation characteristics, and coverage of the RRU antennas, as well as the baseband multi-antenna processing method and cell configuration, need to be considered.

[0115] It is important to note that, from the perspective of the overall system, the uplink signal processing involves both terminal transmission and base station reception, which is handled by merging at the central controller RHub. For downlink signals, i.e., base station transmission and terminal reception, the corresponding processing at the central processor RHub is splitting, which is the opposite of the merging process.

[0116] After the cell is selected by the central controller, the generated antenna data can be sent to the baseband processing unit 4. The baseband processing unit 4 (BBU) then performs various cell operation operations such as resource allocation, cell management, and user scheduling for each cell based on the connection port data.

[0117] Specifically, for a more detailed explanation of the implementation of this embodiment, please refer to [link to relevant documentation]. Figure 6 This is a schematic diagram of a scenario applying the method of this embodiment, consisting of a controller unit, a BBU unit, a RHub unit, and multiple remote RRU units, as shown below. Figure 6 As shown, by controlling the selection, merging / splitting of RRUs through RHub, a flexible cell structure can be achieved to adapt to the service requirements of dynamic temporal and spatial distribution.

[0118] Based on the actual needs of rail transit train services, this invention first determines the networking possibilities of remote radio frequency units (RRUs), and then uses a centralized switch for intelligent networking design and combining control to meet the dynamic and real-time changes in train operation. This enables dynamic cell design for rail transit, providing flexible, dynamic, and adaptable networking and cell deployment that can adapt to changes in service time or space. This resolves the contradiction between fluctuating wireless communication service demands and the efficiency of limited wireless resource utilization in rail transit systems, improves the performance of cell resource management and user scheduling, and optimizes the user experience and network performance of rail transit systems.

[0119] Please see Figure 7 , Figure 7 This is a schematic diagram of the structure of a mobile communication networking device for rail transit disclosed in an embodiment of the present invention. Figure 7 As shown, the device may include:

[0120] Memory 701 storing executable program code;

[0121] Processor 702 coupled to memory 701;

[0122] The processor 702 calls the executable program code stored in the memory 701 to execute the described mobile communication networking method for rail transit.

[0123] This invention discloses a computer-readable storage medium storing a computer program for electronic data interchange, wherein the computer program causes a computer to execute a described mobile communication networking method for rail transit.

[0124] This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute a described mobile communication networking method for rail transit.

[0125] The embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0126] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0127] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Therefore, any modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A mobile communication networking method for rail transit, characterized in that, A wireless network system for rail transit, comprising multiple remote radio frequency units, the method comprising the following steps: Obtain wireless service demand information for rail transit, and divide all remote radio frequency units into multiple different cells based on the wireless service demand information; According to the preset antenna combination rules, the antenna signals of the far-end radio frequency units in the same cell are selected to generate antenna data; Based on antenna data, perform radio resource allocation and management for each cell; The steps to obtain wireless service requirements information for rail transit include the following: Based on the user density in train carriages and the average service demand of each user in a train carriage, the wireless service demand information for the average area of ​​rail transit trains is determined. Based on the coverage area information of each remote radio unit and the wireless service demand information of the average area of ​​the train, the wireless service demand information of rail transit generated within the coverage area of ​​each remote radio unit when the train passes through each remote radio unit is estimated. or, Obtain the actual measured traffic volume at the current location of the train; The average traffic volume of the train during the current period is calculated based on the actual traffic volume measured at the current location of the train. The average traffic volume of trains in the current time period is used as the wireless service demand information for rail transit in the next time period. The steps involve dividing all remote radio units into multiple different cells based on wireless service requirements information, including the following steps: The capacity of multiple remote radio units is determined based on the average spectral efficiency of the remote radio units and the available bandwidth information of each cell. Determine whether the wireless service demand information within the coverage area of ​​the remote radio frequency unit is lower than a preset threshold. Remote radio frequency units below the threshold value are merged into one cell.

2. The method according to claim 1, characterized in that, The preset antenna combination rules include antenna combination rules for remote radio frequency units and antenna port mapping rules.

3. A mobile communication networking system for rail transit, characterized in that, include: Multiple remote radio frequency units; The controller is used to acquire wireless service demand information of rail transit and divide all remote radio frequency units into multiple different cells according to the wireless service demand information. A centralized switch, connected to the controller, is used to select antenna signals from remote radio frequency units in the same cell according to preset antenna combination rules and generate antenna data. The baseband processing unit is connected to the controller and the central switch respectively, and is used to perform radio resource allocation and management for each cell based on antenna data; The controller includes: The first wireless service demand information acquisition module is used to determine the wireless service demand information of the average area of ​​the rail transit train based on the user density of the train carriage and the average service demand of each user in the train carriage; and to estimate the wireless service demand information of the rail transit generated within the coverage area of ​​each remote radio unit when the train passes through each remote radio unit based on the coverage area information of each remote radio unit and the wireless service demand information of the average area of ​​the train. The controller also includes: The second wireless service demand information acquisition module is used to acquire the actual measured service volume of the cell where the train is currently located; to calculate the average service volume of the train in the current period based on the actual measured service volume; and to use the average service volume of the train in the current period as the wireless service demand information of the rail transit in the next period. The controller also includes: The cell division module is used to determine the capacity of multiple remote radio units based on the average spectral efficiency of the remote radio units and the available bandwidth information of each cell; determine whether the wireless service demand information within the coverage area of ​​the remote radio units is lower than a preset threshold; and merge remote radio units that are lower than the preset threshold into one cell.

4. The system according to claim 3, characterized in that, The preset antenna combination rules include antenna combination rules for remote radio frequency units and antenna port mapping rules.

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