A wireless communication transmission method, device, and computer device for realizing the deep integration of communication, sensing, and computing

Abstract

The present invention proposes a wireless communication transmission method for realizing the deep integration of communication, sensing and computing, including adding a distributed sensing module, a centralized sensing module, a distributed computing and analysis module, and a centralized computing and analysis module on the basis of the existing radio access network; selecting a transmission process that triggers sensing according to the task source; selecting a sensing method according to the service requirements of the task source, and executing corresponding transmission sub-schemes through a communication and sensing integrated base station to obtain local sensing data, and selecting a transmission process according to the service requirements; if the task source is a short-time scale service, directly send the local sensing data to the task source, otherwise upload the local sensing data to the centralized computing and processing center for further processing.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technologies, and particularly to a wireless communication transmission scheme for realizing deep integration of communication, sensing, and computing. Background Art

[0002] In recent years, the rapidly growing diverse intelligent applications have put forward more and higher performance requirements for wireless communication networks. Along with the increasing maturity of wireless communication technologies and wireless sensing technologies, the computing and sensing capabilities of communication nodes have been continuously enhanced, and the demand for the cross-integration of communication, sensing, and computing functions of communication services in data-driven new 6G intelligent applications has become increasingly prominent. However, the three dimensions of traditional wireless network communication, sensing, and computing are mutually separated and governed, making it difficult to adapt to the performance requirements of emerging 6G intelligent applications.

[0003] In the prior art, the sensing function is usually deployed in the network in two forms. One is integrated as a distributed module in the system, and the sensing data processing flow is independent of the communication function. However, if it is necessary to process the sensing data of multiple base stations, the performance requirements for the central base station are relatively high, and it is not applicable to wide-area scenarios. The other is a deep integration of a centralized module with the existing network element architecture, relying on the existing network element functions to implement functions such as sensing triggering and sensing data processing, but the data transmission process is long and it is not applicable to low-latency scenarios.

[0004] Aiming at the above problems existing in the prior art, how to enable the network to adaptively select the transmission process according to different sensing service requirements in various scenarios is a problem to be solved. Summary of the Invention

[0005] The present invention aims to solve at least one of the technical problems in the related art to some extent.

[0006] To this end, an object of the present invention is to propose a wireless communication transmission method for realizing deep integration of communication, sensing, and computing, so as to enable the network to have the ability to adaptively select the transmission process according to different sensing service requirements in various scenarios.

[0007] To achieve the above object, a first aspect embodiment of the present invention proposes a wireless communication transmission method for realizing deep integration of communication, sensing, and computing, including:

[0008] Adding a distributed sensing module, a centralized sensing module, a distributed computing and analysis module, and a centralized computing and analysis module on the basis of the existing radio access network, wherein the distributed sensing module is deployed in a communication and sensing integrated base station, the distributed computing and analysis module is deployed in an edge computing device, and the centralized sensing module and the centralized computing and analysis module are deployed in a centralized computing and processing center;

[0009] Select the transmission process that triggers perception according to the task source; select the perception method according to the service requirements of the task source, execute the corresponding transmission sub-scheme through the communication and perception integrated base station to obtain local perception data, and select the transmission process according to the service requirements;

[0010] If the task source is a short-time scale service, directly send the local perception data to the task source, otherwise upload the local perception data to the centralized computing and processing center for further processing.

[0011] In addition, a wireless communication transmission method for realizing deep integration of communication, perception and computing according to the above embodiments of the present invention may further have the following additional technical features:

[0012] Further, in an embodiment of the present invention, the task source is a user or a third party; wherein,

[0013] When the task source is a user, send a perception request to the core network through the user equipment, and the perception request includes the perception service type, service requirements, and perception data reporting period;

[0014] When the task source is a third party, send a perception request to the core network through the application function, and the perception request includes the perception service type, service requirements, and perception data reporting period.

[0015] Further, in an embodiment of the present invention, it further includes:

[0016] The distributed perception module is used to perform perception signal processing on the perception signal to obtain local perception data;

[0017] The distributed computing and analysis module is used to analyze the local perception data, obtain the analysis result, perform local resource allocation on communication, perception, and computing resources according to the analysis result, and send the result of the local resource allocation to the communication and perception integrated base station;

[0018] The centralized perception module is used to jointly perform fusion processing on the local perception data with the centralized computing and analysis module to obtain global perception information; and analyze the global perception information, perform global allocation of communication, perception, and computing resources according to the analysis result of the global perception information, and send the result of the global resource allocation to the edge computing device;

[0019] Among them, there are interfaces between the distributed perception module, the centralized perception module, the distributed computing and analysis module, and the centralized computing and analysis module.

[0020] Further, in an embodiment of the present invention, the transmission sub-scheme includes:

[0021] The base station non - cooperative sensing and transmission sub - scheme, the base station - to - base station cooperative sensing and transmission sub - scheme, and the fusion sensing and transmission sub - scheme.

[0022] Further, in an embodiment of the present invention, it is characterized in that

[0023] The base station non - cooperative sensing and transmission sub - scheme includes: receiving a sensing control request through a communication - sensing integrated base station; performing local sensing through the communication - sensing integrated base station; obtaining local sensing data through the communication - sensing integrated base station; and selecting a transmission process through the communication - sensing integrated base station.

[0024] The base station - to - base station cooperative sensing and transmission sub - scheme includes: receiving a sensing control request through a first communication - sensing integrated base station; performing local sensing through the first communication - sensing integrated base station; obtaining local sensing data through a second communication - sensing integrated base station; and selecting a transmission process through the second communication - sensing integrated base station.

[0025] Further, in an embodiment of the present invention, the fusion sensing and transmission sub - scheme includes:

[0026] Receiving a sensing control request through a first communication - sensing integrated base station and a second communication - sensing integrated base station; sending a sensing control signaling to a user equipment (UE) through the first communication - sensing integrated base station; performing UE - side sensing by the UE to obtain UE - side sensing data; performing base - station - side sensing by the first communication - sensing integrated base station and the second communication - sensing integrated base station to obtain first base - station - side sensing data and second base - station - side sensing data; reporting the UE - side sensing data by the UE to the first communication - sensing integrated base station; and selecting a transmission process through the first communication - sensing integrated base station and the second communication - sensing integrated base station.

[0027] Wherein, for short - time - scale services, the first base - station - side sensing data and the UE - side sensing data are transmitted to an edge computing device through the first communication - sensing integrated base station for edge - side fusion to obtain first local sensing data, and the first local sensing data is directly sent to the task source.

[0028] Further, in an embodiment of the present invention, the sensing methods include base station non - cooperative sensing, base station - to - base station cooperative sensing, and fusion sensing; the selection of the transmission process for triggering sensing according to the task source includes:

[0029] The communication - sensing integrated base station selects whether to transmit local sensing data to a centralized computing and processing center according to the sensing service requirements, specifically including:

[0030] For short - time - scale services, the local sensing data is directly sent to the task source.

[0031] For high-precision requirement services, the communication and sensing integrated base station transmits local sensing data to the distributed computing and analysis module and reports it to the centralized sensing module. The centralized sensing module jointly processes the local sensing data with the centralized computing and analysis module to obtain global sensing information. The centralized sensing module sends the global sensing information to the task source, and the centralized computing and analysis module performs global resource allocation based on the global sensing information and sends the global resource allocation result to the edge computing device; the distributed computing and analysis module performs local resource allocation based on the local sensing data and sends the local resource allocation result to the task source.

[0032] To achieve the above object, an embodiment of the second aspect of the present invention provides a wireless communication transmission device for realizing deep integration of communication, sensing and computing, which is applied to the above-mentioned wireless communication transmission method for realizing deep integration of communication, sensing and computing, and is characterized by including:

[0033] A distributed sensing module, which is applied to the communication and sensing integrated base station and is used for processing sensing signals to obtain local sensing data;

[0034] A distributed computing and analysis module, which is applied to the edge computing device and is used for analyzing the local sensing data, performing local resource allocation on communication, sensing and computing resources according to the analysis result of the local sensing data, and sending the local resource allocation result to the communication and sensing integrated base station;

[0035] A centralized sensing module, which is applied to the centralized computing and processing center and is used for jointly processing the local sensing data with the centralized computing and analysis module to obtain global sensing information;

[0036] A centralized computing and analysis module, which is applied to the centralized computing and processing center and is used for jointly completing the fusion processing of sensing data with the centralized sensing module to obtain global sensing information, analyzing the global sensing information, performing global allocation of communication, sensing and computing resources according to the analysis result of the global sensing information, and sending the global resource allocation result to the edge computing device.

[0037] To achieve the above object, an embodiment of the third aspect of the present invention provides a computer device, which is characterized by including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the above-mentioned wireless communication transmission method for realizing deep integration of communication, sensing and computing is implemented.

[0038] The wireless communication transmission method for realizing the deep integration of communication, sensing, and computing proposed in the embodiments of the present invention adds a distributed sensing module, a centralized sensing module, a distributed computing and analysis module, and a centralized computing and analysis module on the basis of the existing radio access network. The communication-sensing integrated base station can select whether to send the local sensing data to the task source according to service requirements. Since there are differences in the sensing effects brought by different sensing modes, it is difficult to meet the service requirements by using one sensing mode to serve all sensing services. For different sensing service requirements, three transmission sub-schemes are also divided, which can solve the problem that it is difficult for the existing technology to adaptively select the transmission process for different sensing service requirements in multiple scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The above and / or additional aspects and advantages of the present invention will become apparent and be readily understood from the following description of the embodiments in conjunction with the drawings, where:

[0040] Figure 1 is a schematic flowchart of a wireless communication transmission scheme for realizing the deep integration of communication, sensing, and computing provided by an embodiment of the present invention;

[0041] Figure 2 is a transmission flowchart of a user equipment (UE) or application function (AF) triggering sensing provided by an embodiment of the present invention;

[0042] Figure 3 is a flowchart of a base station non-cooperative sensing transmission sub-scheme for realizing the deep integration of communication, sensing, and computing provided by an embodiment of the present invention;

[0043] Figure 4 is a flowchart of a base station inter-cooperative sensing transmission sub-scheme for realizing the deep integration of communication, sensing, and computing provided by an embodiment of the present invention;

[0044] Figure 5 is a flowchart of a fusion sensing transmission sub-scheme for realizing the deep integration of communication, sensing, and computing provided by an embodiment of the present invention;

[0045] Figure 6 is a schematic diagram of a new radio access network architecture for realizing the deep integration of communication, sensing, and computing provided by an embodiment of the present invention;

[0046] Figure 7 is a schematic diagram of a wireless communication transmission device for realizing the deep integration of communication, sensing, and computing provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0047] Embodiments of the present invention will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0048] The following describes a wireless communication transmission method for realizing deep integration of communication, sensing, and computing according to an embodiment of the present invention with reference to the accompanying drawings.

[0049] Embodiment 1

[0050] Figure 1 It is a flowchart of a wireless communication transmission method for realizing deep integration of communication, sensing, and computing provided by an embodiment of the present invention.

[0051] As Figure 1 shown, the wireless communication transmission method for realizing deep integration of communication, sensing, and computing includes the following steps:

[0052] S101: Add a distributed sensing module, a centralized sensing module, a distributed computing and analysis module, and a centralized computing and analysis module on the basis of the existing radio access network. The distributed sensing module is deployed in the communication and sensing integrated base station, the distributed computing and analysis module is deployed in the edge computing device, and the centralized sensing module and the centralized computing and analysis module are deployed in the centralized computing and processing center;

[0053] The present invention provides a new radio access network architecture for realizing the integration of communication, sensing, and computing. As Figure 6 shown.

[0054] Upgrade and transform the base station, edge computing device, and centralized computing and processing center. Add a distributed sensing module to the base station to make it a communication and sensing integrated base station; add a distributed computing and analysis module to the edge computing device to enable it to analyze and process local sensing data and generate local resource allocation decisions; add a centralized sensing module and a centralized computing and analysis module to the centralized computing and processing center to enable it to globally fuse and analyze sensing data and generate global resource allocation decisions.

[0055] Specifically, add modules: a distributed sensing module, a centralized sensing module, a distributed computing and analysis module, and a centralized computing and analysis module. There are interfaces between the modules. The distributed sensing module is deployed in the communication and sensing integrated base station, the distributed computing and analysis module is deployed in the edge computing device, and the centralized sensing module and the centralized computing and analysis module are deployed in the centralized computing and processing center.

[0056] New communication entities: integrated communication and sensing base stations, edge computing devices, and centralized computing and processing centers. There are n integrated communication and sensing base stations, each of which has a distributed sensing module, each edge computing device has a distributed computing and analysis module, and the centralized computing and processing center has a centralized sensing module and a centralized computing and analysis module. Multiple distributed sensing modules upload sensing data to the distributed computing and analysis modules for local analysis and processing, and each distributed computing and analysis module uploads the sensing data to the centralized sensing module. The centralized sensing module and the centralized computing and analysis module jointly complete the global analysis and processing of the sensing data.

[0057] The distributed sensing module is deployed in the integrated communication and sensing base station and can perform sensing signal processing on the sensing signal to obtain local sensing data; the format of the local sensing data is the point cloud information of the signal strength, and each point in the point cloud represents a parameter group composed of speed, distance, direction, etc.; the sensing signal processing includes: according to the delay time between the echo signal and the transmitted signal and the propagation speed of electromagnetic waves in the air, through the formula calculate the distance between the sensing target and the antenna of the integrated communication and sensing base station, where t r is the delay time between the echo signal and the transmitted signal, c is the propagation speed of electromagnetic waves in the air, and s is the distance between the sensing target and the antenna of the integrated communication and sensing base station; according to the propagation speed of electromagnetic waves in the air, the Doppler frequency shift, and the transmission frequency of the integrated communication and sensing waveform, through the formula calculate the speed of the sensing target, where the Doppler frequency shift is the frequency offset between the transmission frequency of the integrated communication and sensing waveform and the frequency of the echo signal. Among them, f′0 - f0 is the Doppler frequency shift, f′0 is the frequency of the received echo signal, and f0 is the frequency of the transmitted signal; use the spatial steering vector obtained by array signal processing and the direction of arrival (DOA) estimation technology to obtain the direction where the sensing target is located. The direction of arrival (DOA) estimation technology includes, but is not limited to, beamforming method, MUSIC algorithm, etc.

[0058] The centralized sensing module is deployed in the centralized computing and processing center and can jointly perform fusion processing on the local sensing data with the centralized computing and analysis module to obtain global sensing information. The sensing data processing includes: according to the type of sensing data request, process the local sensing data uploaded by the integrated communication and sensing base station, provide sensing target information for the sensing service, and perform fusion and collaborative processing on the multi-station sensing data, so as to improve the sensing performance. The processing methods include, but are not limited to, point cloud clustering, point cloud target detection, etc. The global sensing information includes, but is not limited to, sensing target type, sensing target speed, etc.

[0059] The distributed computing analysis module is deployed on the edge computing device, which can analyze the local perception data, allocate local resources for communication, perception, and computing according to the analysis results of the local perception data, and send the local resource allocation results to the communication-perception integrated base station.

[0060] The centralized computing analysis module is deployed in the centralized computing processing center, which can jointly complete the fusion processing of the perception data with the centralized perception module to obtain the global perception information, analyze the global perception information, allocate global resources for communication, perception, and computing according to the analysis results of the global perception information, and send the global resource allocation results to the edge computing device.

[0061] Through the distributed computing analysis module and the centralized computing analysis module, flexible scheduling and efficient utilization of network resources can be achieved.

[0062] Furthermore, in an embodiment of the present invention, it further includes:

[0063] The distributed perception module is used to process the perception signal to obtain local perception data;

[0064] The distributed computing analysis module is used to analyze the local perception data, obtain the analysis results, allocate local resources for communication, perception, and computing according to the analysis results, and send the results of the local resource allocation to the communication-perception integrated base station;

[0065] The centralized perception module is used to jointly perform fusion processing on the local perception data with the centralized computing analysis module to obtain global perception information; and analyze the global perception information, allocate global resources for communication, perception, and computing according to the analysis results of the global perception information, and send the results of the global resource allocation to the edge computing device;

[0066] Among them, there are interfaces between the distributed perception module, the centralized perception module, the distributed computing analysis module, and the centralized computing analysis module.

[0067] S102: Select the transmission process that triggers perception according to the task source; select the perception method according to the service requirements of the task source, execute the corresponding transmission sub-scheme through the communication-perception integrated base station, obtain local perception data, and select the transmission process according to the service requirements;

[0068] Furthermore, in an embodiment of the present invention, the task source is a user or a third party; among them,

[0069] When the task source is a user, a perception request is sent from the user device to the core network, and the perception request includes the perception service type, service requirements, and perception data reporting period;

[0070] When the task source is a third party, a sensing request is sent to the core network through the application function. The sensing request includes the sensing service type, service requirements, and sensing data reporting period.

[0071] Specifically, for step S102, the task source is a user or a third party. Figure 2 It is a transmission flow chart of user equipment (UE) or application function (AF) triggering sensing provided by an embodiment of the present invention. As Figure 2 shown, this process includes the following steps:

[0072] Step S201a, when the task source is a user, the user equipment (UE) sends a sensing request to the core network. The sensing request includes the sensing service type, service requirements, sensing data reporting period, etc.

[0073] Step S201b, when the task source is a third party, the application function (AF) sends a sensing request to the core network. The sensing request includes the sensing service type, service requirements, sensing data reporting period, etc.

[0074] Step S202, select a sensing method according to the service requirements.

[0075] The service requirements refer to the comprehensive evaluation performance indicators such as sensing range, resolution, positioning accuracy, maximum sensing speed, time delay, detection probability, etc.

[0076] The sensing methods include non-cooperative sensing of base stations, cooperative sensing between base stations, and fusion sensing.

[0077] The selection of the sensing method according to the service requirements includes: for services with high time delay requirements, select non-cooperative sensing of base stations; for services with high-speed movement, select cooperative sensing between base stations; for services with a large sensing range, select fusion sensing.

[0078] Further, in an embodiment of the present invention, the selection of the sensing method according to the service requirements of the task source includes:

[0079] For services with high time delay requirements, select non-cooperative sensing of base stations and execute the non-cooperative sensing transmission sub-scheme of base stations; for services with high-speed movement, select cooperative sensing between base stations and execute the cooperative sensing transmission sub-scheme between base stations; for services with a large sensing range, select fusion sensing and execute the fusion sensing transmission sub-scheme.

[0080] Step S203, the core network sends a sensing control request to the communication and sensing integrated base station.

[0081] The sensing control request includes the sensing service type, service requirements, sensing data reporting period, etc.

[0082] Specifically, the core network selects a communication and sensing integrated base station according to the target information and sensing method. If the core network selects non-cooperative sensing of the base station, it sends a sensing control request to the communication and sensing integrated base station; if the core network selects cooperative sensing between base stations, it sends a sensing control request to the first communication and sensing integrated base station; if the core network selects fusion sensing, it sends a sensing control request to the first and second communication and sensing integrated base stations.

[0083] Step S204: Select a corresponding transmission sub-scheme based on the sensing method;

[0084] The transmission sub-scheme includes a non-cooperative sensing transmission sub-scheme of the base station, a cooperative sensing transmission sub-scheme between base stations, and a fusion sensing transmission sub-scheme;

[0085] The step S204 includes: Step S204a, if it is non-cooperative sensing of the base station, execute the non-cooperative sensing transmission sub-scheme of the base station; Step S204b, if it is cooperative sensing between base stations, execute the cooperative sensing transmission sub-scheme between base stations; Step S204c, if it is fusion sensing, execute the fusion sensing transmission sub-scheme.

[0086] Furthermore, in an embodiment of the present invention, the transmission sub-scheme includes:

[0087] A non-cooperative sensing transmission sub-scheme of the base station, a cooperative sensing transmission sub-scheme between base stations, and a fusion sensing transmission sub-scheme.

[0088] Furthermore, in an embodiment of the present invention,

[0089] The non-cooperative sensing transmission sub-scheme of the base station includes: receiving a sensing control request through the communication and sensing integrated base station; performing local sensing through the communication and sensing integrated base station; obtaining local sensing data through the communication and sensing integrated base station; and selecting a transmission process through the communication and sensing integrated base station;

[0090] The cooperative sensing transmission sub-scheme between base stations includes: receiving a sensing control request through the first communication and sensing integrated base station; performing local sensing through the first communication and sensing integrated base station; obtaining local sensing data through the second communication and sensing integrated base station; and selecting a transmission process through the second communication and sensing integrated base station.

[0091] Furthermore, in an embodiment of the present invention, the fusion sensing transmission sub-scheme includes:

[0092] Receive a sensing control request through a first communication-sensing integrated base station and a second communication-sensing integrated base station; send sensing control signaling to a user equipment (UE) through the first communication-sensing integrated base station; perform UE-side sensing through the UE to obtain UE-side sensing data; perform base station-side sensing through the first communication-sensing integrated base station and the second communication-sensing integrated base station to obtain first base station-side sensing data and second base station-side sensing data; report the UE-side sensing data to the first communication-sensing integrated base station through the UE; select a transmission process through the first communication-sensing integrated base station and the second communication-sensing integrated base station;

[0093] Among them, if it is a short-time scale service, the first communication-sensing integrated base station transmits the first base station-side sensing data and the UE-side sensing data to an edge computing device for edge-side fusion, obtains first local sensing data, and directly sends the first local sensing data to the task source.

[0094] Step S205, the centralized sensing module and the centralized computing and analysis module jointly perform global sensing. Specifically, the centralized sensing module jointly processes the local sensing data with the centralized computing and analysis module to obtain global sensing information. The processing of the sensing data includes: processing the local sensing data uploaded by the communication-sensing integrated base station according to the type of sensing data request, providing sensing target information for the sensing service, and performing fusion and collaborative processing on the multi-station sensing data, so as to improve the sensing performance. The fusion processing methods include but are not limited to point cloud clustering, point cloud object detection, etc. The global sensing information includes but is not limited to the type of sensing target, the speed of the sensing target, etc.

[0095] Step S206, the centralized sensing module sends a sensing response to the centralized computing and analysis module, and the sensing response is the global sensing information.

[0096] Step S207, the centralized computing and analysis module performs global resource allocation according to the sensing response to obtain a computing response, and the computing response is the result of global resource allocation;

[0097] Step S208, the centralized sensing module sends down the sensing response, and the centralized computing and analysis module sends down the computing response. Step S208 includes: Step S208a, if the task source is a user, the centralized sensing module sends down the sensing response to the UE; Step S208b, if the task source is a third party, the centralized sensing module sends down the sensing response to the AF; Step S208c, the centralized computing and analysis module sends down the sensing response to the edge computing device.

[0098] S103: If the task source is a short-time scale service, directly send the local sensing data to the task source, otherwise upload the local sensing data to the centralized computing and processing center for further processing;

[0099] Further, in an embodiment of the present invention, the sensing methods include non - cooperative sensing by the base station, cooperative sensing between base stations, and fusion sensing; according to the task source, the transmission process for triggering sensing is selected, including:

[0100] The communication - sensing integrated base station selects whether to transmit local sensing data to the centralized computing and processing center according to the sensing service requirements, specifically including:

[0101] If it is a short - time - scale service, the local sensing data is directly sent to the task source;

[0102] If it is a high - precision - requirement service, the communication - sensing integrated base station transmits the local sensing data to the distributed computing and analysis module and reports it to the centralized sensing module. The centralized sensing module jointly processes the local sensing data with the centralized computing and analysis module to obtain global sensing information. The centralized sensing module sends the global sensing information to the task source, and the centralized computing and analysis module performs global resource allocation according to the global sensing information and sends the global resource allocation result to the edge computing device; the distributed computing and analysis module performs local resource allocation according to the local sensing data and sends the local resource allocation result to the task source.

[0103] Embodiment 2

[0104] As Figure 3 shown, Figure 3 is a flowchart of a non - cooperative sensing transmission sub - scheme for a base station to achieve deep integration of communication, sensing, and computing provided by an embodiment of the present invention. This process includes the following steps:

[0105] Step S301, the communication - sensing integrated base station receives a sensing control request, and the sensing control request includes the sensing service type, service requirements, sensing data reporting period, etc.;

[0106] Step S302, the communication - sensing integrated base station performs local sensing. Specifically, the communication - sensing integrated base station sends a communication - sensing integrated waveform to the target, and the target can be the target environment or the target UE;

[0107] Step S303, the communication - sensing integrated base station receives the object sensing echo and obtains local sensing data at the distributed sensing module using the sensing signal processing method;

[0108] Step S304, the distributed sensing module adaptively selects the transmission process according to the sensing service requirements;

[0109] Specifically, if it is a short - time - scale service, the local perception data is directly sent to the AF or UE. If it is a service with high - precision requirements, the communication - sensing integrated base station executes steps S305, S306, S205, S206, S207, and S208. In step S305, the distributed perception module transmits the local perception data to the distributed computing and analysis module and uploads it to the centralized perception module for further processing. In step S306, the distributed computing and analysis module performs local resource allocation based on the local perception data and sends the local resource allocation result to the communication - sensing integrated base station.

[0110] Embodiment 3

[0111] As Figure 4 shown Figure 4 is a flowchart of a collaborative perception transmission sub - scheme between base stations for realizing deep integration of communication, perception, and computing provided by an embodiment of the present invention. This process includes the following steps:

[0112] Step S401, the first communication - sensing integrated base station receives a perception control request, and the perception control request includes a perception service type, service requirements, a perception data reporting period, etc.;

[0113] Step S402, the first communication - sensing integrated base station performs local perception. Specifically, the first communication - sensing integrated base station sends a communication - sensing integrated waveform to the target, and the target can be a target environment or a target UE;

[0114] Step S403, the second communication - sensing integrated base station receives the object perception echo, and the distributed perception module located in the second communication - sensing integrated base station uses the perception signal processing method to obtain local perception data;

[0115] Step S404, the distributed perception module located in the second communication - sensing integrated base station selects a transmission process according to the perception service requirements;

[0116] Specifically, if it is a short - time - scale service, the distributed perception module located in the second communication - sensing integrated base station directly sends the local perception data to the AF or UE. If it is a service with high - precision requirements, the distributed perception module located in the second communication - sensing integrated base station executes steps S405, S406, S205, S206, S207, and S208. In step S405, the distributed perception module located in the second communication - sensing integrated base station transmits the local perception data to the distributed computing and analysis module and reports it to the centralized perception module for further processing. In step S406, the distributed computing and analysis module performs local resource allocation based on the local perception data and sends the local resource allocation result to the communication - sensing integrated base station.

[0117] Embodiment 4

[0118] AsFigure 5 As shown Figure 5 is a flowchart of a fusion perception transmission sub - scheme for realizing the deep fusion of communication perception computing provided by an embodiment of the present invention. The process includes the following steps:

[0119] Step S501, the first communication - perception integrated base station and the second communication - perception integrated base station receive a perception control request, where the perception control request includes a perception service type, service requirements, a perception data reporting period, etc.;

[0120] Step S502, the first communication - perception integrated base station sends a perception control signaling to the UE, where the perception control signaling includes a perception service type, service requirements, a perception data reporting period, etc.;

[0121] Step S503 includes step S503a, step S503b, and step S503c. Step S503a is that the UE calls its own terminal perception function to perform UE - side perception. Steps S603b and S603c are that the first and second communication - perception integrated base stations send a communication - perception integrated waveform to the target to perform base - station - side perception, and the target can be a target environment or a target UE;

[0122] Step S504 includes step S504a, step S504b, and step S504c. Step S504a is that the UE obtains UE - side perception data. Step S504b is that the first communication - perception integrated base station receives an object perception echo, and the distributed perception module located in the first communication - perception integrated base station uses the perception signal processing method to obtain the first base - station - side perception data. Step S504c is that the second communication - perception integrated base station receives an object perception echo, and the distributed perception module located in the second communication - perception integrated base station uses the perception signal processing method to obtain the second base - station - side perception data;

[0123] Step S505, the UE reports the UE - side perception data to the first communication - perception integrated base station;

[0124] Step S506, the first and second communication - perception integrated base stations select a transmission process according to the perception service requirements;

[0125] Specifically, if it is a short - time - scale service, the first communication - perception integrated base station executes steps S507 and S508; if it is a high - precision - requirement service, it executes steps S509, S510, S205, S206, S207, and S208;

[0126] Step S507 is that the first communication - perception integrated base station transmits the first base - station - side perception data and the UE - side perception data to the edge computing device;

[0127] Step S508 is that the distributed computing and analysis module located in the edge computing device performs edge-side fusion processing on the first station-side perception data and the UE-side perception data to obtain the first local perception data, and directly sends the first local perception data to the AF or the UE. The edge-side fusion processing is the same as the fusion processing method in step S205.

[0128] Step S509 includes step S509a and step S509b. Step S509a is that the first communication and perception integrated base station transmits the first station-side perception data and the UE-side perception data to the distributed computing and analysis module and reports them to the centralized perception module for further processing. Step S509b is that the second communication and perception integrated base station transmits the second station-side perception data to the distributed computing and analysis module and reports them to the centralized perception module for further processing.

[0129] Step S510 is that the distributed computing and analysis module located in the edge computing device performs local resource allocation according to the first station-side perception data, the UE-side perception data, and the second station-side perception data to obtain the local resource allocation result, and sends the local resource allocation result to the communication and perception integrated base station.

[0130] The wireless communication transmission method for realizing the deep fusion of communication perception computing proposed in the embodiment of the present invention adds a distributed perception module, a centralized perception module, a distributed computing and analysis module, and a centralized computing and analysis module on the basis of the existing radio access network. The communication and perception integrated base station can choose whether to send the local perception data to the task source according to the service requirements. Since there are differences in the perception effects brought by different perception modes, it is difficult to meet the service requirements by using one perception mode to serve all perception services. For different perception service requirements, three transmission sub-schemes are also divided, which can solve the problem that the network in the prior art is difficult to adaptively select the transmission process for different perception service requirements in multiple scenarios.

[0131] To implement the above embodiment, the present invention also proposes a wireless communication transmission device for realizing the deep fusion of communication perception computing.

[0132] Figure 7 It is a schematic structural diagram of a wireless communication transmission device for realizing the deep fusion of communication perception computing provided by the embodiment of the present invention.

[0133] As Figure 7 shown, the wireless communication transmission device for realizing the deep fusion of communication perception computing is applied to the above wireless communication transmission method for realizing the deep fusion of communication perception computing, and includes: a distributed perception module 100, a distributed computing and analysis module 200, a centralized perception module 300, and a centralized computing and analysis module 400, where

[0134] A distributed sensing module, which is applied to an integrated communication and sensing base station and is used to process sensing signals to obtain local sensing data;

[0135] A distributed computing and analysis module, which is applied to an edge computing device and is used to analyze local sensing data, perform local resource allocation for communication, sensing, and computing resources according to the analysis results of the local sensing data, and send the allocation results of the local resources to the integrated communication and sensing base station;

[0136] A centralized sensing module, which is applied to a centralized computing and processing center and is used to jointly perform fusion processing on the local sensing data with the centralized computing and analysis module to obtain global sensing information;

[0137] A centralized computing and analysis module, which is applied to a centralized computing and processing center and is used to jointly complete the fusion processing of sensing data with the centralized sensing module to obtain global sensing information, analyze the global sensing information, perform global allocation of communication, sensing, and computing resources according to the analysis results of the global sensing information, and send the allocation results of the global resources to the edge computing device.

[0138] To achieve the above object, an embodiment of the third aspect of the present invention provides a computer device, which is characterized by including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the wireless communication transmission method for realizing deep integration of communication, sensing, and computing as described above is implemented.

[0139] In the description of this specification, the descriptions referring to terms such as "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0140] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" can explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0141] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A wireless communication transmission method for realizing deep integration of communication, sensing, and computing, characterized in that: A distributed sensing module, a centralized sensing module, a distributed computing and analysis module, and a centralized computing and analysis module are added on the basis of the existing radio access network. The distributed sensing module is deployed in the communication and sensing integrated base station, the distributed computing and analysis module is deployed in the edge computing device, and the centralized sensing module and the centralized computing and analysis module are deployed in the centralized computing and processing center; Select the transmission process that triggers sensing according to the task source; select the sensing method according to the service requirements of the task source, execute the corresponding transmission sub-scheme through the communication and sensing integrated base station to obtain local sensing data, and select the transmission process according to the service requirements. Among them, the sensing methods include non-cooperative sensing of the base station, cooperative sensing between base stations, and fusion sensing; If it is a short-time scale service, directly send the local sensing data to the task source; If it is a high-precision requirement service, the communication and sensing integrated base station transmits the local sensing data to the distributed computing and analysis module and reports it to the centralized sensing module. The centralized sensing module jointly processes the local sensing data with the centralized computing and analysis module to obtain global sensing information. The centralized sensing module sends the global sensing information to the task source, and the centralized computing and analysis module performs global resource allocation according to the global sensing information and sends the global resource allocation result to the edge computing device; the distributed computing and analysis module performs local resource allocation according to the local sensing data and sends the local resource allocation result to the task source.

2. The method according to claim 1, characterized in that, The task source is a user or a third party; among them, When the task source is a user, a sensing request is sent to the core network through the user equipment. The sensing request includes the sensing service type, service requirements, and sensing data reporting period; When the task source is a third party, a sensing request is sent to the core network through the application function. The sensing request includes the sensing service type, service requirements, and sensing data reporting period.

3. The method according to claim 1, characterized in that, It also includes: The distributed sensing module is used to perform sensing signal processing on the sensing signal to obtain local sensing data; The distributed computing and analysis module is used to analyze the local sensing data, obtain the analysis result, perform local resource allocation on communication, sensing, and computing resources according to the analysis result, and send the result of the local resource allocation to the communication and sensing integrated base station; The centralized sensing module is used to jointly process the local sensing data with the centralized computing and analysis module to obtain global sensing information; and analyze the global sensing information, perform global allocation of communication, sensing, and computing resources according to the analysis result of the global sensing information, and send the result of the global resource allocation to the edge computing device; Among them, there are interfaces between the distributed sensing module, the centralized sensing module, the distributed computing and analysis module, and the centralized computing and analysis module.

4. The method according to claim 1, wherein The transmission sub-scheme includes: The non-cooperative sensing transmission sub-scheme of the base station, the cooperative sensing transmission sub-scheme between base stations, and the fusion sensing transmission sub-scheme.

5. The method according to claim 4, wherein the non - cooperative sensing and transmission sub - scheme of the base station includes: receiving a sensing control request through a communication - sensing integrated base station; performing local sensing through the communication - sensing integrated base station; obtaining local sensing data through the communication - sensing integrated base station; and selecting a transmission process through the communication - sensing integrated base station; the cooperative sensing and transmission sub - scheme between base stations includes: receiving a sensing control request through a first communication - sensing integrated base station; performing local sensing through the first communication - sensing integrated base station; obtaining local sensing data through a second communication - sensing integrated base station; and selecting a transmission process through the second communication - sensing integrated base station.

6. The method according to claim 4, wherein The fusion sensing and transmission sub - scheme includes: receiving a sensing control request through a first communication - sensing integrated base station and a second communication - sensing integrated base station; sending a sensing control signaling to a user equipment (UE) through the first communication - sensing integrated base station; performing UE - side sensing by the UE to obtain UE - side sensing data; performing base - station - side sensing by the first communication - sensing integrated base station and the second communication - sensing integrated base station to obtain first base - station - side sensing data and second base - station - side sensing data; reporting the UE - side sensing data by the UE to the first communication - sensing integrated base station; and selecting a transmission process through the first communication - sensing integrated base station and the second communication - sensing integrated base station; wherein, if it is a short - time - scale service, the first base - station - side sensing data and the UE - side sensing data are transmitted to an edge computing device through the first communication - sensing integrated base station for edge - side fusion to obtain first local sensing data, and the first local sensing data is directly sent to the task source.

7. The method according to claim 1, wherein Selecting the sensing method according to the service requirements of the task source includes: For services with high latency requirements, select non - cooperative sensing of the base station and execute the non - cooperative sensing and transmission sub - scheme of the base station; for high - speed mobile services, select cooperative sensing between base stations and execute the cooperative sensing and transmission sub - scheme between base stations; for services with a large sensing range, select fusion sensing and execute the fusion sensing and transmission sub - scheme.

8. A wireless communication transmission device for realizing the deep integration of communication, sensing and computing, applied to the wireless communication transmission method as described in claim 1, characterized in that, including: a distributed sensing module, applied to a communication - sensing integrated base station, for processing sensing signals to obtain local sensing data; a distributed computing and analysis module, applied to an edge computing device, for analyzing the local sensing data, performing local resource allocation for communication, sensing, and computing resources according to the analysis result of the local sensing data, and sending the allocation result of the local resources to the communication - sensing integrated base station; a centralized sensing module, applied to a centralized computing and processing center, for jointly performing fusion processing on the local sensing data with the centralized computing and analysis module to obtain global sensing information; A centralized computing and analysis module, which is applied to a centralized computing and processing center, is used to jointly complete the fusion processing of sensed data with a centralized sensing module to obtain global sensing information, analyze the global sensing information, globally allocate communication, sensing, and computing resources according to the analysis results of the global sensing information, and send the allocation results of global resources to edge computing devices.

9. A computer device, characterized in that, It includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements the wireless communication transmission method for realizing deep fusion of communication, sensing, and computing as described in any one of claims 1-7.

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