User access method and system in general inductance calculation control fusion network, and storage medium

Abstract

The invention discloses a user access method and system in a general sensing calculation control fusion network, and a storage medium. The method comprises the following steps: collecting a communication demand and a sensing demand of a user; calculating an uplink and downlink communication signal to interference plus noise ratio and a sensing signal to interference plus noise ratio of each base station; calculating the calculation load information of each base station; calculating the priority of each base station according to the utility function, and selecting the base station with the highest priority to access; and carrying out constraint condition check, and if communication quality and computing resource constraints are met, accessing the base station by the user, and updating the system state. By adopting the technical scheme of the invention, the base station which is most suitable for executing communication, sensing and calculation tasks is selected by evaluating the sensing coverage capability of each base station and the current network sensing calculation load, so that the communication, sensing and calculation performance of the network can be effectively ensured, and the network load balancing is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of information processing, and particularly relates to a user access method and system, and a storage medium in a communication-sensing-computing-control integrated network. Background Art

[0002] In a communication-sensing-computing-control integrated network, users not only have traditional communication requirements, but also need to sense target information in the surrounding environment to support application scenarios such as intelligent driving, augmented reality (AR), and industrial automation. Due to the limited computing resources of user equipment, directly executing computing tasks locally may lead to high energy consumption and latency. Therefore, users usually rely on base stations for computing offloading, offloading some or all computing tasks to the base station side for processing, thereby improving the task execution efficiency. The base station not only undertakes communication tasks, but also needs to perform tasks such as sensing and positioning, target detection, and recognition, which poses higher requirements for its computing ability. Since task execution depends on low-latency, high-reliability transmission, high-precision sensing, and real-time computing, the base station needs to have powerful computing capabilities to support both communication and sensing tasks simultaneously, thereby improving sensing accuracy and the real-time nature of task processing. As the network scale grows, heterogeneous network architectures gradually emerge, and different base stations have different communication, sensing, and computing capabilities. In this scenario, user equipment needs to select the optimal access point among multiple heterogeneous base stations to optimize communication latency, computing cost, and sensing accuracy. The base station selection depends not only on the communication link quality, but also on the computing resources and sensing capabilities. For example, a base station with high computing power is suitable for high-complexity tasks, while a base station with high sensing accuracy is suitable for target detection tasks. In a communication-sensing-computing-control integrated network, the base station can provide communication services for users while sensing the targets around the users, and can process the data offloaded by users and the data obtained by sensing, so as to generate and transmit instructions in real time according to the obtained data. Currently, most access mechanisms focus on communication quality, ignoring the influence of sensing and computing capabilities, and it is difficult to meet the requirements of communication-sensing-computing-control integration. However, in the actual base station deployment scenario, the communication, sensing, and computing capabilities of different base stations are different, and there is also the problem of unbalanced user access load. Users need to select the optimal access point according to the heterogeneous capabilities of each base station. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a user access method and system, and a storage medium in a communication-sensing-computing-control integrated network.

[0004] To achieve the above object, the present invention adopts the following technical solutions: A user access method in a communication-sensing-computing-control integrated network, comprising: Collecting the communication requirements and sensing requirements of the user; Calculating the uplink and downlink communication signal-to-interference-plus-noise ratios and sensing signal-to-interference-plus-noise ratios of each base station according to the communication requirements and sensing requirements of the user; Calculate the computing load information of each base station according to the communication requirements and sensing requirements of the user; Calculate the priority of each base station according to the utility function and select the base station with the highest priority for access; Conduct constraint condition checks. If the communication quality and computing resource constraints are met, the user accesses the base station and the system state is updated.

[0005] Preferably, the utility function is: ; where B is the user access load bias factor, , and correspond to the uplink and downlink communication signal-to-interference-plus-noise ratios and the sensing signal-to-interference-plus-noise ratio respectively, and correspond to the obtained communication computing load information and sensing computing load information respectively, , , , represent the weight factors of each parameter, and + + + .

[0006] The present invention also provides a user access system in a communication, sensing, computing, and control integrated network, including: A first processing module for collecting the communication requirements and sensing requirements of the user; A second processing module for calculating the uplink and downlink communication signal-to-interference-plus-noise ratios and the sensing signal-to-interference-plus-noise ratio of each base station; A third processing module for calculating the computing load information of each base station; A fourth processing module for calculating the priority of each base station according to the utility function and selecting the base station with the highest priority for access; A fifth processing module for conducting constraint condition checks. If the communication quality and computing resource constraints are met, the user accesses the base station and the system state is updated.

[0007] Preferably, the utility function is: ; where B is the user access load bias factor, , and correspond to the uplink and downlink communication signal-to-interference-plus-noise ratios and the sensing signal-to-interference-plus-noise ratio respectively, and correspond to the obtained communication computing load information and sensing computing load information respectively, , , , represents the weight factors of each parameter, and + + + .

[0008] The present invention also provides a storage medium, on which a computer program is stored, and the computer program executes the user access method in the communication, sensing, computing and control fusion network when running.

[0009] The present invention calculates the SINR of communication and sensing through the information acquisition and processing module, and obtains the corresponding computing load from the communication and sensing data information in the received signal; the decision module inputs the obtained information into the utility function and selects the base station with the largest utility function value; the access module controls the access of the user, the user sends an access request to the target base station, and the base station receives the request and establishes a connection. The present invention has the following technical effects: By evaluating the communication, sensing and coverage capabilities of each base station and the current communication, sensing and computing load of the network, the present invention selects the most suitable base station to execute communication, sensing and computing tasks, which can effectively ensure the communication, sensing and computing performance of the network and achieve network load balancing.

[0010] 2. According to the signal-to-interference-plus-noise ratio of the received signals of communication and sensing and the communication, sensing and computing load, the present invention establishes a multi-objective utility function by using the weighted summation method for the changing network environment, and realizes the modeling of user access in the heterogeneous communication, sensing, computing and control fusion network. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative work.

[0012] Figure 1 It is a flowchart of the user access method in the communication, sensing, computing and control fusion network according to the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0013] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0014] To make the above objects, features, and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0015] Embodiment 1: As Figure 1 shown, an embodiment of the present invention provides a user access method in a communication-sensing-computation-control integrated network, including: Collect the communication requirements and sensing requirements of the user; Calculate the uplink and downlink communication signal-to-interference-plus-noise ratios (SINRs) and sensing SINRs of each base station; Calculate the computing load information of each base station; Calculate the priority of each base station according to the utility function and select the base station with the highest priority for access; Perform constraint condition checking. If the communication quality and computing resource constraints are satisfied, the user accesses the base station and updates the system state.

[0016] As an implementation manner of the embodiment of the present invention, the utility function includes: uplink and downlink communication SINRs, sensing SINRs, computing load information, and base station load balancing factor.

[0017] As an implementation manner of the embodiment of the present invention, select the target access base station based on the SINR of the communication and sensing signals received with bias and the computing loads of the corresponding communication and sensing tasks.

[0018] Embodiment 2: As Figure 1 shown, an embodiment of the present invention further provides a user access method in a communication-sensing-computation-control integrated network, including: Step 1, initialize the base station parameter configuration and user information. The base station parameter configuration includes: transmit power , computing rate ; the user information includes: user location information, user surrounding sensing target location information, user transmit power .

[0019] Step 2, when the user generates communication and sensing requirements, a task request will be sent to the base station. The communication requirements involve data upload and computing offloading, that is, the user hopes that the base station helps to process computing tasks and the control instructions generated after the base station finishes data processing are sent back; the sensing requirements require the base station to sense the user's surrounding environment, such as positioning, identifying nearby objects or obstacles. After receiving the user request, the base station needs to evaluate whether it can meet the user's requirements, including whether the channel quality is good and whether the computing resources are sufficient.

[0020] Step 3: The base station receives the communication and sensing requirements of the user, evaluates whether it can meet the user's requirements, calculates the communication signal quality of the user and the quality of the sensing echo signal. At the same time, the base station obtains the computing load according to the received data volume and computing rate. Specifically, it includes: Step 3.1: The base station receives the communication service request from the user, simultaneously senses the surrounding environment of the user to obtain sensing information, and transmits the control instruction in real time. Given the channel environment, calculate the SINR of the uplink and downlink communication received signals, and the SINR of the sensing echo signal. The SINR expression of the uplink and downlink communication received signals is ; ; where, and are the user transmit beam gain and receive beam gain respectively, and are the transmit beam gain and receive beam gain of the base station respectively, is the channel small-scale fading factor, is the path loss factor, , and are the distance from the user to the base station, the distance from the uplink interfering user to the base station, and the distance from the downlink interfering base station to the user respectively, [[ID=3l]] is the noise interference power received by the communication signal.

[0021] The SINR expression of the sensing echo signal is ; where, is the scattering cross-section parameter of the sensing target, and are the distance from the target to the base station and the distance from other interfering base stations to the base station respectively, is the noise interference power received by the echo signal.

[0022] Therefore, the communication SINR depends on the transmit power and receiving ability of the user, the transmit power and receiving ability of the base station, and the channel condition; the sensing SINR is related to factors such as the sensing ability of the base station and environmental interference.

[0023] Step 3.2: The information processing module at the base station will process the received communication signal and sensing signal to obtain the size of the communication and sensing data volume within the corresponding unit processing time, that is, and , and obtain the corresponding computing load information according to the allocated communication and sensing computing resources. The computing load sizes of communication and sensing are ; Step 4: Calculate the utility function L of each base station and sort them. The user selects the base station with the largest utility function to access. Specifically, it includes: Step 4.1: The utility function is defined as: ; where B is the user access load bias factor. For the purpose of load balancing, when the user's needs can be met, the micro base station can be preferentially accessed. Therefore, the bias factor of the micro base station is greater than that of the macro base station. , and correspond to the uplink and downlink communication signal-to-interference-plus-noise ratio and the sensing signal-to-interference-plus-noise ratio respectively. and correspond to the obtained communication computing load information and sensing computing load information respectively. The larger the computing load information, the longer the processing time. Therefore, the user selects the base station with a smaller computing load to access. , , , represents the weight factors of each parameter, satisfying the condition: + + + .

[0024] Step 4.2: Starting from the first user, each user calculates the utility function of each base station, sorts them in descending order, and finds the base station with the largest utility function value to be accessed.

[0025] Step 5: Judge whether the constraint conditions are met under the current access state, specifically including: Step 5.1: Judge whether the SINR of the received signal is greater than the preset threshold to ensure the minimum service quality of the user. If it is greater than the threshold, proceed to the next judgment; if it is less than the threshold, judge whether all base stations in the system have been traversed.

[0026] Step 5.2: Since the computing resources of the base station are limited, it is necessary to judge whether the communication and sensing computing load information is greater than the base station computing load threshold. If it is less, the user selects this base station to achieve access; if it is greater, judge whether all base stations in the system have been traversed.

[0027] Step 5.3: When the SINR of the communication and sensing received signal is less than the threshold or the communication and sensing data volume exceeds the computing load threshold, other base stations need to be selected and judged for connection in combination with the utility function. If all base stations have been traversed and the constraint conditions are not met, the user enters the blocking stage and cannot be provided with communication, sensing, and computing services.

[0028] When Step 6 meets the above constraints, the user successfully accesses the base station. The system will update the computing resource occupancy of the base station, the access status of the user, and recalculate the base station utility function for subsequent user access decisions. This process continues until all users complete access or some users cannot access due to insufficient system resources.

[0029] Embodiment 3: The embodiment of the present invention further provides a user access system in a communication-sensing-computing-control integrated network, including: The first processing module is used to collect the communication requirements and sensing requirements of the user; The second processing module is used to calculate the uplink and downlink communication signal-to-interference-plus-noise ratios and sensing signal-to-interference-plus-noise ratios of each base station; The third processing module is used to calculate the computing load information of each base station; The fourth processing module is used to calculate the priority of each base station according to the utility function and select the base station with the highest priority for access; The fifth processing module is used to perform constraint condition checking. If the communication quality and computing resource constraints are met, the user accesses the base station and the system status is updated.

[0030] As an implementation manner of the embodiment of the present invention, the utility function is: ; where B is the user access load bias factor, , and correspond to the uplink and downlink communication signal-to-interference-plus-noise ratios and sensing signal-to-interference-plus-noise ratios respectively, and correspond to the obtained communication computing load information and sensing computing load information respectively, , , , represents the weight factors of each parameter, and + + + .

[0031] Embodiment 4: The embodiment of the present invention further provides a storage medium, on which a computer program is stored, and the computer program executes the user access method in the communication-sensing-computing-control integrated network when running.

[0032] The above embodiments are only descriptions of the preferred embodiments of the present invention, and do not limit the scope of the present invention. Without departing from the design spirit of the present invention, various deformations and improvements made by those of ordinary skill in the art to the technical solutions of the present invention shall fall within the protection scope determined by the claims of the present invention.

Claims

1. A user access method in a synaesthesia computing and control fusion network, characterized in that, Including: Collect the communication requirements and sensing requirements of the user; According to the communication requirements and sensing requirements of the user, calculate the uplink and downlink communication signal-to-interference-plus-noise ratios and sensing signal-to-interference-plus-noise ratios of each base station; According to the communication requirements and sensing requirements of the user, calculate the computing load information of each base station; Calculate the priorities of each base station according to the utility function, and select the base station with the highest priority for access; Perform constraint condition checks. If the communication quality and computing resource constraints are met, the user accesses the base station and updates the system state.

2. The user access method in the communication, sensing, computing and control integrated network according to claim 1, wherein: Utility function is as follows: ； Among them, B is the user access load bias factor, , and correspond to the uplink and downlink communication signal-to-interference-plus-noise ratios and the sensing signal-to-interference-plus-noise ratio respectively, and correspond to the obtained communication computing load information and sensing computing load information respectively, , , , represent the weight factors of each parameter, and + + + .

3. A user access system in a synaesthesia computing and control fusion network, characterized in that, Including: The first processing module is used to collect the communication requirements and sensing requirements of the user; The second processing module is used to calculate the uplink and downlink communication signal-to-interference-plus-noise ratios and sensing signal-to-interference-plus-noise ratios of each base station; The third processing module is used to calculate the computing load information of each base station; The fourth processing module is used to calculate the priorities of each base station according to the utility function, and select the base station with the highest priority for access; The fifth processing module is used to perform constraint condition checks. If the communication quality and computing resource constraints are met, the user accesses the base station and updates the system state.

4. The user access system in the communication, sensing, computing and control integrated network according to claim 3, wherein: The utility function is: ； where B is the user access load bias factor, 、 and correspond to the uplink and downlink communication signal-to-interference-plus-noise ratios and the sensing signal-to-interference-plus-noise ratio respectively, and correspond to the obtained communication computing load information and sensing computing load information respectively, , , , represent the weight factors of each parameter, and + + + .

5. A storage medium, characterized in that, A computer program is stored on the storage medium, and the computer program executes the user access method in the communication, sensing, computing and control integrated network according to any one of claims 1-2 when running.

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