Method for selecting nodes in sensing integrated system based on weighted capacity

Abstract

The invention discloses a node selection method in a communication and inductance integrated system based on weighted capacity, which can reasonably schedule nodes in the system and select proper nodes for transmission. Specifically, the system selects the node with the maximum weighting capacity as the current working node by evaluating the communication capacity and the sensing capacity of each node, and dynamically adjusts the working states of the nodes. Through the scheduling mechanism, waste of resources can be effectively avoided, the overall performance of the system is maximized, and the system is balanced in communication and perception.

Description

Technical Field

[0001] The present invention relates to a node selection method in an integrated communication and sensing system, characterized by selecting appropriate nodes for transmission according to the characteristics of the integrated communication and sensing system. Background Art

[0002] Integrated Sensing and Communication (ISAC) technology is a product of the continuous integration of wireless communication and sensing technologies in recent years and has gradually become a cutting-edge technology in modern communication systems. The integrated communication and sensing system can simultaneously achieve efficient signal transmission and accurate environmental perception by integrating traditional communication functions and sensing functions. The core idea of this technology is to break the limitation of the independent operation of communication and sensing technologies in the past by sharing system resources (such as spectrum, hardware platforms, signal processing algorithms, etc.), fully explore the potential of resources, and then improve the performance and efficiency of the overall system. In existing ISAC systems, nodes that need to communicate and sense simultaneously at the current moment are generally randomly selected, which results in low system performance. Therefore, the present invention provides a node selection method in an integrated communication and sensing system based on weighted capacity. Summary of the Invention

[0003] The purpose of the present invention is to provide a node selection method in an integrated communication and sensing system based on weighted capacity, and the technical problem to be solved is: in an integrated communication and sensing system, how to reasonably perform node scheduling and select appropriate nodes for transmission to improve the overall performance of the system.

[0004] To achieve the above purpose, the present invention adopts the following technical solutions:

[0005] A node selection method in an integrated communication and sensing system based on weighted capacity, the integrated communication and sensing system includes a communication transmitter, n nodes, and a sensing transceiver. The nodes are both communication receiving nodes and nodes to be sensed.

[0006] Step 1, system channel estimation to obtain the channel h between the communication transmitter and the i-th node 1i , the channel h between the sensing transmitter and the i-th node 2i , where i is a positive integer from 1 to n;

[0007] Step 2, calculate the communication capacity and sensing capacity of the system, and select appropriate nodes for communication and sensing at the current moment based on the weighted optimal principle of both communication capacity and sensing capacity, that is, according to select the transmission node, where argmax represents the value of the independent variable when the function reaches the maximum value, w1 and w2 represent the weighting coefficients, P1 represents the transmission power of the communication transmitter, and P2 represents the transmission power of the sensing transceiver. represents the received noise power of the node represents the received noise power of the sensing transceiver

[0008] Step 3: The communication transmitter sends a communication signal to the node determined in Step 2, and the sensing transceiver sends a sensing signal to the node determined in Step 2 and receives the reflected signal

[0009] Step 4: When the channel in the system changes, return to Step 1 and select nodes according to the above steps

[0010] Compared with the traditional random node selection method, the present invention selects appropriate nodes for communication and sensing at the current moment based on the weighted optimal principle of both communication capacity and sensing capacity, realizes the reasonable selection and scheduling of nodes, and improves the overall communication and sensing capabilities of the communication and sensing integrated system Description of the Drawings

[0011] Figure 1 is a schematic structural diagram of a communication and sensing integrated system based on weighted capacity according to the present invention

[0012] Figure 2 is a schematic flow diagram of a node selection method in a communication and sensing integrated system based on weighted capacity according to the present invention

[0013] Figure 3 is a comparison diagram of the weighted system capacity between the node selection method and the node random selection scheme in a communication and sensing integrated system based on weighted capacity according to the present invention Detailed Embodiments

[0014] The following is further described in conjunction with the drawings and specific embodiments

[0015] Embodiment 1

[0016] As Figure 1 shown, a communication and sensing integrated system based on weighted capacity includes a communication transmitter, n nodes, and a sensing transceiver. The nodes are both communication receiving nodes and nodes to be sensed, where n≥1

[0017] The communication transmitter sends a communication signal to the i-th node. The transmission power of the communication transmitter is P1, and the communication signal received by the node side is where h 1i represents the channel from the communication transmitter to the i-th node, x c represents the communication signal, and n 1i represents the received noise with power at the i-th node, and the corresponding communication capacity is where B is the channel bandwidth, represents the received noise power of the node

[0018] The sensing transceiver sends a sensing signal to the i-th node. The transmission power of the sensing transceiver is P2, and the signal received by the sensing transceiver reflected from the node is where h 2i represents the channel from the communication transmitter to the i-th node, x s represents the sensing signal, and n 2i represents the received noise with power at the i-th node, represents the received noise power of the sensing transceiver, and the corresponding sensing capacity is

[0019] As Figure 2 shown, the node selection method in the integrated communication and sensing system based on weighted capacity is implemented by the following steps:

[0020] Step 1: System channel estimation to obtain the channel h 1i between the communication transmitter and the i-th node, and the channel h 2i between the sensing transmitter and the i-th node, where i is a positive integer from 1 to n;

[0021] Step 2: Calculate the communication capacity and sensing capacity of the system. Based on the weighted optimal principle of both the communication capacity and the sensing capacity, select a suitable node for communication and sensing at the current moment, that is, select the transmission node according to where argmax represents the value of the independent variable when the function reaches its maximum value, and w1 and w2 represent the weighting coefficients;

[0022] Step 3: The communication transmitter sends a communication signal to the node determined in Step 2, and the sensing transceiver sends a sensing signal to the node determined in Step 2 and receives the reflected signal;

[0023] Step 4: When the channel in the system changes, return to Step 1 and select nodes according to the above steps.

[0024] Figure 3 The weighted capacity performance difference between the above method and the random node selection method is compared, where n = 10, P1 = P2 = P, w1 = 0.3 and w2 = 0.7. It can be seen that the proposed scheme of the present invention can achieve better weighted capacity compared with the random node selection.

Claims

1. A node selection method in a synaesthesia integrated system based on weighted capacity, characterized in that: The synaesthesia integrated system includes a communication transmitter, n nodes, and a sensing transceiver, wherein the node is both a communication receiving node and a node to be sensed; Step 1: System channel estimation, obtain the channel h between the communication transmitter and the i-th node 1i , the channel h between the sensing transmitter and the i-th node 2i , i is a positive integer from 1 to n; Step 2: Calculate the communication capacity and perception capacity of the system. Based on the weighted optimal principle of communication capacity and perception capacity, select the appropriate node for communication and perception at the current moment. Select the transmission node, where argmax represents the value of the independent variable when the function takes the maximum value, w1 and w2 represent weighting coefficients, P1 represents the transmission power of the communication transmitter, and P2 represents the transmission power of the sensing transceiver. represents the node receiving noise power, represents the perceived transceiver receiving noise power; Step 3: The communication transmitter sends a communication signal to the node determined in step 2, and the sensing transceiver sends a sensing signal to the node determined in step 2, and receives a reflected signal; Step 4: When the channel in the system changes, return to step 1 and select the node according to the above steps.

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