Time slot allocation method for communication and inductance integrated system

Abstract

The invention discloses a time slot allocation method for a communication and inductance integrated system. The time slot allocation can be dynamically adjusted according to channel conditions and constraints. Specifically, the system determines the current time slot working state of the system by evaluating the current channel information and constraints, and whether communication signal transmission or sensing is carried out. Through the mechanism, the working state of the system can be arranged more efficiently, and the average normalized capacity of the system is maximized.

Description

Technical Field

[0001] The present invention relates to a time slot allocation method in an integrated sensing and communication system, characterized in arranging the working states of the system in different time slots according to the channel information and constraints (T cmax and T cmax ) of the integrated sensing and communication system. Background Art

[0002] Traditional communication systems transmit information by sending and receiving wireless signals between a base station and user nodes (such as mobile phones). Traditional radar sensing systems refer to radars that emit radio signals and then perform sensing by detecting and analyzing the reflected signals of objects to be detected, obtaining information such as the shape, size, and position of the objects to be detected. Integrated Sensing and Communication (ISAC) means that in the same system, through sharing radio wave resources, the deep integration of communication and sensing functions is achieved. This technology enables the communication system to sense changes in the surrounding environment, such as the positioning, speed, shape, etc. of targets, while transmitting information, so as to provide support for further improving communication quality or other services. The integrated sensing and communication technology has been included in the 6G standardization agenda and has become one of the basic core technologies of the 6G network. In the next-generation mobile communication system, through the endogenous integrated spectrum resource sharing, hardware architecture design, air interface design, multi-point cooperation, and all-round interaction of information, the collaborative improvement of communication and sensing capabilities can be achieved. In an integrated sensing and communication system, how to balance the resources consumed by the communication part and the sensing part in the system is a key factor affecting the system performance. For a time-division communication and sensing integrated system, the communication function and the sensing function work in different time slots. The increase in communication time slots may affect the sensing effect, and vice versa. Therefore, simply randomly allocating the time slots for communication and sensing cannot achieve the optimal performance of the system. Summary of the Invention

[0003] The purpose of the present invention is to provide a time slot allocation method for an integrated sensing and communication system, which solves the problem of how to reasonably arrange time slots to improve the average normalized capacity in the existing communication and sensing integrated system.

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

[0005] A time slot allocation method for an integrated sensing and communication system,

[0006] The communication and sensing integrated system consists of a transmitter, a user node, and n sensing receivers, where n≥1, and the user node is both a communication receiving node and a node to be sensed;

[0007] Step 1, initialize the counter T of the previous communication time slot c= 0, the previous sensing time slot counter T s = 0, the maximum number of time slot intervals T between two adjacent communications of the system is determined according to system requirements cmax and the maximum number of time slot intervals T between two adjacent sensing operations s max , the normalization factor w;

[0008] Step 2, perform system channel estimation to obtain the channel h between the communication transmitter and the user node, and the channel g between the user node and the i-th sensing receiver i , where i is a positive integer from 1 to n;

[0009] Step 3, calculate the communication capacity and the sensing capacity where B represents the system bandwidth, and represent the received noise power at the communication receiver and the sensing receiver respectively, and P is the transmission power of the transmitter;

[0010] Step 4, if T c > T cmax , perform communication in the current time slot, T c = 0, T s = T s + 1, and then go back to Step 2 after completion, otherwise go to Step 5;

[0011] Step 5, if T s > T smax , perform sensing in the current time slot, T s = 0, T c = T c + 1, and then go back to Step 2 after completion, otherwise go to Step 6;

[0012] Step 6, if C c ≥ wC s , perform communication in the current time slot, T c = 0, T s = T s + 1, and then go back to Step 2 after completion; otherwise perform sensing in the current time slot, T s = 0, T c = T c + 1, and then go back to Step 2 after completion.

[0013] Compared with the traditional random time slot arrangement method, the present invention reasonably allocates the time slot resources of the communication and sensing integrated system, arranges the working state of each time slot of the system according to system parameters, greatly improves the average normalized capacity of the system, and improves the overall capabilities of system communication and sensing. Description of the Drawings

[0014] Figure 1This is a schematic diagram of the system structure of the present invention.

[0015] Figure 2 This is a schematic diagram of the claim process of the present invention.

[0016] Figure 3 This is a comparison chart of the system capacity between Embodiment 1 of the present invention and the random time slot allocation scheme. Detailed implementation manners

[0017] The following further describes in conjunction with the accompanying drawings and specific embodiments.

[0018] Embodiment 1

[0019] The communication and sensing integrated system is as Figure 1 shown, and is composed of a transmitter, a user node, and n sensing receivers, where n≥1. The user node is both a communication receiving node and a node to be sensed, and the transmitter can also be used as a sensing receiver..

[0020] The working duration of the system is represented by time T. T is evenly divided into M time slots, and the duration of each time slot is t, so T = Mt. The present invention maximizes the system time slot capacity by reasonably arranging the communication and sensing time slots. In order to evaluate the overall performance of the communication and sensing integrated system, the present invention defines the normalized capacity. That is, for the communication time slot, the normalized capacity of this time slot is the corresponding communication capacity. For the sensing time slot, the sensing capacity is weighted as the normalized capacity of this time slot. And the average normalized capacity is the average value of the normalized capacities of all time slots of the system.

[0021] As Figure 2 shown, the time slot allocation method in the communication and sensing integrated system is realized by the following steps:

[0022] Step 1, initialize the previous communication time slot counter T c = 0, the previous sensing time slot counter T s = 0, determine the maximum number of time slot intervals T cmax between two adjacent communications in the system according to the system requirements and the maximum number of time slot intervals T s max between two adjacent sensing operations, the normalization factor w, tT cmax is the maximum duration between two adjacent communication time slots, and tT smax is the maximum duration between two adjacent sensing time slots;

[0023] Step 2, perform system channel estimation to obtain the channel h between the communication transmitter and the user node, and the channel g between the user node and the i-th sensing receiver i , where i is a positive integer from 1 to n;

[0024] Step 3, calculate the communication capacity respectively and the sensing capacity where B represents the system bandwidth, and respectively represent the received noise power at the communication receiver and the sensing receiver, P is the transmission power of the transmitter,

[0025] If communication is carried out in a certain time slot, the transmitter sends a communication signal, and the user node receives the communication signal. The user node is the communication receiver, and the communication capacity of this time slot is C c , C c is also the normalized capacity of this time slot; if sensing is carried out in a certain time slot, the transmitter sends a sensing signal, and after the user node reflects it, other sensing receivers receive the reflected sensing signal of the user. The other sensing receivers are the sensing receivers, and the sensing capacity of this time slot is C s , wCs is used as the normalized capacity of this time slot;

[0026] Step Four, if T c >T cmax , communicate in the current time slot, T c =0, T s =T s +1, after completion, go to Step Two, otherwise go to Step Five;

[0027] Step Five, if T s >T smax , sense in the current time slot, T s =0, T c =T c +1, after completion, go to Step Two, otherwise go to Step Six;

[0028] Step Six, if C c ≥wC s , communicate in the current time slot, T c =0, T s =T s +1, after completion, go to Step Two; otherwise sense in the current time slot, T s =0, T c =T c +1, after completion, go to Step Two.

[0029] Figure 3 The difference in the system average normalized capacity performance between the above method and the random time slot arrangement is compared, where n = 10, w = 1, T s max =T cmax =10, it can be seen that the scheme described in the present invention can achieve better weighted capacity compared with the random time slot allocation selection.

Claims

1. A time slot allocation method for a synaesthesia integration system, characterized in that: The communication and perception integrated system is composed of a transmitter, a user node and n perception receivers, n≥1, and the user node is both a communication receiving node and a node to be perceived; Step 1: Initialize the previous communication time slot counter T c =0, the last sensing time slot counter T s = 0, determine the maximum number of time slot intervals between two adjacent communications according to system requirements T cmax and the maximum number of time slots between two adjacent perceptions T smax , normalization factor w; Step 2: System channel estimation, obtain the channel h between the communication transmitter and the user node, and the channel g between the user node and the i-th sensing receiver i , i is a positive integer from 1 to n; Step 3: Calculate the communication capacity and perceived capacity Where B represents the system bandwidth, and They represent the noise power received by the communication receiving end and the perception receiving end respectively, and P is the transmitter transmission power; Step 4: If T c >T cmax , current time slot communication, T c =0, T s =T s +1, if completed, go to step 2, otherwise go to step 5; Step 5: If T s >T smax , current time slot perception, T s =0, T c =T c +1, if completed, go to step 2, otherwise go to step 6; Step 6: If C c ≥wC s , current time slot communication, T c =0, T s =T s +1, go to step 2 after completion; otherwise, the current time slot is sensed, T s =0, T c =T c +1, go to step 2 when done.

Images