Scheduling method for communication and sensing integrated access points under cloud access architecture

Abstract

The invention discloses a communication and perception integrated access point scheduling method under a cloud access architecture, which comprises the following steps of: firstly, finding a set for storing all possible accumulation results of mutual combination of module values h1, h2, h3... hn, then finding an optimal module value sum in the set, and finding an optimal module value and a corresponding access node based on a phi function; therefore, a communication-purpose access node set psi and a sensing-purpose access node set Phi are obtained, and switching of the access point between transmitting and sensing receiving can be dynamically adjusted according to channel conditions. Specifically, in a half-duplex cloud access system, different access point working modes are arranged according to channel conditions, part of access points serve as transmitters to send signals, and the other access points serve as sensing receivers. Through the arrangement of the access points by the mechanism, the overall performance of communication and perception of the system can be further improved.

Description

Technical Field

[0001] The present invention relates to a scheduling method for communication and sensing integrated access points in a cloud access architecture, characterized by arranging the working states of a large number of access points in a cloud access system according to the channel information of the communication and sensing integrated system. Background Art

[0002] Cooperative Communication and Sensing Integration refers to the organic combination of communication technology and sensing technology (such as sensors like radar, vision, sonar, etc.), and improves the sensing ability and communication efficiency of the system through cooperation. With the increasing demand of modern wireless communication technology and emerging applications such as the Internet of Things and autonomous driving, this integrated technology background has gradually become a research and application hotspot. Wireless Cloud Access refers to the way of connecting to a cloud computing platform through wireless communication technology, using a wireless network to interconnect user devices and cloud services to achieve efficient data processing, storage, and resource sharing. In a wireless cloud access system, a large number of access nodes are connected to the cloud through optical fibers, and the received signals can be sent to the cloud for integrated processing, providing a basis for the realization of cooperative communication and sensing integration. Summary of the Invention

[0003] The purpose of the present invention is to provide a scheduling method for communication and sensing integrated access points in a cloud access architecture, which solves the problem of how to determine which of a large number of access nodes send communication signals and which receive sensing signals in order to optimize the overall performance of the communication and sensing integrated system in the cloud access architecture.

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

[0005] The scheduling method for communication and sensing integrated access points in a cloud access architecture is implemented by the following steps:

[0006] The scheduling method for communication and sensing integrated access points in a cloud access architecture is applied to a communication and sensing integrated system in a cloud access architecture, which includes a cloud center, n access nodes, and 1 user, where n≥1. The user is both a communication receiving node and a node to be sensed. All access nodes are divided into two sets, the communication-purpose access node set Ψ and the sensing-purpose access node set Φ;

[0007] Step 1, system channel estimation, to obtain the channels between all access points and the user in the system, and the channel h between the i-th access point and the user node, where i is a positive integer from 1 to n; i and i is a positive integer from 1 to n;

[0008] Step 2, initialize the value set D0 of a as {0}, k = 0, Ψ = {}, Define the function μ such that for any i, μ(|h i |) = i;

[0009] Step 3, k = k + 1. For each s ∈ D k-1 , if then update φ(s + |h k |) = s, where h k represents the channel between the k-th access node and the user, and D k-1 represents the set of values of a in the (k - 1)-th iteration, and s represents any element taken from the set of values;

[0010] Step 4, D k = D k-1 ∪{s + |h k || s ∈ D k-1}

[0011] Step 5, if k < n, repeat Steps 3 and 4 until k = n to obtain the set of values of a, D n , and then proceed to the next step;

[0012] Step 6, t = a * , where argmax represents the value of the independent variable that satisfies the function to take the maximum value;

[0013] Step 7, if (i.e., t ≠ 0), Ψ = Ψ ∪ {μ(t - φ(t))}, t = φ(t), and repeat this step until the access node set Ψ for communication purposes and the access node set Φ for sensing purposes are obtained.

[0014] The present invention arranges the working states of each access node in the system according to parameters such as channel state information in the system, improving the overall communication and sensing capabilities of the communication and sensing integrated system. Brief Description of the Drawings

[0015] Figure 1 is a schematic structural diagram of the communication and sensing integrated system under the cloud access architecture related to the present invention.

[0016] Figure 2 is a schematic flowchart of the access point scheduling method in the communication and sensing integrated system under the cloud access architecture related to the present invention.

[0017] Figure 3 is a comparison diagram of the system capacity between the access point scheduling method and the random node allocation scheme described in Embodiment 1 of the present invention. Detailed Embodiments

[0018] The following is further described in conjunction with the drawings and specific embodiments.

[0019] Example 1

[0020] As Figure 1 shown, in the communication and sensing integrated system under the cloud access architecture, it consists of a cloud center, n access nodes (radio frequency remote units), and 1 user, where n≥1. The user is both a communication receiving node and a node to be sensed. If m access nodes are access nodes for communication purposes and are used to send communication signals, and the remaining n - m access nodes are access nodes for sensing purposes and are used to receive reflected signals. Therefore, all access nodes are divided into two sets according to their functions, the set Ψ of access nodes for communication purposes and the set Φ of access nodes for sensing purposes, and the set Ψ and the set Φ are complementary sets to each other.

[0021] First, the access node for communication purposes sends a signal x. When sending, pre - coding is performed according to the maximum ratio transmission criterion, and the received signal at the user side is

[0022]

[0023] where z j represents the received noise at the user side, and its power is σ 2 , P is the transmission power of each access node, and h j is the channel coefficient between the communication - purpose access point j and the user node, where j∈Ψ.

[0024] Then, the signal received by the j'-th access node for sensing purposes is

[0025]

[0026] where z j′ represents the received noise at the j'-th access node for sensing purposes, and its power is also σ 2 , h j′ is the channel coefficient between the sensing - purpose access point j' and the user node, where j'∈Φ.

[0027] Finally, through centralized processing in the cloud, the communication capacity C com and the sensing capacity C sen of the system are respectively

[0028]

[0029] Therefore, in order to maximize the overall capacity C com +C sen of the system, a dynamic programming algorithm is introduced to optimize and construct the function f(a)=(1 + ca 2 )[1 + c(T - a)a], where a represents the sum of the moduli of the channels corresponding to all communication - purpose access nodes in the set Ψ, and c = P / σ 2, T represents the sum of the modulus values of the channels corresponding to all access nodes.

[0030] As Figure 2 shown, the access point scheduling method in the communication and sensing integrated system under the cloud access architecture is implemented by the following steps:

[0031] Step 1, system channel estimation, to obtain the channels between all access points and users in the system. The channel between the i-th access point and the user node is h i , where i is a positive integer from 1 to n;

[0032] Step 2, initialize the value set D0 of a as {0}, k = 0, Ψ = {}, Define the function μ, for any i, μ(|h i |) = i;

[0033] Step 3, k = k + 1, for each s ∈ D k-1 , if then update φ(s + |h k |) = s, h k represents the channel between the k-th access node and the user, D k-1 represents the value set in the (k - 1)-th loop, and s represents any element taken from the value set D k-1 ;

[0034] Step 4, D k = D k-1 ∪ {s + |h k ||s ∈ D k-1}

[0035] Step 5, if k < n, then go to Step 3 until k = n, to obtain the value set D of a. Through Steps 3 and 4, a set D containing all possible cumulative results of the combined modulus values of |h1|, |h2|, |h3|... |h n | is obtained, and then proceed to the next step; n |, and then proceed to the next step; n

[0036] Step 6, t = a * , argmax represents the value of the independent variable when the function takes the maximum value. Through this step, the optimal modulus sum in D n satisfying the above conditions is found;

[0037] Step 7, if (i.e., t ≠ 0), Ψ = Ψ ∪ {μ(t - φ(t))}, t = φ(t), repeat this step until Through this step, the optimal modulus value and the corresponding access nodes are found, that is, the set of access nodes Ψ for communication purposes is obtained, and the set of access nodes Φ for sensing purposes is obtained according to the complement of Ψ with respect to the universal set {1, 2, …, n}.

[0038] Figure 3 The performance differences between the above method and the random access point function arrangement are compared, and it can be seen that the scheme described in the present invention can achieve a better sum of communication and sensing capacities compared with random node selection.

Claims

1. A communication-aware integrated access point scheduling method under a cloud access architecture, characterized in that: This is accomplished by the following steps: The communication-awareness integrated access point scheduling method under cloud access architecture is applied to the communication-awareness integrated system under cloud access architecture, which includes a cloud center, n access nodes and 1 user, n≥1, the user is both a communication receiving node and a node to be sensed, all access nodes are divided into two sets, the communication purpose access node set Ψ and the perception purpose access node set Φ; Step 1: System channel estimation, obtain the channels between all access points and users in the system, and the channel h between the i-th access point and the user node i , i is a positive integer from 1 to n; Step 2: Initialize the value set of a D0 = {0}, k=0,Ψ={}, Define a function μ, for any i, μ(|h i |)=i; Step 3, k = k + 1, for each s∈D k-1 ,if Then update φ(s+|h k |)=s,h k represents the channel between the kth access node and the user, D k-1 represents the value set in the k-1th cycle, and s represents any element taken from the value set; Step 4, D k =D k-1 ∪{s+|h k ||s∈D k-1 } Step 5, if k < n, repeat Steps 3 and 4 until k = n to obtain the value set D of a n , and then proceed to the next step; Step 6, t=a * , argmax represents the value of the independent variable when the function takes the maximum value, c = P / σ 2 ; Step 7: If (i.e. t≠0), Ψ=Ψ∪{μ(t-φ(t))}, t=φ(t), repeat this step until The access node set Ψ for communication and the access node set Φ for sensing are obtained.

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