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Full duplex IAB system traversal capacity optimization method based on genetic algorithm

A technology of traversal capacity and genetic algorithm, which is applied in the field of full-duplex IAB system traversal capacity optimization, can solve problems such as not taking into account and ignoring benefits, and achieve the effects of avoiding calculations, improving traversal capacity, and good convergence performance

Active Publication Date: 2020-09-22
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

Existing research assumes that the distances between nodes are equal when performing power allocation between nodes, and does not take into account the fact that backward interference occurs between adjacent nodes and needs to experience path loss in the channel, so the signal power of backward interference is still low. It is related to the distance between adjacent nodes, ignoring the benefits brought by the joint optimization of node transmission power and the distance between adjacent nodes

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  • Full duplex IAB system traversal capacity optimization method based on genetic algorithm
  • Full duplex IAB system traversal capacity optimization method based on genetic algorithm
  • Full duplex IAB system traversal capacity optimization method based on genetic algorithm

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Embodiment Construction

[0051] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0052] The invention proposes a method for optimizing the traversal capacity of a full-duplex IAB system based on a genetic algorithm.

[0053] Step 1: the full-duplex IAB system model of the present invention is as figure 1 As shown, the signal passes from the donor base station, that is, the source node S, through K-1 nodes, that is, the relay node R 1 , R 2 ,...,R K-1 , the model transmitted to the destination node D, where the source node S and the destination node D work in half-duplex mode, and the relay node R 1 , R 2 ,...,R K-1 Working in full-duplex mode, it can receive signals from the previous node and send signals to the next node at the same time and at the same frequency. In the process of signal transmission from the source node S to the destination node D, there are the following four types of signals in the system, which are the desired...

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Abstract

The invention discloses a full duplex IAB system traversal capacity optimization method based on a genetic algorithm, and belongs to the field of wireless communication. In a full duplex IAB system, two groups of variables of node sending power and distance between adjacent nodes are jointly optimized, suppression of interference signals in the system is realized, and the purpose of improving thetraversal capacity of the system is achieved; meanwhile, the genetic algorithm is used for solving the optimization problem, calculation of a large amount of gradient information in the multivariableoptimization problem is avoided, reasonable encoding and decoding rules and fitness functions for mutual conversion between optimization variables and genotypes are designed, and good convergence performance is achieved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a method for optimizing the traversal capacity of a full-duplex IAB system based on a genetic algorithm. Background technique [0002] With the rapid development of wireless communication technology, 5G is committed to providing higher communication rates, lower latency and greater capacity. In the 5G communication network, the density of base station deployment is further increased. The traditional wired backhaul based on optical fiber has the problems of high cost, inflexible deployment and expansion, and the full-duplex Integrated Access and Backhaul (IAB) system Be the solution for high-speed wireless backhaul. In a full-duplex IAB system, interference signals become the main factor restricting the ergodic capacity of the system, specifically including backward interference between adjacent nodes and self-interference at nodes. Faced with the capacity improveme...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/02H04W24/06G06N3/12H04L5/14
CPCG06N3/126H04L5/14H04W24/02H04W24/06
Inventor 刘芳芳夏海轮张小茜
Owner BEIJING UNIV OF POSTS & TELECOMM
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