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D2D联合模式选择与资源分配的研究

郑奕佳 杜永文 黄菊 张希权

数据与计算发展前沿2023,Vol.5Issue(6):173-184,12.
数据与计算发展前沿2023,Vol.5Issue(6):173-184,12.DOI:10.11871/jfdc.issn.2096-742X.2023.06.016

D2D联合模式选择与资源分配的研究

Research on D2D Joint Mode Selection and Resource Allocation

郑奕佳 1杜永文 1黄菊 1张希权1

作者信息

  • 1. 兰州交通大学,电子与信息工程学院,甘肃兰州 730070
  • 折叠

摘要

Abstract

[Objective]In the case of relatively scarce communication resources,the D2D direct reuse technology of cellular network resources may cause numerous technical problems such as inter-ference management,communication mode selection,and resource allocation.[Methods]This paper studies the scheme of the combination of mode selection,channel distribution,and power control.Because optimizing the combination scheme is an NP-hard problem,this paper divides the optimization problem into two sub-problems:one is to select an appropriate communication mode and allocate reasonable channel resources for each D2D user,and the other is to opti-mize the power for D2D users and honeycomb users by the improved gray wolf algorithm.The goal of this approach is to improve the overall system throughput and reduce the interference.[Results]The experimental results in different scenarios show that this approach can effective-ly reduce the interference and improve the system throughput.The improved gray wolf algo-rithm has increased the average throughput by about 4%for this solution.[Limitations]The Gray Wolf Optimization Algorithm is continuously evolving and introduces certain limitations.[Conclusions]The subsequent work will continue to explore and consider the network status and the user mobility,improving both performance and throughput of the system.

关键词

蜂窝网络/D2D/模式选择/资源分配/灰狼算法

Key words

cellular network/D2D/mode selection/resource allocation/gray wolf algorithm

引用本文复制引用

郑奕佳,杜永文,黄菊,张希权..D2D联合模式选择与资源分配的研究[J].数据与计算发展前沿,2023,5(6):173-184,12.

基金项目

国家自然科学基金(11461038) (11461038)

甘肃省科技支撑计划(144NKCA040) (144NKCA040)

数据与计算发展前沿

OACSCDCSTPCD

2096-742X

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