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基于非均衡求解的D2D多复用通信资源块分配算法研究

本站小编 Free考研考试/2022-01-03

钱志鸿,
胡良帅,
田春生,
王雪,
吉林大学通信工程学院 长春 130012
基金项目:国家自然科学基金(61771219),吉林大学基础科研项目(SXGJQY2017-9, 2017TD-19),吉林大学研究生创新基金(101832018C022)

详细信息
作者简介:钱志鸿:男,1957年生,教授,研究方向为无线网络通信技术,包括蓝牙,RFID, M2M, D2D,无线传感器网络及物联网等
胡良帅:男,1995年生,硕士生,研究方向为D2D通信技术
田春生:男,1993年生,博士生,研究方向为物联网与D2D通信技术
王雪:女,1984年生,副教授,研究方向为5G通信中的关键技术,包括D2D通信的模式选择、同步技术,以及物联网技术
通讯作者:王雪 jluwangxue@163.com
中图分类号:TN929.5

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文章访问数:1577
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被引次数:0
出版历程

收稿日期:2019-03-21
修回日期:2019-06-13
网络出版日期:2019-06-24
刊出日期:2019-12-01

Research on D2D Multi-multiplex Communication Resource Blocks Allocation Algorithm Based on Unbalanced Solution

Zhihong QIAN,
Liangshuai HU,
Chunsheng TIAN,
Xue WANG,
College of Communication Engineering, Jilin University, Changchun 130012, China
Funds:The National Natural Science Foundation of China (61771219), The Fundamental Research Funds of Jilin University (SXGJQY2017-9, 2017TD-19), The Graduate Innovation Fund of Jilin University (101832018C022)


摘要
摘要:针对小区内D2D多复用的通信资源块分配问题,该文以一个D2D用户分别复用2个和3个蜂窝为基础,提出基于非均衡求解的D2D多复用模式下的资源块分配方案。利用博弈论将资源块划分问题转化为求解被复用蜂窝用户收益联合最大问题。当纳什均衡解不存在时,分析目标函数特性,在可行域内求解“最优解”,保证对不均衡解处理的最优性;对于均衡解存在的情况,将其取整后作为资源分配方案依据,保持其最优性。通过理论分析及仿真实验表明该算法可以提升系统吞吐率,提高小区通信性能。
关键词:D2D通信/
资源块分配/
小区收益/
博弈论
Abstract:In order to solve the problem of the Device to Device (D2D) multi-multiplex communication resource blocks allocation in a cell, the resource blocks allocation scheme about D2D multi-multiplex mode based on non-equilibrium solution is proposed after analyzing a D2D user to multiplex two and three cells respectively. The problem of resource blocks partitioning is transformed into the problem of solving the joint revenue maximum value of the multiplexed cellular user by using game theory. When the Nash equilibrium solution does not exist, the objective function is analyzed, the "optimal solution" is solved in the feasible domain and the optimality of unbalanced solution processing is guaranteed. When the equilibrium solution exists, it is rounded up and used as the basis of the resource allocation scheme to maintain its optimality. The theoretical analysis and simulation results show that the proposed algorithm enhances significantly the system performance and sum rate.
Key words:Device to Device (D2D) communication/
Resource blocks allocation/
Community revenue/
Game theory



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