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基于多对一Gale-Shapley算法的D2D通信资源分配
引用本文:李中捷,谢东朋.基于多对一Gale-Shapley算法的D2D通信资源分配[J].计算机应用研究,2019,36(8).
作者姓名:李中捷  谢东朋
作者单位:中南民族大学智能无线通信湖北省重点实验室,武汉,430074;中南民族大学智能无线通信湖北省重点实验室,武汉,430074
基金项目:国家自然科学基金资助项目(61379028)
摘    要:针对D2D通信复用异构蜂窝网络上行信道产生的干扰问题和频谱资源优化问题进行研究,提出一种基于多对一Gale-Shapley算法的D2D通信资源分配方案。本方案允许多个D2D用户共享一个蜂窝用户信道资源,通过设置信干噪比(SINR)门限保证用户的通信服务质量(QOS)。根据信道分配情况,构建D2D用户和信道的偏好列表,最大化系统总容量。仿真结果表明,该方案收敛较快,复杂度较低,能够有效保证用户的通信服务质量,系统总容量接近最优解。本研究为实现D2D用户和蜂窝用户的频谱资源共享,提高频谱利用率提供了一种有效方案。

关 键 词:D2D通信  Gale-Shapley算法  异构蜂窝网络  资源分配  系统容量
收稿时间:2018/2/3 0:00:00
修稿时间:2019/6/27 0:00:00

Resource allocation for D2D communication based on many-to-one Gale-Shapley algorithm
LI Zhongjie and XIE Dongpeng.Resource allocation for D2D communication based on many-to-one Gale-Shapley algorithm[J].Application Research of Computers,2019,36(8).
Authors:LI Zhongjie and XIE Dongpeng
Affiliation:Hubei Key Laboratory of Intelligent Wireless Communication,College of Electronic and Information Engineering,South-Central University for Nationalities,
Abstract:In order to solve the problem of interference and spectrum optimization caused by D2D (device-to-device) communication multiplexing uplink channel of heterogeneous cellular networks, the paper proposed a resource allocation scheme based on many to one Gale-Shapley algorithm. It allowed multiple D2D users to share a cellular user channel resource and guaranteed the communication quality of service (QOS) of users by setting the threshold of signal to interference and noise ratio (SINR). The scheme constructed a preference list for D2D users and channels and maximized system total capacity based on channel allocation. Simulation results show that the scheme converges fast and has low complexity. The system total capacity is close to the optimal solution while guarantees the quality of service of users effectively. The research provides an effective scheme to realize the spectrum sharing between D2D users and cellular users and improve spectrum utilization.
Keywords:D2D communication  Gale-Shapley algorithm  heterogeneous cellular network  resource allocation  system capacity
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