摘要
针对D2D(device-to-device)通信用户在复用传统蜂窝通信信道资源的过程中会产生干扰问题,提出了一种基于粒子群算法(particle swarm optimization,PSO)的D2D通信功率匹配联合干扰控制资源分配算法,在控制干扰的同时实现整个系统吞吐量最大化。首先,通过不同用户功率的阈值划分不同安全通信范围,只有处于安全通信范围的用户才能进行后续的功率分配,从而有效降低系统干扰;其次,采用一种基于粒子群算法的功率匹配方法,将D2D用户发送端作为粒子群,通过迭代寻找最优功率,使整个系统吞吐量最大化。仿真结果表明:本文所提出的算法可以明显提高系统的整体吞吐量并降低干扰至最低,从而使整个系统的通信质量达到最优。
Address to interference problems faced by D2D(device-to-device)communi-cation users in the process of multiplexing traditional cellular communication channel resources,a resource allocation algorithm based on particle swarm optimization(PSO)algorithm for D2D communication power matching joint interference control is proposed in this paper,which maximizes the throughput of the whole system while controlling in-terference.Firstly,security communication are divided into different ranges according to threshold values of user-powers,and only the users in the security communication range have opportunity to join in subsequent power distribution,thus effectively reducing system interference.Secondly,a power matching method based on PSO is adopted to take D2D senders as particle swarm.It maximizes the throughput of the whole system by search-ing for the optimal power through iteration.Simulation results show that the proposed algorithm can significantly improve the overall throughput of the system and minimize the interference,so as to achieve the optimal communication quality of the whole system.
作者
刘煜恒
彭艺
付晓霞
安浩杰
LIU Yuheng;PENG Yi;FU Xiaoxia;AN Haojie(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,Yunnan,China)
出处
《应用科学学报》
CAS
CSCD
北大核心
2021年第2期338-346,共9页
Journal of Applied Sciences
基金
国家自然科学基金(No.61761025)资助。
关键词
D2D
资源分配
粒子群算法
吞吐量
干扰
D2D(device-to-device)
resource allocation
particle swarm optimization(PSO)
throughput
interference
