摘要
针对D2D通信系统中复用模式下存在同频干扰、资源利用不充分等问题,本文综合考虑资源分配和功率控制建立D2D通信系统模型,从信道资源利用的角度分析系统能量效率,提出一种基于改进樽海鞘群优化算法的资源分配策略,将资源分配方案矩阵和功率控制方案矩阵作为樽海鞘的位置,将用户最低速率需求和最大发送功率作为位置更新的约束条件,采用自适应权重法更新追随者的位置,在保证用户最低速率需求的前提下最大化系统能量效率。仿真结果表明,相比于标准樽海鞘群算法、粒子群算法和遗传算法,本文所提算法有较高的收敛速度和搜索精度,能有效提高系统能量效率。
In view of co-channel interference and resource under utilization in device-to-device(D2D)communication system,this paper takes into account resource allocation and power control to establish D2D communication system model,and analyzes system energy efficiency from the perspective of channel resource utilization.This paper aims to put forward a novel resource allocation strategy based on improved Salp swarm optimization algorithm.With the resource allocation matrix and the power control matrix as the position of the Salps,users’minimum rate demand and maximum transmission power are taken as the constraints of position update.The adaptive weight method is applied for position update to maximize the energy efficiency of the system on the premise of ensuring users’minimum rate demand.The simulation results show that compared with the standard Salp swarm algorithm,the particle swarm optimization algorithm and the genetic algorithm,the algorithm proposed in this paper has higher convergence speed and search accuracy,and is able to effectively improve the system energy efficiency.
作者
黄哲
杨永立
杨丹阳
毛凯
Huang Zhe;Yang Yongli;Yang Danyang;Mao Kai(School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430000)
出处
《高技术通讯》
EI
CAS
北大核心
2020年第8期790-797,共8页
Chinese High Technology Letters
基金
国家重点研发计划(2017YFC0805100)资助项目。
关键词
D2D通信
资源分配
功率控制
能量效率
樽海鞘群算法(SSA)
device-to-device(D2D)communication
resource allocation
power control
energy efficiency
Salp swarm algorithm(SSA)
作者简介
联系人:黄哲,男,1994年生,硕士生,研究方向:无线通信,E-mail:1776198181@qq.com。
