检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:赵静 ZHAO Jing(China Radio and Television Qinghai Network Co.,Ltd,Xining 810000,China)
机构地区:[1]中国广电青海网络股份有限公司,西宁810000
出 处:《宇航计测技术》2024年第1期88-92,共5页Journal of Astronautic Metrology and Measurement
摘 要:针对5G通信中的能效优化问题,分析了下行链路用户中大规模MIMO-OFDMA系统的能效资源分配最大化问题。提出了基于最小速率要求的能效最大化资源分配算法,在合理分配带宽后,分配功率和天线数量,以提高系统的最佳能效。最后,基于拉格朗日函数将能效最优目标函数转换为凸优化问题,从而求得最优解。试验阶段,以典型无线通信网络为例进行分析,结果表明与NSGA-Ⅱ和基于FP的资源分配算法相比,所提出的算法能效、吞吐量、最佳基站天线数等方面综合性能最优。所提模型可为5G通信系统最优资源分配方案的研究提供一定借鉴作用。Aiming at the optimization of energy efficiency in 5G communication,the maximization of energy efficiency resource allocation in large-scale MIMO-OFDMA system among downlink users is analyzed.Secondly,an energy efficiency maximization resource allocation algorithm based on the minimum rate requirement is proposed.After the bandwidth is reasonably allocated,the power and the number of antennas are allocated to improve the optimal energy efficiency of the system.Finally,based on the Lagrange function,the optimal energy efficiency objective function is converted into a convex optimization problem to solve the optimal solution.In the experimental phase,a typical wireless communication network is taken as an example to analyze.The results show that the proposed algorithm has the best comprehensive performance in terms of energy efficiency,throughput,and the optimal number of base station antennas compared with NSGA-II and FPbased resource allocation algorithms.The proposed model provides a reference for the study of the optimal resource scheduling scheme of 5G communication system.
关 键 词:5G 无线通信网络 能效优化 资源分配 优化模型 拉格朗日函数
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.7