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基于能量收集的环境反向散射通信联合优化算法设计
引用本文:陈珍珍,冀保峰,李玉琦,韩影,李春国,文红. 基于能量收集的环境反向散射通信联合优化算法设计[J]. 计算机应用与软件, 2021, 38(4): 117-123. DOI: 10.3969/j.issn.1000-386x.2021.04.020
作者姓名:陈珍珍  冀保峰  李玉琦  韩影  李春国  文红
作者单位:河南科技大学信息工程学院 河南 洛阳471000;河南科技大学信息工程学院 河南 洛阳471000;电子科技大学航空航天学院 四川 成都611731;河南科技大学信息工程学院 河南 洛阳471000;东南大学移动通信国家重点实验室 江苏 南京210096;电子科技大学航空航天学院 四川 成都611731
基金项目:河南省高校创新人才项目;西藏民族大学西藏文化传承发展协同创新中心2018年招标第21号课题;国家自然科学基金项目;河南省青年骨干教师支持计划项目;国家重点研发计划项目;教育部产学合作项目;西藏自治区教育科学十三五规划2018年重大招标课题;2018年西藏自治区自然科学基金项目;国家十三五装备预研基金项目;河南省科技厅自然科学基金项目;中国博士后基金项目
摘    要:针对环境反向散射通信系统,设计两跳无线信息和能量传输方案并基于能效最大化准则给出联合优化算法.源端配置多天线并采用最大比发送(Max Ratio Transmission,MRT)预编码方法,中继节点使用功率分流法以完成信息发送与能量收集.基于系统传输模型,对源端天线数和发送功率采用联合优化算法以得到系统最大能效.借助...

关 键 词:环境反向散射  能效  联合优化  凸优化

DESIGN OF JOINT OPTIMIZATION ALGORITHM FOR AMBIENT BACKSCATTER COMMUNICATION BASED ON ENERGY HARVESTING
Chen Zhenzhen,Ji Baofeng,Li Yuqi,Han Ying,Li Chunguo,Wen Hong. DESIGN OF JOINT OPTIMIZATION ALGORITHM FOR AMBIENT BACKSCATTER COMMUNICATION BASED ON ENERGY HARVESTING[J]. Computer Applications and Software, 2021, 38(4): 117-123. DOI: 10.3969/j.issn.1000-386x.2021.04.020
Authors:Chen Zhenzhen  Ji Baofeng  Li Yuqi  Han Ying  Li Chunguo  Wen Hong
Affiliation:(College of Information Engineering,Henan University of Science and Technology,Luoyang 471000,Henan,China;School of Aeronautics and Astronautics,University of Electronic Science and Technology of China,Chengdu 611731,Sichuan,China;National Mobile Communications Research Laboratory,Southeast University,Nanjing 210096,Jiangsu,China)
Abstract:For the ambient backscatter communication system,this paper proposes a joint optimization algorithm based on the energy efficiency maximization criterion by designing a two-hop wireless information and energy transmission scheme.The source side of this system was configured with multiple antennas,and a max ratio transmission(MRT)precoding method was employed.The relay node utilized the power split approach to transmit information and harvest energy.Based on the system transmission model,a joint optimization algorithm was applied to the number of source antennas and the transmission power to obtain the maximum energy efficiency of the system.Using the high SNR approximation method,the non-convex was transformed into convex to solve the non-convex problem in the optimization target.The optimal solution of joint optimization of antenna number and transmission power was obtained by using Lambert W function.The simulation results verify the validity and correctness of the proposed scheme.
Keywords:Ambient backscatter  Energy efficiency  Joint optimization  Convex optimization
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