摘要
提出多跳无线物联通信系统,并设计双中继节点完成能量收集和信息传输的传输方案。其中只有源端节点的能量为有源供电,其余节点的能量均通过能量收集获得,所有信道均为非静态信道,信息用户节点配置多个天线。基于能效最大化的优化准则,详细推导多用户双中继系统的最优发送功率。利用高信噪比近似法并令第二个中继节点采用等功率分流法以解决优化中的非凸问题。借助拉格朗日算法与Lambert W函数得到最优解的源节点发送功率。仿真结果验证了该方案的有效性和正确性。
This paper presented the multi-hop wireless IOT communication system.The transmission scheme with energy harvesting and information transmission realized by two relay nodes was designed.Among them,only the energy of the source node came from the power grid,the energy of the other nodes was obtained by energy collection,and all the relay nodes used the power split method to transmit signals.Under the advance of non-static channel,the information user nodes were configured with multiple antennas.Based on the optimization criterion of energy efficiency maximization,the asymptotic analytic solution of optimal transmission power for multi-user dual relay system was derived in detail.Since the optimization problem was a non-convex problem,in order to solve this problem,this paper used the high SNR approximation method and the equal power split method for the second relay node.The optimal solution of the source node transmission power was obtained by Lagrangian algorithm and Lambert W function.The proposed scheme and theoretical analysis were verified by simulation experiment.
作者
陈珍珍
冀保峰
陈苏丹
Chen Zhenzhen;Ji Baofeng;Chen Sudan(College of Information Engineering,Henan University of Science and Technology,Luoyang 471000,Henan,China;College of Aeronautics and Astronautics,University of Electronic Science and Technology of China,Chengdu 611731,Sichuan,China)
出处
《计算机应用与软件》
北大核心
2022年第11期99-104,200,共7页
Computer Applications and Software
基金
国家十三五装备预研基金项目(6140311030207)
国家自然科学基金项目(61801170,U1404615,61701172,U1504619)
国家重点研发计划项目(2018YFB0904905)
教育部产学合作项目(201602011005,201702135098)
中国博士后基金项目(2018M633351)
河南省科技厅自然科学基金项目(162300410096)
河南省高校创新人才项目(17HASTIT025,20HASTIT022)
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
2018年西藏自治区自然科学基金项目“中继增强型毫米波MIMO安全传输关键技术研究”
西藏自治区教育科学“十三五”规划2018年重大招标课题(XZJKY201803)
河南省青年骨干教师支持计划。
关键词
物联网
中继协同
能量收集
能效优化
凸优化
Internet of Things(IoT)
Relay cooperation
Energy harvest
Energy efficiency optimization
Convex optimization
