基于SWIPT混合协议及联合解码的能量效率研究  

Efficiency research based on SWIPT hybrid protocol and joint decoding

作　　者：何继爱[1] 王志文 王倩宇 李志鑫 HE Jiai;WANG Zhiwen;WANG Qianyu;LI Zhixin(College of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050)

机构地区：[1]兰州理工大学计算机与通信学院,兰州730050

出　　处：《高技术通讯》2023年第10期1029-1037,共9页Chinese High Technology Letters

基　　金：国家自然科学基金(61561031,62061024)资助项目。

摘　　要：针对无线通信网络中小区边缘用户通信质量问题,采用传感中继进行协作通信,为解决引入传感中继所引起的能耗问题,提出了基于无线携能通信(SWIPT)混合协议及联合最大比解码(MRC)方式的能量优化方法。将以最大化主用户信号遍历链路能量效率(EE)为目标的分式规划问题,转化为易求解的非分式规划问题;从功率控制、功率/时间分割因子2个角度分析EE;利用Dinkelbach迭代算法优化基站发射功率,并结合遗传算法联合优化功率分配因子和时间分割因子,以实现遍历链路EE最大化。仿真实验结果表明,该方法在无线认知传感中继网络中能够更好地提升能量效率。Aiming at the communication quality problem of cell edge users in wireless communication networks,the sensing relay is used for cooperative communication.To solve the problem of energy consumption caused by the introduction of sensing relay,an energy optimization method based on simultaneous wireless information and power transfer(SWIPT)hybrid protocol and maximal ratio combining decoding(MRC)method is proposed.The fractional planning problem with the objective of maximising the energy efficiency(EE)of the primary user signal traversal link is transformed into an easily solvable non-fractional planning problem;EE is analysed from the perspectives of power control and power/time splitting factor;the transmit power of the base station is optimised by using the Dinkelbach iterative algorithm,and the power allocation is jointly optimised with the genetic algorithm factor and time splitting factor to maximize EE of the traversing link.The experimental simulation results show that the method can better improve energy efficiency in wireless cognitive radio sensing relay networks.

关 键 词：能量效率(EE) 无线携能通信(SWIPT) 协作中继 认知无线电(CR) 小区边缘用户 

分 类 号：TN929.5[电子电信—通信与信息系统]