基于能效最大的无线供电反向散射网络资源分配算法  

Energy efficiency maximization resource allocation algorithm in wireless-powered backscatter communication network

作　　者：徐勇军[1,2] 谷博文 陈前斌 林金朝[1] XU Yongjun;GU Bowen;CHEN Qianbin;LIN Jinzhao(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;CQUPT-BUL Innovation Institute,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]重庆邮电大学-伦敦布鲁内尔大学交叉创新研究院,重庆400065

出　　处：《通信学报》2020年第10期202-210,共9页Journal on Communications

基　　金：国家自然科学基金资助项目(No.61601071);重庆市自然科学基金资助项目(No.cstc2019jcyj-xfkxX0002);重庆市研究生科研创新基金资助项目(No.CYS20251,No.CYS20253)。

摘　　要：为缓解物联网节点数量增长带来的能耗问题,提出了基于能效最大化的多载波无线供电反向散射网络资源分配算法。首先,考虑发射功率门限和最小收集能量约束,构建了发射功率、传输时间、反射系数和收集能量分配系数联合优化的多变量非线性资源分配模型。然后,基于Dinkelbach方法和变量替换法,将原非凸资源分配问题转化为凸优化问题。同时,利用拉格朗日对偶理论获得解析解。仿真结果表明,与纯反向散射算法和纯能量收集算法相比,所提算法具有较好的能效。In order to alleviate the energy consumption problem caused by the increasing number of Internet of things(IoT)nodes,an energy-efficient(EE)maximization based resource allocation algorithm was proposed for multi-carrier wireless-powered backscatter communication network.Firstly,a multivariable and nonlinear resource allocation model was formulated to jointly optimize transmit power,transmission time,reflection coefficient,and energy-harvesting allocation coefficient,where the maximum transmit power constraint of the power station and the minimum harvested energy constraint at the backscatter device were considered.Then,the original non-convex optimization problem was transformed into a convex one which was solved by using Dinkelbach’s method and the variable substitution approach.Furthermore,the analytical solution of the resource allocation problem was obtained based on Lagrange dual theory.Simulation results verify that the proposed algorithm has better EE by comparing it with the existing algorithm under pure backscatter mode and algorithm under the harvested-then-transmit mode.

关 键 词：多载波通信 无线供电反向散射通信 资源分配 能效最大化 

分 类 号：TN918.82[电子电信—通信与信息系统]