无线携能通信中继网络最大化总传输速率

Maximize the total transmission rate of relay networks in simultaneous wireless information and power transfer

能量捕获无线传感器网络是解决传统无线传感器网络能量问题的有效途径之一,无线携能通信网络SWIPT(Simultaneous wireless information and power transfer)是其中的一个重要研究方向。研究了一种SWIPT场景,在源节点总功率的约束条件下,最大化总传输速率。源节点通过在不同的频谱上分配不同的功率发送携能信号给多个中继节点,中继节点对于接收到的携能信号通过功率分配将一部分信号转化为能量,一部分信号解码为信息;中继节点利用捕获的能量将信息转发给目的节点。建立数学模型求解最优的功率分配因子,运用拉格朗日乘数法求得源节点在每个频谱上分配功率的表达式,按照注水算法求得最终分配的功率和最大化的总传输速率,最后通过数值模拟进行了有效性验证。

Energy harvesting wireless sensor networks is one of the effective ways to solve the energy problems of traditional wireless sensor networks.Among them,the simultaneous wireless information and power transfer(SWIPT)is one of the important research directions.In the scenario of SWIPT,maximizing the total transmission rate under the constraints of the total power of the source node is studied.In the first stage,the source node sends signals with energy to multiple relay nodes by allocating different powers on different spectrums;In the second stage,the relay node converts part of the received energy-carrying signal into energy through power allocation and decodes part of the signal into information.The relay node uses the captured energy to forward the information to the destination node.The mathematical model is established to solve the optimal power allocation factor,and the Lagrange multiplier method is used to obtain the expression of power allocated by the source node on each frequency spectrum.According to the water injection algorithm,the final allocated power and the maximized total transmission rate are obtained.Finally,the validity is verified by numerical simulation.