基于能量收集的环境反向散射通信联合优化算法设计

DESIGN OF JOINT OPTIMIZATION ALGORITHM FOR AMBIENT BACKSCATTER COMMUNICATION BASED ON ENERGY HARVESTING

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。借助高信噪比近似法进行非凸向凸的转化以解决优化目标中非凸问题。此外,利用Lambert W函数得到源端天线数和发送功率联合优化的最优解。仿真结果验证了所提方案的有效性和正确性。

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.