摘要
针对无人机辅助的多用户-多输入多输出(MU-MIMO)应急通信网络中功耗和电池容量受限的问题,提出一种在功率受限的条件下波束形成的优化设计,以此来最大化系统总传输速率。整体设计分为两部分,首先提出了一种无需迭代即可迅速确定无人机位置的方法,其次考虑到该问题是非凸的,采用一阶泰勒近似将其进行凸逼近,利用二阶锥优化(SOCP)降低计算复杂度,求解最佳的波束形成矢量。仿真结果表明,所提方法适用于多用户通信系统,在仿真过程中虽不能将干扰归零,但通过抑制干扰能够最大化系统总传输速率。
Aiming at the problem of limited power consumption and battery capacity in unmanned aerial vehicle(UAV)-assisted multi-user multiple input multiple output(MU-MIMO)emergency communication networks,a method is proposed for power-constrained conditions.The design of beamforming to maximize the total transmission rate of the system is optimized.First,a method for easy determination of UAV position without iteration is proposed.Second,considering that the problem is non-convex,the first-order Taylor approximation is used to approximate it convexly.The second-order cone programming(SOCP)reduces the computational complexity and solves the best beamforming vector.The simulation results show that the proposed method is suitable for multi-user communication systems.Although the interference cannot be reset to zero during the simulation process,the system's total transmission rate can be maximized by suppressing the interference.
作者
唐菁敏
刘思淼
王杰
Tang Jingmin;Liu Simiao;Wang Jie(School of Information Engineering and Automation,Kunming University of Science and Technology,Kunming,Yunnan 650500 China)
出处
《激光与光电子学进展》
CSCD
北大核心
2021年第21期69-76,共8页
Laser & Optoelectronics Progress
关键词
光通信
无人机
多输入多输出
波束形成
二阶锥优化
optical communications
unmanned aerial vehicle
multiple input multiple output
beamforming
secondorder cone programming
