摘要
在点对点、多输入多输出空间复用方案中如何实现能量效率最大化和最佳的功率分配是重点亟待解决的问题。本文把接收机的全满信道状态信息下的相等功率负载情形和在发射机处的有限反馈信息作为节省能量的手段,根据系统电路功率、信道等参数推导出最优能量效率的下界表达式;并在封闭形式解决方案中提出一种有效的组合天线选择算法。实验结果表明,文中提出的方法能效降低了多输入多输出系统复杂性,系统性能亦有较大提升。
The multi-input multi-output system can greatly enhance the performance of wireless communication systems. How to maximize energy efficiency and optimal power allocation in point-to-point, multi-input and multi-output spatial multiplexing schemes are the key issues to be solved. Different from the traditional energy-saving method for solving the power load under the assumption of full channel state information, in this paper, the equal power load situation under the full channel state information at the receiver and the limited feedback information at the transmitter are taken as The energy saving method deduces the lower bound expression of optimal energy efficiency according to the system circuit power and channel parameters;and proposes an effective joint antenna selection algorithm in the closed form solution. The simulation results show that the proposed method achieves near-optimal performance while reducing the complexity of the MIMO system.
作者
李晖
朱晓翠
LI Hui;ZHU Xiao-cui
出处
《信息技术与信息化》
2019年第12期35-40,共6页
Information Technology and Informatization
关键词
多输入多输出系统
组合天线
边缘数据
云数据
异常检测
Multiple Input Multiple Output System
Combination Antenna
Edge Data
Cloud Data
Anomaly Detection