Abstract: For the effective energy utilization and data transmission, ergodic selection algorithms of data and energy antennas for the wireless cooperative EH-MIMO systems, where part of antennas at the node are used for energy harvesting and the other antennas are used for data transmission, have been proposed. The selection result is theergodic solution to the channel capacity maximization problem of the proposed cooperative EH-MIMO models, and thus is optimal in capacity performance. In order to reduce complexity of algorithms, two suboptimal algorithms of the data and energy antenna selection, named by antenna increasing selection algorithm and antenna reduction selection algorithm, have been further proposed and also compared with the optimal algorithms in the computational complexity. The simulation results show that the suboptimal algorithms approach the optimal algorithms in terms of channel capacity and energy efficiency of system, while the suboptimal algorithms have much lower complexity.

Key words: green communication, energy harvesting, EH-MIMO, antenna selection, channel capacity

摘要： 为了实现有效的能量利用和数据传输，针对无线EH-MIMO协作系统，提出了在节点的多根天线中选择部分天线进行能量收集和部分天线进行数据传输的遍历最优算法。选择结果即是所提出的EH-MIMO协作模型信道容量最大化问题的遍历解决方案，因此在容量性能方面是最优的。为了降低算法的复杂度，进一步提出了递增天线选择和递减天线选择的两种次优天线选择算法，并与最优算法进行了对比。仿真结果表明，次优算法在系统信道容量和能量效率方面接近最优算法，同时具有较低的复杂度。

关键词: 绿色通信, 能量收集, EH-MIMO, 天线选择, 信道容量