【摘要】 绿色通信是移动通信系统(例如5G系统)的主要特征之一。在大规模多输入多输出(multiple-input multiple-output, MIMO)系统中如何提高能源效率是一个重要研究课题,天线选择是提高能源效率的有效方法。现有的天线选择算法有些是局部优化,有些是单目标优化,为克服这些缺点,提出了基于博弈论的大规模MIMO天线选择算法。该算法通过系统容量和发射功率构造博弈的效用函数,每进行一次博弈都得到一组天线,在博弈达到均衡时,能源效率取得最大值。文中给出了纳什均衡存在性证明,也推导了纳什均衡点与能源效率之间的等价。仿真结果表明,采用博弈论算法能够克服局部优化,在保持信道容量较高的同时也提高了能源效率,可见该算法在能源效率上的提高有助于实现绿色通信。更多还原

【Abstract】 Green communication is a major characteristic of mobile communication system, such as 5 G system. It is an important research hotspot how to improve the energy efficiency for massive multiple-input multiple-output(MIMO) system. Antenna selection is a very effective technology to improve the energy efficiency. However, some of the existing antenna selection methods are local optimization or single-objective optimization. To overcome these shortcomings, an antenna selection algorithm for massive MIMO based on game theory was proposed. The utility function was derived by system capacity and transmitting power. A group of antennas was selected according to each game. At the game equilibrium, the energy efficiency reached the maximum. The existence proof of Nash equilibrium was given, and the equivalence between Nash equilibrium point and the maximum of energy efficiency was also shown. Simulation results demonstrate that the game theory algorithm can achieve the global optimum, which also enhances the energy efficiency, whereas the channel capacity is no significant dropped. It can be seen that the proposed algorithm can improve the energy efficiency, which helps to green communication.更多还原