Massive MIMO下行系统能效资源分配算法  

Energy-efficient resource allocation algorithm for massive MIMO downlink system

作　　者：韦忠忠 曾桂根[2] 

机构地区：[1]南京邮电大学通信与信息工程学院,南京210003 [2]南京邮电大学信号处理与传输研究院,南京210003

出　　处：《计算机应用研究》2017年第10期3112-3115,共4页Application Research of Computers

基　　金：国家自然科学基金面上项目(61471202)

摘　　要：针对无线通信网耗能造成二氧化碳排放量和运营成本日益增加的问题,提出了一种下行大规模天线系统能效最优的资源分配算法。算法在基站端采用最大比合并(MRT)预编码的情况下,考虑各用户最小数据速率、最大发射功率和可容忍的干扰水平约束条件下,以最大化系统能效下界为准则建立非凸优化模型。首先采用一种迭代算法确定每个用户的带宽分配;然后根据分数规划的性质,将能效优化问题的分数形式转换为减数形式,进而利用凸优化方法求解基站端最优的发射天线数和发射功率来获得最优能效。仿真结果表明,所提算法能以较小的迭代次数收敛到最大能效值,并且有较好的系统频谱效率性能,同时算法复杂度得到了显著降低。In order to decrease the carbon emission and operator expenditure induced by energy consmnption of wireless communication networks,this paper proposed an algorithm for energy-efficient resource allocation scheme in massive MIMO communication system. It provided a convex optimization issue with the objective of maximizing system energy efficiency lower bound under the minimum required data rate, maximum required power of each user and tolerable interference level constraint, meanwhile the BS used a maximum rate transmitting （MRT） precoding. First, it proposed an iterative algorithm derived from optimality condition for bandwidth assignment. Second, according to the properties of fractional programming, the resulting energy-efficient optimization in the fractional form was transformed into subtractive form. Convex optimization was exploited to obtain the numbers of antennas and optimal transmit power of each user which lead to maximum energy efficiency. Simulation results show that the proposed schemes not only have less iteration number but also have good perform for system energy efficiency and throughput, at the same time, the performance of spectral-efficiency of the proposed algorithm is very well and the complexity is significantly reduced.

关 键 词：无线通信 大规模MIMO系统 下行系统 最大比合并预编码 能效 资源分配 

分 类 号：TN925[电子电信—通信与信息系统]