面向5G毫米波通信的波束选择机制

Beam selection mechanism for 5G millimeter wave communication

针对5G下行多用户多输入多输出(MIMO)系统,在毫米波频率下工作,并且在Sub-6 GHz系统的辅助下进行波束选择的问题,首先分析毫米波大规模MIMO系统以及Sub-6 GHz系统的波束选择模型,从Sub-6 GHz系统中获取空间信息,对其采用对数加权的方式并将其应用于毫米波波束选择中;在此基础上,采用启发式贪心算法进行波束选择,此算法可以匹配出最强的波束,算法复杂度低,性能一般。为了给所有用户和波束进行最大最优的匹配,提出了基于匈牙利算法的波束选择,通过将波束选择建模为二部图上的最大权匹配进行波束选择,此算法的计算复杂度稍高,性能较好。

Aiming at the problem that 5G downlink multi-user multiple-input multiple-output(MIMO)system works at millimeter wave frequency,and carries out beam selection with the Sub-6 GHz system,this paper analyzed the beam selection mo-del of millimeter wave large-scale MIMO system and Sub-6 GHz system,and obtained spatial information from Sub-6 GHz system,and applied it to millimeter wave beam selection by logarithmic weighting.On this basis,beam selection adopted the heuristic greedy algorithm,which could match the strongest beam with low complexity and general performance.In order to match all users and beams optimally,this paper proposed a beam selection algorithm based on Hungarian algorithm,which could model the beam selection as the maximum weight matching on bipartite graph.This algorithm has higher computational complexity and better performance.