Beamforming in multiuser MIMO downlink systems: Non-cooperative and cooperative approaches

H. Zamiri-Jafarian, S.M.J. Asgari Tabatabaee
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引用次数: 3

Abstract

In this paper, joint transmitter and receiver beamforming algorithms are proposed for downlink in multiuser multi-input multi-output (MIMO) communication systems. The proposed beamforming algorithms are developed based on non-cooperative and cooperative utility functions. In non-cooperative approach, utility function of each user is defined based on the performance of the user without considering the impact of the user's action on the others. However in cooperative approach, in addition to the performance of the user, the impact of user's action on the other users is considered in the user's utility function. Two iterative algorithms are derived by maximizing the utility function of the user in order to estimate transmitter and receiver beamforming vectors. The performances of the proposed algorithms are evaluated by computer simulations and compared with that of the duality method-based minimum mean square error (DM-MMSE) beamforming algorithm. Simulation results show the superiority of our proposed cooperative beamforming algorithm regarding the bit error rate (BER) performance and convergence rate.
多用户MIMO下行系统中的波束形成:非合作和合作方法
提出了多用户多输入多输出(MIMO)通信系统下行链路的联合发射接收机波束形成算法。提出了基于非合作效用函数和合作效用函数的波束形成算法。在非合作方法中,每个用户的效用函数是根据用户的表现来定义的,而不考虑用户的行为对其他用户的影响。而在协作方法中,除了考虑用户的表现外,用户的效用函数中还考虑了用户的行为对其他用户的影响。通过最大化用户的效用函数,推导出两种迭代算法来估计发射机和接收机的波束形成矢量。通过计算机仿真对所提算法的性能进行了评价,并与基于对偶方法的最小均方误差(DM-MMSE)波束形成算法进行了比较。仿真结果表明,本文提出的协同波束形成算法在误码率性能和收敛速度方面具有优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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