中文摘要：

该文针对多用户MIMO-OFDM系统,基于最大化信号与干扰加噪声比（Signal-to Jamming and Noise Ratio,SJNR）预编码,提出了实用的自适应资源分配方法。根据各用户SJNR值,提出采用递增（Incremental Algorithm,IA）和递减（Decremental Algorithm,DA）两种方法为各子载波选择用户集合,使各子载波被多个用户最优复用,实现多用户分集,以达到最大化系统吞吐量的目的。此外,基于DA思想,给出了考虑不同用户QoS要求下分配子载波的方法（QoS Decremental Algorithm,QDA）。分析和仿真结果表明,IA和DA在大大降低算法复杂度的同时使性能很好地接近最优算法,QDA能在满足不同用户QoS要求的同时最大化系统吞吐量。

英文摘要：

Practical maximum SJNR-precoding based adaptive resource allocation schemes are proposed for multi-user MIMO OFDM systems. According to the SJNR value, incremental and decremental algorithms are presented for user selection on each subcarrier that multi-user diversity is exploited by allocating the subcarriers to the right users and meanwhile a maximum capacity can be achieved. Besides, an allocation algorithm with users＇ different QoS is given based on decremental algorithm. Analysis and simulation results show that both IA and DA can achieve the similar performance as the optimal one with low complexity while QDA can satisfy the users＇ different requirement as well as increase the total throughput.