Adaptive subcarrier allocation for MIMO-OFDMA wireless systems using Hungarian method

MIMO-OFDMA is a promising technique for future broadband wireless communication systems. In this paper, the problem of allocating subcarriers among different users to maximize the total capacity is addressed. The optimal solution can be obtained by Hungarian method is proved, using two utility matrices, i.e. the Frobenius-norm matrix and the determinant matrix. Simulation results show that the proposed algorithm can achieve higher capacity than the existing algorithms, and it is globally optimal and easy to be implemented.

基于容量最大化的多用户MIMO-OFDM子载波分配算法

针对多用户MIMO-OFDM通信网络,提出了一种基于系统和容量最大化的子载波分配算法。通过对MIMO-OFDM系统和容量公式进行分析,提取出子载波分配的判决参数,再利用匈牙利算法对子载波进行分配,同时分析了分配后系统平均容量的统计特性。为了兼顾公平,又提出了传输速率最小的用户传输速率最大化的子载波分配算法。仿真结果表明,所提容量最大化算法能使系统和容量达到全局最大值,且具有较低的复杂度。