成比例公平性约束下的MIMO-OFDMA资源分配方案

针对MIMO-OFDMA下行链路系统，提出一种基于成比例公平性约束的资源分配方案.该方案基于MIMO信道状态信息，对信道矩阵进行分解，利用特征子信道来确定子载波和功率分配，充分利用了空间域、频域以及多用户分集增益提高系统的频谱效率.通过松弛成比例性约束条件，使各用户数据速率近似正比于每个用户分配的子载波数，并导出一种不需要迭代的线性低复杂度功率分配方案.仿真和分析表明，整个方案在保证系统吞吐量的前提下，取得了用户间良好的速率公平性，同时又具有较低的计算复杂度.

Adaptive Resource Allocation with Proportional Fairness for MIMO-OFDMA Downlink

This paper presents an adaptive resource allocation scheme based on proportional fairness for MIMO-OFDMA downlink systems. Based on MIMO channel state information and by using the eigen channels to determine subcarrier and power allocation, the proposed scheme has the ability to simultaneously exploit space, frequency and multi user diversity to improve spectrum efficiency. A non-iterative linear power allocation method with low complexity is derived with the proposed relaxation of strict user rate proportionality constraints. Simulation results show that the new adaptive allocation scheme can achieve good tradeoff between capacity and fairness, and provide much better capacity gain than conventional schemes, while requiring significantly less computation complexity.