基于比例公平的多用户MIMO-OFDM系统自适应资源分配算法

Adaptive resource allocation algorithm in multiuser MIMO-OFDM systems with proportional fairness requirement

针对传统多用户MIMO-OFDM系统中自适应资源分配算法计算复杂度较高、实时性不强、无法保证用户间公平性等问题,提出了一种低复杂度的自适应子载波、比特及功率分配算法。在子载波分配上,该算法能够在兼顾比例速率约束的前提下使系统发射功率达到最小化;在比特及功率分配上,该算法将非线性优化问题转换为线性优化问题,在保证系统性能的同时显著降低计算量。仿真结果表明,该算法具有良好的性能,能够有效降低计算量,并使系统容量在用户间分配得更加公平和合理。

Conventional adaptive resource allocation algorithms in multiuser MIMO-OFDM systems have many problems,including high computational complexity,time consuming,and they did not consider the proportional fairness among users.This paper presented a rapid adaptive sub-carrier,bit and power allocation algorithm.This algorithm ensured the proportional fairness among users to minimize the transmit power while satisfying the rate requirement and BER constraint of each user for sub-carrier allocation.Furthermore,this algorithm could translate nonlinear optimization problems into linear optimization problems,and reduce the computational complexity effectively while ensuring the system performance.The simulation results show that this algorithm has good performance and can effectively reduce the computational complexity,and with proportional constraints the capacity is distributed more fairly and rationally among users.