有限反馈MIMO-OFDM系统公平性资源分配算法

Fair Resource Allocation Algorithm Based on Limited Feedback in MIMO-OFDM System

针对多输入多输出正交频分复用(Multiple input multiple output-orthogonal frequency division multiple-xing,MIMO-OFDM)系统资源分配过程中信道信息反馈开销过大的问题,给出了一种基于有限反馈的公平性资源分配算法。该算法在发射总功率、目标误码率以及用户间比例速率约束条件下,以最大化系统和容量为目标,将相邻子载波分簇并反馈部分簇的信道状态信息(Channel state information,CSI),利用部分已反馈簇的信道状态信息CSI对未反馈簇的CSI进行估计,据此进行子载波簇、功率和比特三级分配。仿真结果表明,该算法在保证用户间比例公平性和系统和容量性能的同时,有效降低了系统的反馈开销,实现了系统性能与反馈开销的良好折中。

Aiming at the high channel state information （CSI） feedback spending in resource al- location of multi-user multiple input multiple output orthogonal frequency division multiple- xing （MIMO-OFDM） system, a fair resource allocation algorithm is proposed based on limited feedback. The algorithm is to maximize the system throughput under the constraint of trans- mission total power, bit error rate （BER） and proportionality among user data rates. It sepa- rates the adjacent subcarriers into a group and feed partial group channel state information （CSI） back. The feed-backed CSI partial group can be used to estimate the others without CSI feedback, and then subcarrier groups, power and bits should be allocated. Simulation results show that the algorithm ensures usersr proportion fairness and system throughput, and reduces system feedback cost, which makes a good tradeoff between performance and cost of feedback.