部分信道状态信息下MIMO-OFDM的跨层资源分配算法

针对跨层多用户多输入多输出-正交频分复用（MIMO-OFDM）系统，以系统最大吞吐量为目标，给出一种基于部分信道状态信息的跨层资源分配算法。该优化问题设计的目标函数包括功率限制、传输速率、子载波占用、不同业务的服务质量需求与数据链路层的队列状态信息等约束条件。在数据链路层存在有限缓存条件下，通过均值反馈模型描述信道状态信息的反馈过程，推导出相应的跨层资源分配准则。仿真结果表明，所提算法与现有方案相比，满足了不同业务用户的QoS要求，并获得了好的吞吐率，降低了丢包率。

Cross-layer resource allocation algorithm of MIMO-OFDM systems with partial channel state information

Cross-layer design is an effective technique for future mobile communication systems.A cross-layer resource allocation algorithm with partial channel state information was explored to maximize the total system throughput for multi-user MIMO-OFDM(Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) system.The objective function of the optimization problem was designed based on the power limitation constraint,transmission rate,average queue length and sub-carrier occupancy,Quality of Service(QoS) requirements of different services and queue state information of data link layer.Under the condition of finite-length user buffer in data link layer,the mean feedback model was utilized to describe the feedback process of channel state information,and then the corresponding cross-layer resource allocation criteria could be derived.The simulation results show that compared with the existing schemes,the proposed algorithms obtain reasonable throughput performance and reduce lost package rate while providing better QoS requirement for each user of different services.