LTE系统中基于缓存信息的非实时业务调度算法

为解决LTE系统中非实时业务调度算法比例公平PF(proportional fair)算法在分组数据业务模型下性能一般的问题，结合分组数据业务特点，在有限缓存队列模型下，提出一种兼顾系统吞吐量和用户公平性的非实时业务调度算法-基于缓存信息的调度BIBS(buffer information based scheduling)算法.该算法综合考虑了用户信道条件和缓存区内待传送的数据包信息.仿真结果表明，在不同平均速率的业务下，与PF算法相比，本文提出的算法在有效地提升系统吞吐量的同时，用户间公平性和通信中断性能也得到了极大的改善.
In LTE system, in order to solve the problem that the performance of Proportional Fair (PF) scheduling algorithm for non-real-time traffic is far from optimal in wireless packet service model, we propose a new scheduling algorithm-Buffer Information Based Scheduling (BIBS) Algorithm, which can guarantee the system throughput and user fairness in finite-buffer line model. Simulation results show that compared with PF scheduling algorithm, the proposed algorithm can improve system throughput, user fairness and outage performance in different traffic models with the consideration of instantaneous downlink channel condition and packet data to be transmitted in buffer of each user.