LCR TDD系统中关键技术对分组数据业务的影响

Impact of Key Techniques on Packet Traffics in LCR TDD Systems

该文研究了LCRTDD系统中先进的RRM(无线资源管理)算法及其它关键技术对分组业务的影响,提出了一种基于速率预测的正比公平算法,通过动态系统级仿真得出结合智能天线(SA)或联合检测(JD)的不同调度算法对于数据业务吞吐量的改善,并横向对比了以上关键技术分别对于系统性能提升的作用。最后通过对仿真结果的评估,可以发现采用联合检测与智能天线相结合,并使用新的RRM算法不仅能够保证服务用户的公平性,而且对处于交叉时隙的分组数据用户的吞吐量的改善也是很明显的。

Key techniques and the advanced RRM （Radio Resource Management） algorithms in LCR TDD systems are researched in this paper. An scheduling algorithm based on rate-prediction is proposed. In order to compare these technique functions, different scheduling strategies combined with SA （Smart Antenna） or JD （Joint Detection）, which improve the throughput of packet traffics are simulated in dynamic system layer simulation. As some curves are obtained, new RRM algorithm with both SA and JD can not only balance the opportunity of all users, but also keep the throughput of users in cross slots at a high level.