节点文献
LTE不同场景下资源调度分析
LTE Resource Schedule Analyse in Different Scene
【作者】 朱建华;
【作者基本信息】 上海交通大学 , 电子与通信工程(专业学位), 2015, 硕士
【摘要】 LTE系统正越来越成为无线宽带网的主流,资源分配和调度算法是LTE实现功能、提供业务的核心;对于高速通信网络,系统的目标就是获得极限速率和最小延迟,不同数量用户的场景,着重点不同,目标也不同;但就目前网络来说,资源调度策略没有侧重点,统一处理,使网络性能和业务提供不能实现最佳。本文主要研究了不同场景下LTE调度的特点和难点,针对PUCCH、PDCCH等信令资源开销问题,提出了自适应的策略;针对功率配比固化的问题,提出了场景化设置的方法;针对单用户场景极限吞吐率的需求,提出了资源压缩、先降MCS后缩RB及优化HARQ收敛值的优化;针对多用户场景下用户调度平衡的需求,提出公平调度和水桶原理相结合的调度策略;针对大话务场景下开销快速增加和频谱利用问题,提出适当拉长各类定时器减少信令开销和适当调度大包的策略。通过这些具有针对性的解决方案,突破了原先资源调度思维定式,在LTE资源分配优化、性能提升、场景合理化方面都有了明显的增益;通过仿真系统对于这些策略效果与基线进行比较,上下行性能、小区吞吐率、系统稳定性或者无线利用率方面都获得了较大的提升。
【Abstract】 LTE system has increasingly become a mainstream wireless broadband network,resource allocation and scheduling algorithm is the core function,to provide services for the realization of LTE;high speed communication network,the system’s goal is to get the maximum velocity and minimum delay,but the number of users of the scene,with different emphasis,the target is also different;but the current network.Resource scheduling strategy did not focus,unity,so that the network performance and service provision can not achieve the best.This paper mainly studies the characteristics and difficulties of LTE scheduling in different scenarios,to slove PUCCH,PDCCH signaling overhead problem,proposed an adaptive strategy;to slover power distribution,puts forward the method of setting the scene;to maximize user throughput,puts forward the optimization of resouse decreasing and adjusting RB&MCS and different HARQ target;to slove multi-user scheduling balance,proposed fair scheduling and bucket principle combining scheduling strategy;for large traffic scenarios and the rapid increase in the use of spectrum overhead problems,propose appropriate elongated various types of timers reduce signaling overhead and the appropriate scheduling strategy package.Through these solutions,the original resource scheduling is broken.In the LTE resource allocation optimization,performance improvement,the scene has a significant gain.Through the simulation system,the effect of these strategies are compared with the baseline,cell throughput,system stability or wireless utilization rate have been greatly improved.