分布式基站中分组调度算法的研究
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摘要
随着移动通信技术的发展,支持的业务类型除了传统的语音业务外,还包括低、高速数据和图像等业务。移动通信网络的目标:一要保证各类业务的服务质量要求,二要保证用户之间的公平性,三要使系统的资源利用率达到最大。这些都需要借助于无线资源管理来实现,对数据业务进行资源管理的无线分组调度算法是无线资源管理的重要组成部分,所以无线分组调度算法将成为影响系统性能保证用户服务质量的关键技术。
     本文分析了分布式基站及HSDPA的关键技术,讨论了目前文献中适用于HSDPA系统的典型无线分组调度算法,分析仿真适用于非实时业务的最大载干比算法、轮循算法和比例公平算法,并对比了它们的主要性能。
     针对目前链路自适应所带来的调度权值难选取的问题,提出一种基于区域划分的调度算法,该算法针对用户速率不同,对用户进行分组,使用户使用无线资源的优先级随用户分组不同而发生变化,仿真结果表明该算法能使整个小区的吞吐量得到提升。
     另外,针对PF算法中新用户给老用户所带来的“饥饿”现象,提出一种基于区域划分下的联合加权算法,通过对用户信道、业务种类、时延变化、热点区域等四个加权因子的调整,增强了系统对各种用户的适应能力。仿真结果表明该算法能有效避免“饥饿”现象,并具有很强的灵活性。
With the development of mobile communications, besides the traditional speech service, the future mobile communication system can also provide other services, such as low/high rate data, video etc. There are three aims for wireless network design, one is to guarantee QoS requirements for various services, another is to guarantee the fairness between users, and the third is to maximize the utilization of the wireless resource. All of these depend on the Radio Resource Management (RRM). Because the future mobile communication system is based on the data traffic, wireless scheduling is the key of influencing system performance and guaranteeing users' QoS.
     Distributed base station and the key techniques of HSDPA are studied, and several typical packet scheduling algorithms are discussed and their performances are compared. Algorithm of fairness and system throughput performance properties are studied through theoretical analysis and simulation.
     Aiming at the problem of difficulty to select the right value in link adaptation system, a regional division algorithm is proposed, and the performance properties are proved through theoretical analysis and simulation. Simulation results show that regional division algorithm changes the priority according to the division of the different rate of the users; the throughput of the system is improved.
     A regional division based on the joint weighted algorithm is studied for the unfairness of the classical PF algorithm. By adjusting four weighted factors, the ability of the system to adapt to various users is enhanced. Simulation results indicate that the "hunger" phenomenon is avoided efficiently.
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