跨层无线资源管理算法研究
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摘要
在以用户为中心的移动通信系统中,用户对系统的服务质量(QoS)的满意度是衡量系统性能的重要指标之一。本文结合媒体接入控制子层业务的动态特性和物理层无线信道的时频二维弥散特性,从提高用户对系统的满意度的角度出发,从事OFDM系统中的跨层无线资源管理算法研究。
     论文首先介绍了OFDM技术、业务模型及建模方法,以及多用户多业务OFDM系统下行链路。进而,介绍了无线通信系统中的资源管理方法,其中包括多载波系统中的调度算法、子载波、比特和功率联合分配算法、跨层无线资源管理算法等。
     多媒体业务具有高速率、低时延的特性,这种特性为基于分组传输的移动通信系统的设计带来了很大的挑战。本文从丢弃分组比分组延时让用户更加难以忍受的角度出发,提出了一种适用于这种业务的跨层资源分配方法。根据用户队首分组的延时与该业务可以忍受的最大分组时延之间的关系,将用户的分组分成高、低两个优先级。通过先为高优先级分组分配资源,后为低优先级分组分配资源的策略,结合自适应子载波、功率联合分配方法,提高了系统的功率效率,减少了平均分组等待时延,从而提高了用户对系统的满意度。
     在移动通信系统中,用户间的公平性受到了越来越广泛的关注。针对多用户多业务系统中,公平性不统一的现状,本文提出了一种新的基于跨层设计的公平性准则,即服务质量满意度公平性准则。该准则将适用于非实时业务的吞吐量公平性准则,和适用于实时业务的时延公平性准则进行了有效的统一。基于该准则,本文还提出了一种新的跨层自适应资源分配算法。仿真结果显示该算法不仅可以满足具有多种类型业务的OFDM系统中每一类业务的QoS要求,而且可以保证用户间的服务质量满意度公平性。
     针对现有跨层资源管理算法主要通过效用函数的设计达到系统性能优化这一现状,本文提出了一种充分利用OFDM系统时频二维特性的算法框架。基于该算法框架,已有的资源管理方案,无论是针对单信道系统设计的还是针对多信道系统设计的,也无论是针对实时业务设计的还是针对非实时业务设计的,都可以被方便有效地应用于OFDM系统,且该系统既可以具有多种类型的业务,又可以仅仅具有单一类型的业务。通过为不同类型的业务配置不同的参数,该算法框架可以在充分利用系统资源和提高各用户服务质量满意度之间取得折衷,并保证不同类型业务接收到的服务质量的公平性,满足多用户多业务的QoS要求。
In the mobile communication systems centring on users,the level of users' satisfaction to the quality of service(QoS)of systems is one of the most important criterions to scaling system performance.This thesis are engaged in cross-layer wireless resource management algorithm research in the OFDM systems,jointing the dynamic character in the media access control sublayer as well as time-frequency dispersion character in the physical layer,considering the improvement of users' satisfaction to the system.
     Firstly,this thesis introduces the OFDM technique,traffics model and moduling methods,as well as multiuser multi-traffics OFDM downlink.Then,this thesis introduces the resource management schemes in wireless communication systems, including scheduling schemes in multi-carrier systems,adaptive subcarrier-bit-power allocation schemes,as well as cross-layer wireless resource management schemes.
     The characters of multi-media traffic,such as high rate and low delay,bring great challenge to the design of packet-based mobile communication systems.Since dropping a packet is less desirable than delaying a packet,this thesis introduces a cross-layer resource allocation scheme for this type of traffics.According to the relationship between the head-of-line delay and the maximum tolerable packet delay, users' packets are classified into two priorities:high priority and low priority.Through the policy of allocating resources to packets with high priority firstly,and to packets with low priority secondly,which is combined with adaptive subcarrier-power allocation,the scheme can improve system power efficiency,decrease average packet delay and enhance users' satisfying level.
     In the mobile communication systems,fairness among users have come under more and more attention.Focusing on the actuality of fairness disunity,this thesis introduces a new fairness criterion based on cross-layer design,that is the QoS satisfaction fairness criterion.Unlike the existed throughput fairness criterion suitable for non-real-time traffic and the existed delay fairness criterion tailored for real-time traffic,the proposed QoS satisfaction criterion handles heterogeneous traffics in an unified fashion.With the new fairness criterion,this thesis develeops a cross-layer adaptive resource allocation algorithm.Simulation resultes show that the scheme can not only satisfy the QoS requirements of heterogeneous types of traffics in OFDM systems,but also guarantee users' QoS satisfaction fairness
     Foucsing on the actuality that cross-layer wireless resource management schemes mainly improve system performance through the design of utility functions,this thesis introduces a framework which can utilize sufficiently the characters of two dimensions (the time domain and the frequency domain)in OFDM systems.Resource management schemes either designed for single carrier systems or for multi-carrier systmes,as well as,either designed for real-time traffics or for non-real-time traffics, can be utilized efficiently in the OFDM systems based on the proposed framework, which can have either heterogeneous types of traffics or single type of traffics. Through configuring different values of parameters for different types of traffics,the algorithm can achieve diverse levels of tradeoff between system utility and traffic QoS satisfaction,guarantee the fairness among different types of traffics as well as the QoS requirements of users'.
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