【摘要】 针对无线多媒体通信网络,提出一种基于业务和信道信息的自适应跨层调度算法(TCAS).引入调度概率作为决策因子,利用业务流量和信道状态等跨层信息,设计出基于决策因子的预分配和实时调度相结合的资源分配方法.仿真结果表明,该算法与比例公平调度(PFS)算法和基于信道和队列信息的调度策略(CASTI)算法等经典算法相比,在无线多媒体应用环境中具有更强的适应性和稳定性,可提供多样服务质量(QoS)保证,并显著提高了资源利用率.更多还原

【Abstract】 An traffic and channel information-based adaptive cross-layer scheduling algorithm(TCAS) for wireless multi-media communication network was proposed,in which the scheduling probability was introduced as a decision-making factor.The resource allocation approach was designed that integrate pre-allocation and on-line scheduling based on decision-making factor,using the cross-layer information of traffic and channel.Simulation results show that compared with proportional fair sharing(PFS) scheduling and channel-aware scheduling with transmitted traffic information(CASTI) algorithm,the proposed algorithm has flexibility and stability for multi-media in the wireless network,which does not only provide diverse quality of service(QoS) guarantee,but also improve the resource utility significantly.更多还原