机构地区: 华中科技大学电子与信息工程系
出 处: 《华中科技大学学报(自然科学版)》 2009年第5期9-13,共5页
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. 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.