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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.
Aiming at wireless multimedia communication network, an adaptive cross-layer scheduling algorithm (TCAS) based on traffic and channel information is proposed. By introducing scheduling probability as a decision making factor and using cross-layer information such as traffic and channel state, And real-time scheduling.The simulation results show that compared with classical algorithms such as PFS algorithm and CASTI algorithm based on channel and queue information, the proposed algorithm can be used in wireless multimedia applications With greater adaptability and stability, it offers a variety of Quality of Service (QoS) guarantees and dramatically increases resource utilization.