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Opportunistic scheduling for streaming multimedia users in high-speed downlink packet access (HSDPA)

机译:高速下行链路分组访问(HSDPA)中流式多媒体用户的机会调度

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High-speed downlink packet access (HSDPA) achieves high data rates and high spectral efficiency by using adaptive modulation and coding schemes and employing multicode CDMA. In this paper, we present opportunistic algorithms for scheduling HSDPA users and selecting modulation/coding and multicode schemes that exploit channel and buffer variations to increase the probability of uninterrupted media play-out. First, we introduce a stochastic discrete event model for a HSDPA system. By employing the discrete event model, we transform the scheduling problem of providing uninterrupted play-out to a feasibility problem that considers two sets of stochastic quality-of-service (QoS) constraints: stability constraints and robustness constraints. A methodology for obtaining a feasible solution is then proposed by starting with a so-called stable algorithm that satisfies the stability QoS constraints. Next, we present stochastic approximation algorithms that adapt the parameters of the stable algorithm in a way that a feasible point for the robustness QoS is reached within the feasibility region of the stability QoS.
机译:高速下行链路分组访问(HSDPA)通过使用自适应调制和编码方案并采用多码CDMA来实现高数据速率和高频谱效率。在本文中,我们提出了机会算法,用于调度HSDPA用户并选择调制/编码和多码方案,这些方案利用信道和缓冲区变化来增加不中断媒体播放的可能性。首先,我们介绍一种用于HSDPA系统的随机离散事件模型。通过采用离散事件模型,我们将提供不间断播出的调度问题转换为考虑了两组随机服务质量(QoS)约束的可行性问题:稳定性约束和鲁棒性约束。然后从满足稳定性QoS约束的所谓稳定算法开始,提出一种获得可行解决方案的方法。接下来,我们提出一种随机逼近算法,该算法以稳定QoS的可行性范围内达到鲁棒性QoS的可行点的方式,对稳定算法的参数进行调整。

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