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SCHEDULING FOR STREAMING APPLICATION OVER WIDEBAND CELLULAR NETWORK IN MIXED SERVICE SCENARIOS

机译:混合服务场景中宽带蜂窝网络流媒体应用的调度

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This paper considers the multi-user scheduling algorithms for mixed streaming and best-effort service scenario over wideband frequency-selective and time varying channel in cellular network such as E-UTRAN[1] and compares their performance. First, the frequency-selective proportional fair (PF) scheduling is proposed under user's maximum transmission power capability and continuous resource constraints, which is used to reduce the peak to average power ratio (PAPR) for uplink. In addition, the proportional fair with guaranteed bit rate (PFGBR) is proposed to enhance the quality of service (QoS) of streaming services and improve the user experience in terms of bit rate and delay. The PFGBR is to optimize the concave utility function of ∑{sub}i log R{sub}i while provides guaranteed bit rate specifically for streaming applications. At last, various scheduling algorithms are studied and evaluated to support the mixture of the streaming and best-effort services simultaneously with streaming users receiving their desired QoS and best-effort users receiving the maximum possible throughput without compromising the QoS requirement of streaming users.
机译:本文考虑了在蜂窝网络中的宽带频率选择和时变信道的混合流和最佳工作场景的多用户调度算法,例如E-UTRAN [1]并比较它们的性能。首先,在用户的最大传输功率能力和连续资源约束下提出了频率选择性比例公平(PF)调度,其用于将峰值降低到上行链路的平均功率比(PAPR)。此外,提出了具有保证比特率(PFGBR)的比例公平,以提高流媒体服务的服务质量(QoS),并在比特率和延迟方面提高用户体验。 PFGBR是优化Σ{sub} i log {sub} i的凹形实用程序函数,而专门为流式传输应用提供有保证比特率。最后,研究并评估了各种调度算法,以支持流媒体和最佳服务的混合,同时通过接收所需的QoS和最佳努力的流用户来支持最大可能吞吐量而不影响流用户的QoS要求。

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