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Integrating Admission Control and Packet Scheduling for Quality Controlled Streaming Services in HSDPA Networks

机译:在HSDPA网络中集成录取控制和数据包调度在质量控制的流媒体服务中

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High-Speed Downlink Packet Access (HSDPA) uses a shared forward link packet data channel that can achieve peak data rates up to 14.4 Mbps. The newly introduced features that are key to reaching such high rates are link adaptation, Hybrid ARQ (HARQ) and fast scheduling. The decision to admit new users is still taken by the Radio Network Controller (RNC); however, the scheduling role has been moved to the base station (Node-B) for fast adaptability. Although in high speed cellular networks, opportunistic scheduling can exploit multi-user diversity to maximize throughput, with the growing need for strict QoS guarantees for services such as streaming, gaming, and VoIP, a balance should be struck between maximizing throughput and providing user satisfaction. Service operators can enforce their own policies in providing user satisfaction. In this paper, we consider a QoS-aware policy driven scheduling algorithm and its interaction with the admission control mechanism at the RNC. We developed a dynamic HSDPA network simulator in OPNET with link adaptation, HARQ, fast scheduling and quality based admission control. Our simulations show that even with the presence of an admission controller at RNC, the well-known proportional fairness (PF) algorithm dismally fails to provide user satisfaction for streaming services, whereas our Strict Policy Scheduling (SPS) algorithm substantially increases user satisfaction as intended by the admission controller while providing a significant cell capacity gain.
机译:高速下行链路数据包访问(HSDPA)使用共享的前向链接数据包数据通道,可以实现高达14.4 Mbps的峰值数据速率。新引入的功能是达到如此高速率的关键是链接适应,混合ARQ(HARQ)和快速调度。承认新用户的决定仍然是无线电网络控制器(RNC);然而,调度角色已被移动到基站(Node-B)以进行快速适应性。虽然在高速蜂窝网络中,机会调度可以利用多用户分集来最大限度地提高吞吐量,随着STREMP,游戏和VoIP等服务的严格QoS保证的需求越来越大,应在最大化吞吐量和用户满意之间进行平衡。服务运营商可以在提供用户满意度时强制执行自己的政策。在本文中,我们考虑了一种QoS感知策略驱动调度算法及其与RNC的准入控制机制的交互。我们在OPNET中开发了一种动态的HSDPA网络模拟器,具有链路适配,HARQ,快速调度和基于质量的录取控制。我们的模拟表明,即使在RNC的录取控制器的存在下,众所周知的比例公平(PF)算法也不能为流媒体服务提供用户满意度,而我们的严格策略调度(SPS)算法大大提高了用户满意度通过录取控制器提供显着的电池容量增益。

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