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On Energy Efficiency of IEEE 802.16m Interframe Scheduling for Scalable Video Multicast

机译:可伸缩视频组播的IEEE 802.16m帧间调度能效研究

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IEEE 802.16m resource scheduling remains a challenging issue for video multicast. Given the OFDMA frame structure, the IEEE 802.16m scheduling task is comprised of: (1) intraframe scheduling; and (2) interframe scheduling. In the literature, while many studies concentrated on the development of intraframe scheduling mechanisms, few studies looked at the potential of interframe scheduling mechanisms. This paper is the first attempt to investigate the energy efficiency potential of interframe scheduling algorithms to support scalable-video multicast services over IEEE 802.16m networks. Under the premise that the bandwidth requirements of scalable-video subscribers must be satisfied, we first prove that the interframe scheduling problem of minimizing video-subscriber energy consumption is NP-hard. To tackle the NP-hard problem, we propose a multiple bin-packing algorithm, MBPA, for energy-efficient scheduling. The proposed MBPA has full compatibility with the existing intraframe scheduling mechanisms and with the IEEE 802.16m sleep-mode operations. By applying the divide-and-conquer strategy, MBPA effectively eliminates unnecessary wake-up periods and unnecessary state transitions (between wake-up and sleep states), and thus achieves high energy-efficiency. Through theoretical analysis, we show that MBPA is a -approximation algorithm, where is a finite value no less than one. Finally, the simulation results show the effectiveness of the proposed MBPA in energy efficiency, user satisfaction, and computational complexity.
机译:对于视频组播,IEEE 802.16m资源调度仍然是一个具有挑战性的问题。给定OFDMA帧结构,IEEE 802.16m调度任务包括:(1)帧内调度; (2)帧间调度。在文献中,尽管许多研究集中于帧内调度机制的发展,但很少有研究关注帧间调度机制的潜力。本文是首次尝试研究帧间调度算法在IEEE 802.16m网络上支持可伸缩视频组播服务的能效潜力。在必须满足可伸缩视频用户带宽需求的前提下,我们首先证明使视频用户能耗最小的帧间调度问题是NP难的。为了解决NP难题,我们提出了一种用于能源效率调度的多重装箱算法MBPA。拟议的MBPA与现有的帧内调度机制以及IEEE 802.16m睡眠模式操作具有完全兼容性。通过应用分而治之的策略,MBPA有效地消除了不必要的唤醒时间和不必要的状态转换(唤醒和睡眠状态之间),从而实现了高能效。通过理论分析,我们表明MBPA是一种近似算法,其中的有限值不小于1。最后,仿真结果表明了所提出的MBPA在能源效率,用户满意度和计算复杂度方面的有效性。

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