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首页> 外文期刊>IEEE transactions on wireless communications >A Multi-Server Scheduling Framework for Resource Allocation in Wireless Multi-Carrier Networks
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A Multi-Server Scheduling Framework for Resource Allocation in Wireless Multi-Carrier Networks

机译:无线多运营商网络中用于资源分配的多服务器调度框架

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摘要

Multiuser resource allocation has recently been recognized as an effective methodology for enhancing the power and spectrum efficiency in OFDM (orthogonal frequency division multiplexing) systems. It is, however, not directly applicable to current packet-switched networks because most existing packet- scheduling schemes are based on a single-server model and do not serve multiple users at the same time. In this paper, we propose a cross-layer resource allocation algorithm based on a novel multi-server scheduling framework to achieve overall high system power efficiency in packet-switched OFDM networks. Our contribution is four fold: (i) we propose and analyze a MPGPS (multi-server packetized general processor sharing) service discipline that serves multiple users at the same time and facilitates multiuser resource allocation; (ii) we present a MPGPS-based joint MAC-PHY resource allocation scheme that incorporates packet scheduling, subcarrier allocation, and power allocation in an integrated framework; (iii) by investigating the fundamental tradeoff between multiuser-diversity and queueing performance, we present an A-MPGPS (adaptive MPGPS) service discipline that strikes balance between power efficiency and queueing performance; and (iv) we extend MPGPS to an O-MPGPS (opportunistic MPGPS) service discipline to further enhance the resource utilization efficiency.
机译:近来,多用户资源分配已被认为是一种用于增强OFDM(正交频分复用)系统中的功率和频谱效率的有效方法。但是,它不直接适用于当前的分组交换网络,因为大多数现有的分组调度方案都是基于单服务器模型,并且不能同时为多个用户提供服务。在本文中,我们提出了一种基于新颖的多服务器调度框架的跨层资源分配算法,以在分组交换OFDM网络中实现总体较高的系统功率效率。我们的贡献有四个方面:(i)我们提出并分析一种MPGPS(多服务器分组通用处理器共享)服务准则,该准则可同时为多个用户提供服务并促进多用户资源分配; (ii)我们提出了一种基于MPGPS的联合MAC-PHY资源分配方案,该方案将分组调度,子载波分配和功率分配合并到一个集成框架中; (iii)通过研究多用户多样性和排队性能之间的基本权衡,我们提出了一种A-MPGPS(自适应MPGPS)服务准则,该标准在功率效率和排队性能之间取得了平衡; (iv)我们将MPGPS扩展到O-MPGPS(机会MPGPS)服务学科,以进一步提高资源利用效率。

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