Base Station Operation and User Association Mechanisms for Energy-Delay Tradeoffs in Green Cellular Networks
Base Station Operation and User Association Mechanisms for Energy-Delay Tradeoffs in Green Cellular Networks
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DOI：
10.1109/jsac.2011.110903
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发表时间：
2011-08
影响因子：
16.4
通讯作者：
K. Son;Hongseok Kim;Yung Yi;B. Krishnamachari
中科院分区：
文献类型：
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作者：
K. Son;Hongseok Kim;Yung Yi;B. Krishnamachari
近年来，由于网络运营商对环境和经济问题的意识日益增强，无线蜂窝网络的主要设计目标之一——能源效率受到了越来越多的关注。在本文中，我们开发了一个包含BS动态运行和相关用户关联问题的BS节能理论框架。具体来说，我们制定了一个总成本最小化，允许在流量级性能和能耗之间进行灵活的权衡。针对用户关联问题，提出了一种最优节能的用户关联策略，并进一步提出了一种收敛性可证明的分布式实现方案。对于具有挑战性的组合问题BS操作问题（即BS的开/关），我们在子模块化最大化问题的数学背景的启发下，提出了简单的贪心打开和贪心关闭算法。此外，我们还提出了其他启发式算法，这些算法基于信令站之间的距离或信令站的利用，不会施加任何额外的信令开销，因此在实践中易于实现。在各种实际配置下的大量仿真表明，所提出的用户关联和BS操作算法可以显著降低能耗。
Energy-efficiency, one of the major design goals in wireless cellular networks, has received much attention lately, due to increased awareness of environmental and economic issues for network operators. In this paper, we develop a theoretical framework for BS energy saving that encompasses dynamic BS operation and the related problem of user association together. Specifically, we formulate a total cost minimization that allows for a flexible tradeoff between flow-level performance and energy consumption. For the user association problem, we propose an optimal energy-efficient user association policy and further present a distributed implementation with provable convergence. For the BS operation problem (i.e., BS switching on/off), which is a challenging combinatorial problem, we propose simple greedy-on and greedy-off algorithms that are inspired by the mathematical background of submodularity maximization problem. Moreover, we propose other heuristic algorithms based on the distances between BSs or the utilizations of BSs that do not impose any additional signaling overhead and thus are easy to implement in practice. Extensive simulations under various practical configurations demonstrate that the proposed user association and BS operation algorithms can significantly reduce energy consumption.