An energy-efficient game theoretic approach towards resource block and power allocation in femtocell networks

A. Shahid, Saleem Aslam, H. Kim, Kyung-Geun Lee
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引用次数: 4

Abstract

This study investigates the joint resource block (RB) and power allocation in self-organized femtocell networks. Specifically, the concern here is to maximize the energy efficiency while minimizing the impact of interference in the network. The energy efficiency criterion that is incorporated in this study includes the transmission power and the circuit power. The joint allocation task is modeled as a non-cooperative game, in which the femto base stations are the players and RB and power levels are the actions that are associated with each player. In addition, the proposed non-cooperative game is demonstrated to exhibit pure and unique Nash Equilibrium. In order to minimize the complexity of the proposed non-cooperative game, the joint allocation task is decomposed into two sub problems: a RB allocation and a particle swarm optimization based power allocation. The analysis is carried out regarding energy efficiency and throughput of the femtocell network. Furthermore, the comparison with the traditional methods illustrates the superior performance of the proposed non-cooperative game.
移动蜂窝网络中资源阻塞和功率分配的节能博弈论方法
研究了自组织飞蜂窝网络中的联合资源阻塞和功率分配问题。具体来说,这里关注的是最大限度地提高能源效率,同时最大限度地减少网络干扰的影响。本研究纳入的能效标准包括传输功率和电路功率。将联合分配任务建模为非合作博弈,其中femto基站是参与者,RB和功率水平是与每个参与者相关的操作。此外,本文还证明了所提出的非合作博弈具有纯粹且唯一的纳什均衡。为了使所提出的非合作博弈的复杂性最小化,将联合分配任务分解为两个子问题:RB分配和基于粒子群优化的功率分配。对飞蜂窝网络的能量效率和吞吐量进行了分析。此外,与传统方法的比较表明,所提出的非合作对策具有优越的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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