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Optimal Energy-efficient Power Allocation For Asynchronous Cognitive Radio Networks using FBMC/OFDM

机译:使用FBMC / OFDM的异步认知无线电网络最佳节能功率分配

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This paper addresses the problem of energy-efficiency (EE) within an underlay cognitive radio (CR) network where primary users (PUs) and secondary users (SUs) utilize two types of multicarrier modulation: orthogonal frequency-division multiplexing (OFDM) and filter bank based multicarrier (FBMC). The problem of non-cooperative SU downlink energy-efficiency is investigated using a game theoretic approach. We reformulate the EE optimization problem as a non-cooperative power allocation game (NPAG). A distributed power control algorithm is proposed to find the optimal power allocation strategy for each secondary base station on each subcarrier. The proposed non-cooperative game is demonstrated to reach a Nash-equilibrium (NE) point. Simulation analyses are then provided in order to validate the efficiency of our proposed distributed algorithm and also to highlight the advantages of using FBMC as a modulation technique if compared to OFDM.
机译:本文解决了底层认知无线电(CR)网络中的能效(EE)的问题,其中主要用户(PU)和辅助用户(SUS)利用两种类型的多载波调制:正交频分复用(OFDM)和滤波器基于银行的多载波(FBMC)。使用游戏理论方法研究了非合作SU下行链路能效的问题。我们将EE优化问题重构为非合作电力分配游戏(NPAG)。提出了一种分布式功率控制算法,用于在每个子载波上找到每个辅助基站的最佳功率分配策略。拟议的非合作游戏被证明达到纳什平衡(NE)点。然后提供仿真分析以验证我们提出的分布式算法的效率,并且还突出了使用FBMC作为调制技术的优势,如果与OFDM相比。

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