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Game Theoretic Power Control under Rician Slow-Flat Fading Channels in Cognitive Radios Networks

机译:认知无线电网络中Rician慢平衰落信道下的博弈理论功率控制

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Power control is an important resource management concern in wireless cognitive radio networks. In particular, the transmit powers of base stations and handsets must be carefully adjusted to help reduce interference between users and also improve cell capacity. Indeed, large gains can be achieved by taking into account primary user's behaviors and allowing secondary users to utilize the unused spectrum of idling primary users. Along these lines, this study presents a novel game-theoretic solution in which primary users are rewarded for sharing their spectrum with secondary users to help achieve energy-efficient transmission. Overall, this effort extends upon our earlier work on fast-flat fading channels by further analyzing Rician slow-flat- fading channels. In particular, the presentation derives a closed-form expression for the average utility function and also shows the existence and uniqueness of the Nash equilibrium. Detailed simulation results are then presented to verify performance of the game-theoretic formulation under realistic slow-flat fading channels, and the findings compared against those with the simpler additive white Gaussian noise channel model.
机译:功率控制是无线认知无线电网络中重要的资源管理问题。特别是,必须仔细调整基站和手机的发射功率,以帮助减少用户之间的干扰并提高小区容量。确实,通过考虑主要用户的行为并允许次要用户利用闲置的主要用户的频谱,可以取得很大的收益。沿着这些思路,本研究提出了一种新颖的博弈论解决方案,在该解决方案中,主要用户因与次要用户共享频谱而获得奖励,从而有助于实现节能传输。总体而言,通过进一步分析Rician慢平坦衰落信道,这项工作扩展了我们早先在快速平坦衰落信道上的工作。特别地,该表示导出了平均效用函数的闭式表达式,还显示了纳什均衡的存在和唯一性。然后提供了详细的仿真结果,以验证游戏理论公式在逼真的慢平衰落通道下的性能,并将结果与​​采用简单的加性高斯白噪声通道模型的结果进行比较。

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