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Optimal Power Control for Underlay Cognitive Radio Systems With Arbitrary Input Distributions

机译:具有任意输入分布的底层认知无线电系统的最优功率控制

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This paper studies optimal power control policies that maximize the achievable rates of underlay cognitive radio systems with arbitrary input distributions under both peak/average transmit power and peak/average interference power constraints for general fading distributions. In particular, optimal power adaptation schemes are formulated and low-complexity optimal power control algorithms are proposed. Additionally, simpler approximations of optimal power control policies in the low-power regime are determined. By considering gamma distributed channel power gains of the interference link between the secondary transmitter and the primary receiver and of the transmission link between the secondary transmitter and the secondary receiver, closed-form expressions for the maximum achievable rate attained with optimal power control in the low-power regime are provided. Through numerical results, the impact of the fading severity of both interference and transmission links and transmit power and interference power constraints on the maximum achievable rate of the cognitive user for different practical constellations and Gaussian signals are investigated.
机译:本文研究了最佳功率控制策略,该策略可以在一般衰落分布的峰值/平均发射功率和峰值/平均干扰功率约束下,最大化具有任意输入分布的底层认知无线电系统的可实现速率。特别是,提出了最优功率自适应方案,并提出了低复杂度的最优功率控制算法。另外,确定了低功率状态下最佳功率控制策略的更简单近似。通过考虑次要发射机和主接收机之间的干扰链路以及次要发射机和次要接收机之间的传输链路的伽马分布信道功率增益,可以在较低的最佳功率控制下获得最大可实现速率的闭式表达式。提供权力制度。通过数值结果,研究了干扰和传输链路的衰落严重程度以及发射功率和干扰功率约束对不同实际星座和高斯信号的认知用户最大可达到速率的影响。

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