Long-term energy constraints and power control in cognitive radio networks

F. Mériaux, Y. Hayel, S. Lasaulce, A. Garnaev
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引用次数: 6

Abstract

When a long-term energy constraint is imposed to a transmitter, the average energy-efficiency of a transmitter is, in general, not maximized by always transmitting. In a cognitive radio context, this means that a secondary link can re-exploit the non-used time-slots. In the case where the secondary link is imposed to generate no interference on the primary link, a relevant issue is therefore to know the fraction of time-slots available to the secondary transmitter, depending on the system parameters. On the other hand, if the secondary transmitter is modeled as a selfish and free player choosing its power control policy to maximize its average energy-efficiency, resulting primary and secondary signals are not necessarily orthogonal and studying the corresponding Stackelberg game is relevant to know the outcome of this interactive situation in terms of power control policies.
认知无线电网络的长期能量约束与功率控制
当发射机受到长期的能量约束时,发射机的平均能量效率通常不会因为一直发射而最大化。在认知无线电环境中,这意味着次要链路可以重新利用未使用的时隙。在次要链路不产生对主要链路的干扰的情况下,一个相关的问题是,根据系统参数,知道次要发射机可用的时隙的比例。另一方面,如果将二次发射机建模为一个自私且自由的参与者,选择其功率控制策略以最大化其平均能量效率,则产生的主、次信号不一定是正交的,研究相应的Stackelberg博弈对于了解这种交互情况下功率控制策略的结果是相关的。
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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