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Simultaneous cooperative spectrum sensing and wireless power transfer in multi-antenna cognitive radio

机译：多天线认知无线电中的同时协作频谱感测和无线电力传输

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In multi-antenna cognitive radio (CR), the sensing performance of detecting the presence of primary user (PU) in fading channel can be improved through multi-antenna cooperative spectrum sensing. However, the CR may consume more stored energy due to the cooperative spectrum sensing and thus decrease its transmission performance. In this paper, to guarantee the transmission performance, a simultaneous cooperative spectrum sensing and wireless power transfer (SCSSWPT) scheme has been proposed, which can harvest the radio frequency (RF) energy of the PU signal to supply the consumed energy of spectrum sensing. Time splitting model, power splitting and antenna splitting model are proposed to implement cooperative spectrum sensing, energy harvesting and data transmission simultaneously. Three optimization problems have been formulated to maximize spectrum efficiency of the CR in the three SCSSWPT models, respectively, subject to the constraints of detection probability and harvested energy. The simulation results have shown that there is an optimal number of sensing antennas to maximize the spectrum efficiency of the CR, and the time splitting model can achieve higher spectrum efficiency.
机译：在多天线认知无线电（CR）中，可以通过多天线协作频谱感测来提高检测衰落信道中主要用户（PU）存在的感测性能。但是，由于协作频谱感测，CR可能会消耗更多的存储能量，从而降低其传输性能。为了保证传输性能，提出了一种同时协作的频谱感知和无线功率传输（SCSSWPT）方案，该方案可以采集PU信号的射频能量来提供频谱感知消耗的能量。提出了时分模型，功率分裂和天线分裂模型，以同时实现协同频谱感知，能量收集和数据传输。在检测概率和收集能量的约束下，分别提出了三个优化问题以最大化三个SCSSWPT模型中CR的频谱效率。仿真结果表明，存在最佳数量的感应天线以最大化CR的频谱效率，并且时间分割模型可以实现更高的频谱效率。

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