Simultaneous Power Harvesting and Cyclostationary Spectrum Sensing in Cognitive Radios

Abstract

We expect that 5G will support a large volume of data traffic to provide various services with a low latency. This will inevitably require an increased amount of energy. Wireless power transfer needs a higher receiver sensitivity than data decoding. Increased electromagnetic fields may introduce harmful effects on living organisms. Fortunately, massive multiple-input and multiple-output (MIMO) can provide significant gains in radiated energy and spectral efficiencies. Cognitive radio and 5G are emerging technologies. In this paper, we show that cognitive spectrum sensing and power harvesting can be accomplished simultaneously. Energy detection (ED) with energy harvesting has been widely investigated. However, ED may not work at a low signal-to-noise ratio with a harsh signal fluctuation in millimeter-wave in 5G. Therefore, we focus on cyclostationary spectrum sensing in this paper. We show that the maximum likelihood cyclostationary detection that can be used for power harvesting is the power squared. The cyclic power can be conveniently harvested and used for spectrum sensing.

Keywords

• Cognitive radios
• cyclostationary spectrum sensing
• massive MIMO
• power harvesting