2 research outputs found

    On the Capacity of Wireless Powered Cognitive Relay Network with Interference Alignment

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    In this paper, a two-hop decode-and-forward cognitive radio system with deployed interference alignment is considered. The relay node is energy-constrained and scavenges the energy from the interference signals. In the literature, there are two main energy harvesting protocols, namely, time-switching relaying and power-splitting relaying. We first demonstrate how to design the beamforming matrices for the considered primary and secondary networks. Then, the system capacity under perfect and imperfect channel state information scenarios, considering different portions of time-switching and power-splitting protocols, is estimated.Comment: 14 pages, 4 figures, To appear in IEEE Global Communications Conference 2017, Singapore, December 201

    Ergodic Capacity Analysis of Wireless Powered AF Relaying Systems over α\alpha-μ\mu Fading Channels

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    In this paper, we consider a two-hop amplify-and-forward (AF) relaying system, where the relay node is energy-constrained and harvests energy from the source node. In the literature, there are three main energy-harvesting (EH) protocols, namely, time-switching relaying (TSR), power-splitting (PS) relaying (PSR) and ideal relaying receiver (IRR). Unlike the existing studies, in this paper, we consider α\alpha-μ\mu fading channels. In this respect, we derive accurate unified analytical expressions for the ergodic capacity for the aforementioned protocols over independent but not identically distributed (i.n.i.d) α\alpha-μ\mu fading channels. Three special cases of the α\alpha-μ\mu model, namely, Rayleigh, Nakagami-mandWeibull fading channels were investigated. Our analysis is verified through numerical and simulation results. It is shown that finding the optimal value of the PS factor for the PSR protocol and the EH time fraction for the TSR protocol is a crucial step in achieving the best network performance.Comment: 14 pages, 7 figures, To appear in IEEE Global Communications Conference (IEEE Globecom), Singapore, December 201
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