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Sensors 2017, 17(11), 2604;

Wireless Energy Harvesting Two-Way Relay Networks with Hardware Impairments

Chongqing Key Lab of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA
Author to whom correspondence should be addressed.
Received: 15 October 2017 / Revised: 6 November 2017 / Accepted: 7 November 2017 / Published: 13 November 2017
(This article belongs to the Special Issue Wireless Rechargeable Sensor Networks)
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This paper considers a wireless energy harvesting two-way relay (TWR) network where the relay has energy-harvesting abilities and the effects of practical hardware impairments are taken into consideration. In particular, power splitting (PS) receiver is adopted at relay to harvests the power it needs for relaying the information between the source nodes from the signals transmitted by the source nodes, and hardware impairments is assumed suffered by each node. We analyze the effect of hardware impairments on both decode-and-forward (DF) relaying and amplify-and-forward (AF) relaying networks. By utilizing the obtained new expressions of signal-to-noise-plus-distortion ratios, the exact analytical expressions of the achievable sum rate and ergodic capacities for both DF and AF relaying protocols are derived. Additionally, the optimal power splitting (OPS) ratio that maximizes the instantaneous achievable sum rate is formulated and solved for both protocols. The performances of DF and AF protocols are evaluated via numerical results, which also show the effects of various network parameters on the system performance and on the OPS ratio design. View Full-Text
Keywords: energy harvesting; two-way relay; hardware impairments; ergodic capacity; optimal power splitting energy harvesting; two-way relay; hardware impairments; ergodic capacity; optimal power splitting

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Peng, C.; Li, F.; Liu, H. Wireless Energy Harvesting Two-Way Relay Networks with Hardware Impairments. Sensors 2017, 17, 2604.

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