TY - GEN
T1 - Impact of NLPA on SWIPT Enabled Two-Way AF Cooperative Network
AU - Kumar, Deepak
AU - Singya, Praveen Kumar
AU - Bhatia, Vimal
N1 - KAUST Repository Item: Exported on 2021-06-17
PY - 2021
Y1 - 2021
N2 - In this paper, we investigate the impact of nonlinear distortion on the overall system outage probability of simultaneous wireless information and power transfer enabled two-way amplify-and-forward relaying network by employing three different nonlinear power amplifier (NLPA) models such as traveling wave tube amplifier, soft envelope limiter, and solid-state power amplifier at the relay node. We consider a time-switching based protocol at the energy-constrained relay node to harvest energy and information transmission. We derive the closed-form expression of the system outage probability by utilizing the selection combining technique at the source nodes over Nakagami-m fading channels. System throughput and energy efficiency of the network are also investigated. The impact of NLPA, threshold data-rate, fading severity, and time-switching factor are highlighted on the network’s performance. Finally, the derived analytical results are validated by the Monte Carlo simulations.
AB - In this paper, we investigate the impact of nonlinear distortion on the overall system outage probability of simultaneous wireless information and power transfer enabled two-way amplify-and-forward relaying network by employing three different nonlinear power amplifier (NLPA) models such as traveling wave tube amplifier, soft envelope limiter, and solid-state power amplifier at the relay node. We consider a time-switching based protocol at the energy-constrained relay node to harvest energy and information transmission. We derive the closed-form expression of the system outage probability by utilizing the selection combining technique at the source nodes over Nakagami-m fading channels. System throughput and energy efficiency of the network are also investigated. The impact of NLPA, threshold data-rate, fading severity, and time-switching factor are highlighted on the network’s performance. Finally, the derived analytical results are validated by the Monte Carlo simulations.
UR - http://hdl.handle.net/10754/669603
UR - https://ieeexplore.ieee.org/document/9448815/
U2 - 10.1109/VTC2021-Spring51267.2021.9448815
DO - 10.1109/VTC2021-Spring51267.2021.9448815
M3 - Conference contribution
SN - 978-1-7281-8965-9
BT - 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)
PB - IEEE
ER -
