TY - GEN
T1 - Performance Analysis of Hybrid Two-Way Relay Network with NLPA and Hardware Impairments
AU - Kumar, Deepak
AU - Singya, Praveen Kumar
AU - Bhatia, Vimal
N1 - KAUST Repository Item: Exported on 2021-05-12
PY - 2021
Y1 - 2021
N2 - In this work, we study the effect of a non-linear power amplifier (NLPA) on the performance of simultaneous wireless information and power transfer (SWIPT) enabled two-way relay network with transceiver hardware impairments (HIs). We employ a hybrid receiver at the relay to process information and harvest energy through the radio-frequency signal. we derive the closed-form expressions of outage probability and asymptotic outage probability by using a selection combining technique at the destination node over Nakagami-m fading channels. The diversity order of the system is determined by using the asymptotic outage probability. We also investigate the throughput and energy efficiency of the system. Further, the impact of NLPA, transceiver HIs, fading severity, hybrid receiver, threshold data-rate, and overall system ceiling are highlighted on the network’s performance. Finally, the derived closed-form expressions are verified through Monte Carlo simulations.
AB - In this work, we study the effect of a non-linear power amplifier (NLPA) on the performance of simultaneous wireless information and power transfer (SWIPT) enabled two-way relay network with transceiver hardware impairments (HIs). We employ a hybrid receiver at the relay to process information and harvest energy through the radio-frequency signal. we derive the closed-form expressions of outage probability and asymptotic outage probability by using a selection combining technique at the destination node over Nakagami-m fading channels. The diversity order of the system is determined by using the asymptotic outage probability. We also investigate the throughput and energy efficiency of the system. Further, the impact of NLPA, transceiver HIs, fading severity, hybrid receiver, threshold data-rate, and overall system ceiling are highlighted on the network’s performance. Finally, the derived closed-form expressions are verified through Monte Carlo simulations.
UR - http://hdl.handle.net/10754/669175
UR - https://ieeexplore.ieee.org/document/9417364/
U2 - 10.1109/WCNC49053.2021.9417364
DO - 10.1109/WCNC49053.2021.9417364
M3 - Conference contribution
SN - 978-1-7281-9506-3
BT - 2021 IEEE Wireless Communications and Networking Conference (WCNC)
PB - IEEE
ER -
