@article{2f972528bcd54e3f8206591bee83440f,
title = "Joint Effects of Residual Hardware Impairments and Channel Estimation Errors on SWIPT Assisted Cooperative NOMA Networks",
abstract = "In this paper, we investigate the effects of residual hardware impairments (RHIs), channels estimation errors (CEEs) and imperfect successive interference cancellation (ipSIC) on the cooperative non-orthogonal multiple access (NOMA) system over Nakagami-$m$ channels, where the amplify-and-forward (AF) relay can harvest energy from the source. The exact expressions for outage probability and ergodic sum rate are derived in closed-form. In addition, the asymptotic outage analyses in the high signal-to-noise (SNR) regime are carried out. The results show that the outage probability exists an error floor due to the existence of CEEs and compared with RHIs, CEEs have a more serious impact on the system outage performance. The close simulation results of Monte Carlo verify the accuracy of our theoretical derivation. Finally, the performance of energy efficiency is examined with RHIs, CEEs and ipSIC.",
keywords = "imperfect successive interference cancellation, NOMA, residual hardware impairments, SWIPT",
author = "Xingwang Li and Meng Liu and Chao Deng and Di Zhang and Gao, {Xiang Chuan} and Rabie, {Khaled M.} and Rupak Kharel",
note = "Funding Information: This work was supported in part by the Henan Scientific and Technological Research Project under Grant 182102210307, in part by the Doctoral Scientific Funds of Henan Polytechnic University under Grant B2016-34, in part by the Fundamental Research Funds for the Universities of Henan Province under Grant NSFRF180309, in part by the Outstanding Youth Science Foundation of Henan Polytechnic University under Grant J2019-4, in part by the Key Scientific Research Projects of Higher Education Institutions in Henan Province under Grant 20A510007, in part by the Research on Video Target Tracking Technology Based on Depth Learning Funds of Huaiyin Institute of Technology under Grant JSLERS-2018-005, and in part by the Research on Campus Security Application System Based on Artificial Intelligence Vision Technology under Grant NSFRF180411. Publisher Copyright: {\textcopyright} 2013 IEEE.",
year = "2019",
month = oct,
day = "1",
doi = "10.1109/ACCESS.2019.2942337",
language = "English",
volume = "7",
pages = "135499--135513",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
}