Performance of NOMA-Based mmWave D2D Networks under Practical System Conditions
Tlebaldiyeva L. Nauryzbayev G. Arzykulov S. Eltawil A.M.
2021Institute of Electrical and Electronics Engineers Inc.
IEEE Access
2021#9160958 - 160974 pp.
This work elaborates the analysis on ergodic capacity, coverage probability, and average throughput for multi-user non-orthogonal multiple access (NOMA) based device-to-device communication networks, which operate in the millimeter-wave spectrum range and are constrained by practical system imperfections such as residual transceiver hardware impairments, imperfect channel state information, and non-ideal successive interference cancellation. More importantly, we consider that the proposed network model is limited by independent and non-identically distributed interference noises emerging from neighboring device nodes. Computationally effective and comprehensive closed-form expressions are delivered to evaluate the ergodic capacity with its upper and lower bounds, as well as coverage probability and average throughput expressions. Furthermore, the asymptotic analysis of ergodic capacity and coverage probability at high and low signal-to-noise-ratio regimes are analyzed and the corresponding closed-form expressions are presented. Valuable discussions on the fairness-based power allocation scheme for NOMA users have been provided. Moreover, a thorough Monte Carlo simulation is carried out to validate the corresponding analytical findings. Finally, simulation results have revealed that the system impairments aforementioned herein cause an ergodic capacity saturation phenomenon. Especially, interference plays a significant role as a performance limitation factor for the ergodic capacity and coverage probability.
Average throughput , coverage probability , device-to-device (D2D) communications , ergodic capacity , imperfect channel state information (CSI) , millimeter-wave (mmWave) , non-orthogonal multiple access (NOMA) , residual transceiver hardware impairment (RTHI)
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Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan
Computer Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955, Saudi Arabia
Department of Electrical and Computer Engineering
Computer Electrical and Mathematical Science and Engineering Division
10 лет помогаем публиковать статьи Международный издатель
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