Performance of NOMA-based mmWave D2D Networks under Practical System Conditions

Leila Tlebaldiyeva, Galymzhan Nauryzbayev, Sultangali Arzykulov, Ahmed Eltawil

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


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.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Access
StatePublished - 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-12-13

ASJC Scopus subject areas

  • General Engineering
  • General Computer Science
  • General Materials Science


Dive into the research topics of 'Performance of NOMA-based mmWave D2D Networks under Practical System Conditions'. Together they form a unique fingerprint.

Cite this