Impact of Power Consumption Models on the Energy Efficiency of Downlink NOMA Systems

Syllas R.C. Magalhães*, Suzan Bayhan, Geert Heijenk

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

While non-orthogonal multiple access (NOMA) improves spectral efficiency, it adds complexity to the receivers due to successive interference cancellation (SIC). Prior studies on the energy efficiency of NOMA overlook the SIC overhead and rely on simplistic power consumption models (PCM). To fill this gap, we first introduce PCM- $\kappa $ that accounts for SIC-related power expenditure. Then, to investigate the energy efficiency of NOMA and joint transmission (JT)-coordinated multipoint (CoMP) NOMA, we formulate a power allocation problem for maximizing the energy efficiency and propose a global approach running at a centralized entity and a local algorithm running at a base station. We evaluate the energy efficiency using PCM- $\kappa $ and two PCMs commonly used in the literature. Numerical analysis suggests that using simplistic PCMs leads to a few orders of magnitude overestimation of energy efficiency, especially when the receivers have low rate requirements. Despite the superiority of JT-CoMP NOMA over conventional NOMA in finding a feasible power allocation, the difference in their energy efficiency is only marginal when users have identical rate requirements and more significant in more heterogeneous settings with users having different rate requirements. Moreover, when conventional NOMA is feasible, the optimal solution for JT-CoMP NOMA converges to conventional NOMA.
Original languageEnglish
Article number10153599
Pages (from-to)1739-1753
Number of pages15
JournalIEEE Transactions on Green Communications and Networking
Volume7
Issue number4
Early online date15 Jun 2023
DOIs
Publication statusPublished - Dec 2023

Keywords

  • NOMA
  • Phase change materials
  • Interference cancellation
  • Receivers
  • Resource management
  • Decoding
  • Energy efficiency
  • Power demand
  • Energy consumption
  • 2024 OA procedure

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