Energy-Efficient Power Allocation for Uplink NOMA

Ming Zeng, Animesh Yadav, Octavia A. Dobre, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Scopus citations

Abstract

In this paper, energy efficient power allocation is considered for a multiuser uplink non-orthogonal multiple access (NOMA) system under quality of service (QoS) constraints. Due to the QoS requirements, the considered energy-efficiency (EE) maximization problem may be infeasible and it is first required to determine the feasibility conditions. Then in a feasible region, the considered problem is shown to be pseudo-concave and can be solved by employing Dinkelbach's algorithm. Moreover, for the two extreme cases with very low and high maximum transmit power constraints, analytical results are provided, which shed light on how power is allocated to each user to maximize the EE. Simulation results are presented, which show that with a low maximum transmit power constraint, NOMA may perform worse than the conventional orthogonal multiple access (OMA) in terms of EE. However, under a high maximum transmit power constraint, NOMA always outperforms OMA.

Original languageEnglish (US)
Title of host publication2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538647271
DOIs
StatePublished - 2018
Event2018 IEEE Global Communications Conference, GLOBECOM 2018 - Abu Dhabi, United Arab Emirates
Duration: Dec 9 2018Dec 13 2018

Publication series

Name2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings

Conference

Conference2018 IEEE Global Communications Conference, GLOBECOM 2018
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period12/9/1812/13/18

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Signal Processing
  • Modeling and Simulation
  • Instrumentation
  • Computer Networks and Communications

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