Analyzing non-orthogonal multiple access (NOMA) in downlink poisson cellular networks

Konpal Shaukat Ali, Hesham Elsawy, Anas Chaaban, Martin Haenggi, Mohamed Slim Alouini

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations


Non-orthogonal multiple access (NOMA) is a spectrum reutilization technique that superposes messages in the power domain allowing multiple users to be served in the same time-frequency resource block. Successive interference cancellation (SIC) techniques are used for decoding NOMA. A network model is considered where Poisson distributed base stations transmit to N NOMA users each. We present a signal-to- interference-and-noise-ratio analysis for the coverage of the typical user. Due to SIC, coverage implies the ability to decode the messages of all weaker users in the SIC chain. An efficient algorithm for finding a feasible resource allocation that maximizes the cell sum rate Rtot subject to a minimum rate constraint T on the individual users is provided for general N. We show the existence of an optimum N that maximizes Rtot given a set of network parameters. We also show that NOMA outperforms orthogonal multiple access if the residual intracell interference is below a certain level. The results highlight the importance in choosing network parameters N and T to balance Rtot and fairness.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Communications, ICC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538631805
StatePublished - Jul 27 2018
Event2018 IEEE International Conference on Communications, ICC 2018 - Kansas City, United States
Duration: May 20 2018May 24 2018

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607


Conference2018 IEEE International Conference on Communications, ICC 2018
Country/TerritoryUnited States
CityKansas City

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications


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