Uplink OFDM Based NOMA Plagued with Carrier Frequency Offset Errors

Muyiwa B. Balogun, Fambirai Takawira, Olutayo O. Oyerinde

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

6 Scopus citations


Non-orthogonal multiple access (NOMA) scheme has been recognized as a promising candidate for future generation networks. In order to achieve a superior spectral efficiency, the orthogonal frequency division multiplexing (OFDM) technique can be combined with the NOMA scheme. However, introducing OFDM into the NOMA scheme induces carrier frequency offset (CFO) errors in the system. In this paper, the impact of the CFO on the performance of the OFDM based NOMA is investigated and analyzed. Also, to improve the performance of the CFO plagued NOMA-OFDM scheme, an iterative weighted least square (WLS) algorithm is derived and implemented to achieve CFO estimation. First, the conventional least square (LS) method is used to obtain initial CFO estimates. Thereafter, a weighted LS approach is presented, where the weighting parameter is obtained using a Markov estimate. The proposed WLS algorithm utilizes the conventional LS method as its initialization point. Simulation results are presented to show the effect of the CFO errors on the NOMA-OFDM system. Also, the performance of the proposed estimation algorithm is presented and analyzed.

Original languageEnglish
Title of host publicationIEEE AFRICON 2019
Subtitle of host publicationPowering Africa's Sustainable Energy for All Agenda: The Role of ICT and Engineering, AFRICON 2019
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781728132891
StatePublished - 1 Sep 2019
Externally publishedYes
Event2019 IEEE AFRICON, AFRICON 2019 - Accra, Ghana
Duration: 25 Sep 201927 Sep 2019

Publication series

NameIEEE AFRICON Conference
ISSN (Print)2153-0025
ISSN (Electronic)2153-0033


Conference2019 IEEE AFRICON, AFRICON 2019


  • CFO estimation
  • NOMA
  • Non-orthogonal multiple access
  • OFDM

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering


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