Analysis of NOMA for future cellular communication

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

16 Citations (Scopus)

Abstract

NOMA is the emerging and most suitable wireless technology for next generation communication system, due to its inherent capability to meet diverse exigency. The parameters which make 5G technology superior over existing technology are minimum delay, high reliability, enormous connectivity and high data rate. This technology facilitates access to several clients simultaneously and within identical frequency range using differential power domain concept. To mitigate the energy consumption and provide the viable green communication the 5G scheme has been introduced. The proposed work focuses on the energy efficient resource optimization for NOMA. There are multiple NOMA procedures such as power and code-domain. The researchers across the globe have shown that NOMA can be utilized optimally to fulfill both system level and clients experience prerequisites of fifth generation innovations. Apropos, this paper does elaborate studies on the current evolution of NOMA in 5G structure, scrutinizing on the cutting edge limit examination, control selection technique, client requirement, and client complementing scheme in NOMA.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Trends in Electronics and Informatics, ICOEI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages389-395
Number of pages7
ISBN (Electronic)9781538694398
DOIs
Publication statusPublished - 04-2019
Event3rd International Conference on Trends in Electronics and Informatics, ICOEI 2019 - Tirunelveli, India
Duration: 23-04-201925-04-2019

Publication series

NameProceedings of the International Conference on Trends in Electronics and Informatics, ICOEI 2019
Volume2019-April

Conference

Conference3rd International Conference on Trends in Electronics and Informatics, ICOEI 2019
Country/TerritoryIndia
CityTirunelveli
Period23-04-1925-04-19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems

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