Sum-Rate Analysis of MIMO Based CR-NOMA Communication System

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

2 Citations (Scopus)

Abstract

In this paper, we have exploited the key technologies of the next generation communication systems which are cognitive radio (CR), non-orthogonal multiple access (NOMA) and multiple-input-multiple-output (MIMO) and have proposed a framework of simultaneous use of these technologies for the spectral efficient design, named as MIMO based CR-NOMA communication systems. The proposed communication system is defined for the specific case that is MIMO with 2 × 2 antennas and NOMA serving two users. Moreover, the data rate at each antenna of users in derived numerically and further, the sum-data rate for the cognitive users (CUs) is computed. The relationship between sum-data rates of two NOMA users with two antennas each, is described with simulation results.

Original languageEnglish
Title of host publication2019 5th International Conference on Image Information Processing, ICIIP 2019
EditorsP. K. Gupta, Ekta Gandotra, Vipin Tyagi, Satya Prakash Ghrera, Vivek Kumar Sehgal
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages414-419
Number of pages6
ISBN (Electronic)9781728108988
DOIs
Publication statusPublished - Nov 2019
Event5th International Conference on Image Information Processing, ICIIP 2019 - Waknaghat, Solan, Himachal Pradesh, India
Duration: 15 Nov 201917 Nov 2019

Publication series

NameProceedings of the IEEE International Conference Image Information Processing
Volume2019-November
ISSN (Print)2640-074X

Conference

Conference5th International Conference on Image Information Processing, ICIIP 2019
Country/TerritoryIndia
CityWaknaghat, Solan, Himachal Pradesh
Period15/11/1917/11/19

Keywords

  • Cognitive Radio
  • Multiple-Input-Multiple-Output
  • Non-Orthogonal Multiple Access
  • Spectrum Sensing
  • Sum Data Rate

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Health Informatics
  • Radiology, Nuclear Medicine and Imaging

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