Network Coding Schemes with MIMO-NOMA for Two-Way Relay Networks

Ali Farzamnia, Ngu War Hlaing, Muralindran Mariappan, Liau Chung Fan

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

3 Citations (Scopus)

Abstract

The combination of Non-orthogonal Multiple Access (NOMA) and Multi-antenna Multi-input Multi-output (MIMO) approach has been considered as an assuring multiple access for fifth generation (5G) technology to improve the system network capacity and the efficiency of the spectrum. In this paper, we investigated a MIMO-NOMA based network code, exclusive-OR (XOR) scheme which applies physical layer network coding (PNC) in two-way relay networks to reduce the transmission time slots. The Quadrature Phase Shift Keying (QPSK) modulation technique is selected to apply to enable the data source transmitting with the carrier wave. In this paper, convolutional codes and the Soft Decision Viterbi algorithm is used to encode and decode the information bits. The coded MIMO-NOMA gives the less bit error rate compared to coded NOMA alone. Moreover, we have analyzed the spectral efficiency and energy efficiency in NOMA and MIMO-NOMA. The sum capacity and transmission rate are also compared in NOMA and MIMO-NOMA scheme. The simulation results show that MIMO-NOMA has higher spectral efficiency and faster transmission rate than NOMA scheme. Finally, the user fairness of MIMO-NOMA has been evaluated.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages101-105
Number of pages5
ISBN (Electronic)9781538678138, 9781538678121
ISBN (Print)9781538678138
DOIs
Publication statusPublished - 10 Feb 2019
Externally publishedYes
Event2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology - Kota Kinabalu, Sabah, Malaysia
Duration: 8 Nov 20188 Nov 2018

Conference

Conference2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology
Abbreviated titleIICAIET 2018
Country/TerritoryMalaysia
CityKota Kinabalu, Sabah
Period8/11/188/11/18

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