Abstract
Non-orthogonal multiple Access (NOMA) has garnered considerable attention as a prime candidate for the next generation of wireless communication systems due to its improvement of spectral efficiency. The proposed model exploits one of NOMA’s key features, namely of users having to decode other users messages before decoding their own as part of successive interference cancellation (SIC). The purpose of the proposed model is to utilize such prior knowledge to allow
users to cooperate with other users through their relaying of information, thereby increasing the overall diversity gain and, by extension, each user’s data rate. The main focus of this paper is to asses the proposed model for a multi-user case. The performance comparison between the bit error rate (BER) versus signal-to-noise ratio (SNR) is evaluated along with the data rate experienced at each user with independent Rayleigh fading. User fairness is also analysed through the implementation of extrinsic information transfer (EXIT) charts. Furthermore, expressions for the data rates at each user are derived independently and used to supplement the experimental data.
users to cooperate with other users through their relaying of information, thereby increasing the overall diversity gain and, by extension, each user’s data rate. The main focus of this paper is to asses the proposed model for a multi-user case. The performance comparison between the bit error rate (BER) versus signal-to-noise ratio (SNR) is evaluated along with the data rate experienced at each user with independent Rayleigh fading. User fairness is also analysed through the implementation of extrinsic information transfer (EXIT) charts. Furthermore, expressions for the data rates at each user are derived independently and used to supplement the experimental data.
Original language | English |
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Title of host publication | Proceedings of 2020 European Conference on Communications and Networking |
Subtitle of host publication | EuCNC 2020 |
Publisher | IEEE |
Pages | 281-285 |
Number of pages | 5 |
ISBN (Electronic) | 9781728143552 |
ISBN (Print) | 9781728143569 |
DOIs | |
Publication status | Published - 21 Sep 2020 |
Event | European Conference on Networks and Communications - Virtual conference due to COVID-19 Duration: 16 Jun 2020 → 17 Jul 2020 https://www.eucnc.eu/ |
Conference
Conference | European Conference on Networks and Communications |
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Abbreviated title | EuCNC 2020 |
Period | 16/06/20 → 17/07/20 |
Internet address |