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Outage Performance Analysis of Energy Harvesting DF Cooperative NOMA Networks over Nakagami-m Fading Channels

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Industrial Networks and Intelligent Systems (INISCOM 2018)

Abstract

In this paper, we investigate the energy harvesting decode-and-forward cooperative non-orthogonal multiple access (NOMA) networks. We study the case of the better user play a role of relay to forward information to the worse user. Specifically, one source node wishes to transmit two symbols to two respective destinations directly and via the help of energy constraint node (better user) with applying the NOMA technique over Nakagami fading channels. In order to evaluate the performance of this considered system, we derive the closed-form expressions for the outage probability (OP) at each user based on the statistical characteristics of signal-to-noise ratio (SNR) and signal-to-interference-plus-noise ratio (SINR). Our analysis is confirmed by Monte Carlo simulation. Finally, in order to look insight this system, we also investigate the effect of several parameters, such as transmit power, power splitting ratio and the location of relay nodes to the outage performance of entire system.

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Acknowledgement

This work was supported by a Research Environment Links grant, ID 339568416,under the Newton Progamme Vietnam partnership. The grant is funded by theUK department of Business, Energy and Industrial Strategy (BEIS) and deliveredby the British Council. This research was also funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under Grant Number 102.04-2017.301.

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Correspondence to Van-Long Nguyen .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Nguyen, VL., Ha, DB. (2019). Outage Performance Analysis of Energy Harvesting DF Cooperative NOMA Networks over Nakagami-m Fading Channels. In: Duong, T., Vo, NS. (eds) Industrial Networks and Intelligent Systems. INISCOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 257. Springer, Cham. https://doi.org/10.1007/978-3-030-05873-9_3

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  • DOI: https://doi.org/10.1007/978-3-030-05873-9_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05872-2

  • Online ISBN: 978-3-030-05873-9

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