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Performance Analysis of Energy Harvesting-Based Full-Duplex Decode-and-Forward Vehicle-to-Vehicle Relay Networks with Nonorthogonal Multiple Access

Nguyen, B.C. and Hoang, T.M. and Pham, X.N. and Tran, P.T. (2019) Performance Analysis of Energy Harvesting-Based Full-Duplex Decode-and-Forward Vehicle-to-Vehicle Relay Networks with Nonorthogonal Multiple Access. Wireless Communications and Mobile Computing, 2019: 6097686. ISSN 15308669

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Abstract

In this paper, a combination of energy harvesting (EH) and cooperative nonorthogonal multiple access (NOMA) has been proposed for full-duplex (FD) relaying vehicle-to-vehicle (V2V) networks with two destination nodes over a Rayleigh fading channel. Different from previous studies, here both source and relay nodes are supplied with the energy from a power beacon (PB) via RF signals, and then use the harvested energy for transmitting the information. For the extensive performance analysis, the closed-form expressions for the performance indicators, including outage probability (OP) and ergodic capacity of both users, have been derived rigorously. Additionally, the effect of various parameters, such as EH time duration, residual self-interference (RSI) level, and power allocation coefficients, on the system performance has also been investigated. Furthermore, all mathematical analytical results are confirmed by Monte-Carlo simulations, which also demonstrate the optimal value of EH time duration to minimize the OP and maximize the ergodic capacity of the proposed system. © 2019 Ba Cao Nguyen et al.

Item Type: Article
Divisions: Faculties > Faculty of Radio-Electronic Engineering
Identification Number: 10.1155/2019/6097686
Uncontrolled Keywords: Channel capacity; Fading channels; Intelligent systems; Mobile telecommunication systems; Monte Carlo methods; Rayleigh fading; Vehicle performance; Analytical results; Closed-form expression; Decode - and - forwards; Outage probability; Performance analysis; Performance indicators; Vehicle to vehicle network (V2V); Vehicle to vehicles; Energy harvesting
Additional Information: Language of original document: English. All Open Access, Gold.
URI: http://eprints.lqdtu.edu.vn/id/eprint/9423

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