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https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16897
Title: | A Novel Energy Efficient Irs-Relay Network for Its With Nakagami-M Fading Channels |
Authors: | Rajak, Shaik Muniraj, Inbarasan Selvaprabhu, Poongundran Kumaravelu, Vinoth Babu Sarker, Md Abdul Latif Chinnadurai, Sunil Han, Dong Seog |
Keywords: | Intelligent Transportation Systems Nakagami-M Fading Energy Efficiency Irs Snr |
Issue Date: | 2024 |
Publisher: | ICT Express Elsevier |
Citation: | Vol. 10, No. 3; pp. 507-512 |
Abstract: | In this paper, we have investigated the performance of energy efficiency (EE) for Intelligent Transportation Systems (ITS), which recently emerged and advanced to preserve speed as well as safe transportation expansion via a cooperative IRS-relay network. To improve the EE, the relay model has been integrated with an IRS block consisting of a number of passive reflective elements. We analyze the ITS in terms of EE, and achievable rate, with different signal-to-noise ratio (SNR) values under Nakagami-m fading channel conditions that help the system to implement in a practical scenario. From the numerical results it is noticed that the EE for the only relay, IRS, and proposed cooperative relay-IRS-aided network at SNR value of 100 dBm is 30, 17, and 48 bits/joule respectively. In addition, we compare the impact of multi-IRS with the proposed cooperative IRS-relay and conventional relay-supported ITS. Simulation results show that both the proposed cooperative IRS-relay-aided ITS network and multi-IRS-aided network outperform the relay-assisted ITS with the increase in SNR. (c) 2023 The Author(s). Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
URI: | http://dx.doi.org/10.1016/j.icte.2023.11.005 https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16897 |
ISSN: | 2405-9595 |
Appears in Collections: | Journal Articles |
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1-s2.0-S2405959523001480-main.pdf | 1.43 MB | Adobe PDF | View/Open |
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