A novel energy efficient IRS-relay network for ITS with Nakagami-m fading channels
Shaik Rajak,
Inbarasan Muniraj,
Poongundran Selvaprabhu,
Vinoth Babu Kumaravelu,
Md. Abdul Latif Sarker,
Sunil Chinnadurai,
Dong Seog Han
Affiliations
Shaik Rajak
Department of Electronics and Communication Engineering, School of Engineering and Science, SRM University-AP, Andhra Pradesh, 522502, India
Inbarasan Muniraj
Department of Electronics and Communication Engineering, Alliance University, Bangalore, Karnataka, India
Poongundran Selvaprabhu
Department of Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology, Tamil Nadu, India
Vinoth Babu Kumaravelu
Department of Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology, Tamil Nadu, India
Md. Abdul Latif Sarker
Centre for ICT & Automotive Convergence, Kyungpook National University, Daegu 41566, Republic of Korea
Sunil Chinnadurai
Department of Electronics and Communication Engineering, School of Engineering and Science, SRM University-AP, Andhra Pradesh, 522502, India; Corresponding authors.
Dong Seog Han
School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Republic of Korea; Corresponding authors.
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.
