[en] The intelligent reconfigurable surface (IRS) is regarded as a highly promising technology for facilitating and enhancing the performance of future wireless communication networks. This is due to its capacity to effectively modify wireless channels in desired destinations with low-cost design and energy consumption. A significant amount of research has been dedicated to exploring the use of conventional IRS, where each phase response element is only connected to its own ground load with no connection to the other phase response elements. However, the simple design of conventional IRS limits its capacity to adjust passive beamforming. This study focuses on the implementation of beyond diagonal IRS (BD-IRS) in multi-carrier non-orthogonal multiple access (NOMA) vehicular communication, surpassing the use of diagonal phase shift matrices. Specifically, we propose a new optimization approach that aims to maximize the achievable spectral efficiency of a multi-carrier NOMA vehicular communication with BD-IRS assistance. This is achieved by optimizing the transmission power of RSU and the phase response of the BD-IRS. We utilize block coordinate descent and successive convex approximation methods to convert the original optimization problem into a series of subproblems. For the power allocation problem at RSU, we adopt Dinkelbach’s and first-order Tayler approximation while exploiting unitary constraint transformation for the phase response problem at BD-IRS and then use the CVX toolbox for the solution. The numerical findings clearly illustrate the advantages of the proposed optimization framework and implementing BD-IRS in multi-carrier NOMA vehicular communications networks in comparison to the conventional IRS architecture.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Ahmed, Manzoor; School of Computer and Information Science and Institute for AI Industrial Technology Research, Hubei Engineering University, Xiaogan City, China
KHAN, Wali Ullah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Alamgeer, Mohammad; Department of Information Systems, College of Science & Art at Mahayil, King Khalid University, Abha, Saudi Arabia
Alabdulkreem, Eatedal; Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
Ebad, Shouki A.; Center for Scientific Research and Entrepreneurship, Northern Border University, Arar, Saudi Arabia
Al-Sharafi, Ali M.; Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, Saudi Arabia
Dutta, Ashit Kumar; Department of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Diriyah, Saudi Arabia
Khurshaid, Tahir; Department of Electrical Engineering, Yeungnam University, Gyeongsan, South Korea
External co-authors :
yes
Language :
English
Title :
Joint optimization for 6G beyond diagonal IRS-assisted multi-carrier NOMA vehicle-to-infrastructure communication
This work was supported in part by the Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large Research Project under Grant RGP2/158/45; in part by the Researchers Supporting Project through Princess Nourah bint Abdulrahman University, Riyadh Saudi Arabia, under Grant PNURSP2025R114; in part by the Deanship of Scientific Research at Northern Border University, Arar, Saudi Arabia, under Grant NBU-FFR-2025-1564; in part by the Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, Saudi Arabia; in part by the Researchers Supporting Project through Almaarefa University, Riyadh, Saudi Arabia, under Grant MHIRSP2024005.
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