STAR-IRS Assisted Rate Splitting Multiple Access with Perfect and Imperfect CSI for 6G Communication

Authors

Keywords:

STAR-IRS, RSMA, outage probability, weighted sum rate, optimization, and channel estimation error

Abstract

Incorporating cutting-edge technology like rate splitting multiple access (RSMA) and intelligent reflecting surface (IRS) are essential in 6G communications to satisfy the constantly growing needs for more connection, better reliability, and faster data rates. This paper explores the concept of simultaneously transmitting and reflecting IRS (STAR-IRS) assisted RSMA in the presence of both perfect and imperfect channel state information (CSI). STAR-IRS leverages its dual capability to transmit and reflect signals simultaneously, enhancing spectral efficiency and expanding coverage. So far, in literature, STARIRS assisted RSMA system is analyzed in terms of outage probability with perfect CSI scenario. So, in this work, we carry out the performance analysis of STAR-IRS in terms of outage probability and sum rate. Firstly, we derive the analytical expression of the outage probability and sum rate. Secondly, we propose a automatic optimization (AO) algorithm for weighted sum rate (WSR) maximization. The performance analysis is carried out by varying power allocation factor to find its optimality. The derived outage probability and sum rate expressions are validated with Monte Carlo simulations. Also, it is found that on using WSR maximization, the sum rate is enhanced for STAR-IRS based RSMA system when compared with the conventional sum rate maximization.

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Author Biographies

Aswini Krishnan, NIT Puducherry

Aswini Krishnan (Graduate Student Member, IEEE) received her Bachelor in Engineering Degree in Electronics and Instrumentation Engineering and the Master of Engineering Degree in VLSI Design from Anna University, Chennai, India, in 2018 and 2020 respectively. Currently she is pursuing her Ph.D. in Wireless Communication in the Department of Electronics and Communication Engineering, National Institute of Technology (NIT), Puducherry, India. She is a recipient of MHRD Scholarship for her Ph.D Program in the Department of Electronics and Communication Engineering, National Institute of Technology (NIT), Puducherry, India. Her research interests include NOMA, RSMA, Wireless Communication, 5G and Beyond Applications.

Sundaresan Sabapathy, Amrita Vishwa Vidyapeetham Coimbatore, India

Sundaresan Sabapathy (Graduate Student Member, IEEE) received his Doctoral degree from National Institute of Technology Puducherry, Karaikal in Wireless Communications, M.Tech degree in Remote Sensing and Wireless Sensor Networks from Amrita Vishwa Vidyapeetham, Coimbatore and B.Tech (ECE) degree from Pondicherry University, Puducherry and. He has 5 years of teaching experience and have published several research articles and book chapters in various reputed journals and international conferences. He is currently working as Assistant Professor in School of AI, Amrita Vishwa Vidyapeetham, Coimbatore. His research interests are Software Defined Radio, URLLC, PHY Layer design, 5G and Beyond systems.

Surendar Maruthu, National Institute of Technology, Puducherry, India

Surendar Maruthu (Member, IEEE) received his Bachelor in Engineering Degree Electronics and Communication Engineering (2010) and Master of Engineering Degree in Wireless Technologies (2012) from Thiagarajar College of Engineering, Madurai, Tamilnadu, India. He obtained his Ph.D. degree in wireless communication from the National Institute of Technology, Tiruchirappalli (NITT), India in 2017. He is currently working as an Assistant Professor in the Department of Electronics and Communication Engineering, National Institute of Technology, Puducherry (NITPY), India. His research interests include massive MIMO, Physical layer, unmanned aerial vehicles and machine learning. He published his research papers in referred international journals and international conferences.

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Published

2024-12-16

How to Cite

Krishnan, A., Sabapathy, S. ., & Maruthu, S. . (2024). STAR-IRS Assisted Rate Splitting Multiple Access with Perfect and Imperfect CSI for 6G Communication. IEEE Latin America Transactions, 23(1), 17–24. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/9185

Issue

Vol. 23 No. 1 (2025): Ordinary Issue

Section

Computing