Performance Analysis of Rate-Splitting Multiple Access in Coordinated Direct and Relay Transmission

Next generation internet-of-things (IoT) demands massive connectivity, reliability, scalability, quality of service (QoS), and high spectral efficiency. In order to serve a large number of devices with varying channel conditions, non-orthogonal multiple access (NOMA) has emerged as a potential solution. However, a major drawback of NOMA is that it suffers from loss of degrees of freedom which results in insufficient gain. To combat this, rate-splitting multiple access (RSMA) has been proposed in the literature. In this work, we introduce RSMA in a coordinated direct and relay transmission (CDRT) with two clusters of users to improve spectrum efficiency and system performance. In the proposed system, a base station (BS) communicates directly with users in cluster-1, and through decode and forward (DF) relay with users in cluster-2. A passive intelligent reflecting surface (IRS) is synergistically combined with a DF relay called the hybrid relay network (HRN) to provide beneficial multipath diversity. We derive the analytical expressions for outage probability and ergodic capacity of the HRN system. The analytical expressions are validated through simulation results. Further, we compare our proposed scheme with the existing NOMA-CDRT scheme and provide insights based on the analysis.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-06-30
DOI
https://doi.org/10.1109/tvt.2025.3584593
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance Analysis of Rate-Splitting Multiple Access in Coordinated Direct and Relay Transmission

Seshan Srirangarajan, Vimal Bhatia, S. Kumari
IEEE Transactions on Vehicular Technology
Energy Harvesting in Wireless Networks
article

Performance Analysis of Rate-Splitting Multiple Access in Coordinated Direct and Relay Transmission

Seshan Srirangarajan, Vimal Bhatia, S. Kumari
article en

Abstract

Next generation internet-of-things (IoT) demands massive connectivity, reliability, scalability, quality of service (QoS), and high spectral efficiency. In order to serve a large number of devices with varying channel conditions, non-orthogonal multiple access (NOMA) has emerged as a potential solution. However, a major drawback of NOMA is that it suffers from loss of degrees of freedom which results in insufficient gain. To combat this, rate-splitting multiple access (RSMA) has been proposed in the literature. In this work, we introduce RSMA in a coordinated direct and relay transmission (CDRT) with two clusters of users to improve spectrum efficiency and system performance. In the proposed system, a base station (BS) communicates directly with users in cluster-1, and through decode and forward (DF) relay with users in cluster-2. A passive intelligent reflecting surface (IRS) is synergistically combined with a DF relay called the hybrid relay network (HRN) to provide beneficial multipath diversity. We derive the analytical expressions for outage probability and ergodic capacity of the HRN system. The analytical expressions are validated through simulation results. Further, we compare our proposed scheme with the existing NOMA-CDRT scheme and provide insights based on the analysis.

IEEE Transactions on Vehicular TechnologyVol. 74(12)
Indian Institute of Technology Indore (IN), Indian Institute of Technology Delhi (IN)
Openalex Percentile: Top 87%
Energy Harvesting in Wireless Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.