Modeling and Design of RIS-Assisted Multi-Cell Multi-Band Networks With RSMA

Reconfigurable intelligent surface (RIS) has been identified as a promising technology for future wireless communication systems due to its ability to manipulate the propagation environment intelligently. RIS is a frequency-selective device, thus it can only effectively manipulate the propagation of signals within a specific frequency band. This frequency-selective characteristic can make deploying RIS in wireless cellular networks more challenging, as adjacent base stations (BSs) operate on different frequency bands. In addition, rate-splitting multiple access (RSMA) scheme has been shown to enhance the performance of RIS-aided multi-user communication systems. Accordingly, this work considers a more practical reflection model for RIS-aided RSMA communication systems, which accounts for the responses of signals across different frequency bands. To that end, new analytical expressions for the ergodic sum-rate are derived using the moment generating function (MGF) and Jensen’s inequality. Based on these analytical sum-rate expressions, novel practical RIS reflection designs and power allocation strategies for the RSMA scheme are proposed and investigated to maximize the achievable sum-rate in RIS-assisted multi-cell, multi-band cellular networks. Simple sub-optimal designs are also introduced and discussed. The results validate the significant gains of our proposed reflection design algorithms with RSMA over conventional schemes in terms of achievable sum-rate. Additionally, the power allocation strategy for the RSMA scheme is shown to offer superior performance compared to conventional precoding schemes that do not rely on RSMA.

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Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2025-03-11
DOI
https://doi.org/10.1109/twc.2025.3547828
Citations
2
Primary Topic
graph theory and CDMA systems
Type
article
Field-Weighted Citation Impact
1.46
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article

Modeling and Design of RIS-Assisted Multi-Cell Multi-Band Networks With RSMA

Kai‐Kit Wong, Chan‐Byoung Chae, Abdelhamid Salem, Yangyang Zhang
2 citations
IEEE Transactions on Wireless Communications
graph theory and CDMA systems
1.46
article

Modeling and Design of RIS-Assisted Multi-Cell Multi-Band Networks With RSMA

Kai‐Kit Wong, Chan‐Byoung Chae, Abdelhamid Salem, Yangyang Zhang
article en
2 citations

Abstract

Reconfigurable intelligent surface (RIS) has been identified as a promising technology for future wireless communication systems due to its ability to manipulate the propagation environment intelligently. RIS is a frequency-selective device, thus it can only effectively manipulate the propagation of signals within a specific frequency band. This frequency-selective characteristic can make deploying RIS in wireless cellular networks more challenging, as adjacent base stations (BSs) operate on different frequency bands. In addition, rate-splitting multiple access (RSMA) scheme has been shown to enhance the performance of RIS-aided multi-user communication systems. Accordingly, this work considers a more practical reflection model for RIS-aided RSMA communication systems, which accounts for the responses of signals across different frequency bands. To that end, new analytical expressions for the ergodic sum-rate are derived using the moment generating function (MGF) and Jensen’s inequality. Based on these analytical sum-rate expressions, novel practical RIS reflection designs and power allocation strategies for the RSMA scheme are proposed and investigated to maximize the achievable sum-rate in RIS-assisted multi-cell, multi-band cellular networks. Simple sub-optimal designs are also introduced and discussed. The results validate the significant gains of our proposed reflection design algorithms with RSMA over conventional schemes in terms of achievable sum-rate. Additionally, the power allocation strategy for the RSMA scheme is shown to offer superior performance compared to conventional precoding schemes that do not rely on RSMA.

IEEE Transactions on Wireless CommunicationsVol. 24(7)
Yonsei University (KR), Kuang-Chi (China) (CN), University College London (GB)
Openalex Percentile: Top 19%
graph theory and CDMA systems
1.46
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