Sum-Rate Maximization of Cooperative Rate-Splitting for Massive IoT

Sanguk Park; Seongah Jeong; Joonhyuk Kang

doi:10.1109/LWC.2025.3610131

Sum-Rate Maximization of Cooperative Rate-Splitting for Massive IoT

Sanguk Park
, Seongah Jeong
, Joonhyuk Kang

School of Advanced Fusion Studies

Korea Advanced Institute of Science and Technology

Research output: Contribution to journal › Article › peer-review

Abstract

This letter proposes a downlink cooperative rate splitting (CRS) system for massive Internet of Things (IoT) to mitigate inter-user interference of high-frequency channels and improve sum-rate performance. Specifically, inter-user interference is mitigated by dynamic user grouping, which reshapes interference patterns and enhances cooperative link data rates. To achieve sum-rate maximization, we introduce a CRS framework that leverages cross-entropy optimization (CEO) for user grouping and weighted minimum mean square error (WMMSE)-based beamforming to effectively mitigate interference. Simulation results demonstrate that the proposed approach outperforms conventional user grouping and multiple access schemes in maximizing the sum-rate in massive IoT.

Original language	English
Pages (from-to)	3977-3981
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	14
Issue number	12
DOIs	https://doi.org/10.1109/LWC.2025.3610131
State	Published - 2025

Keywords

Massive Internet of Things (IoT)
beamforming
cooperative rate splitting (CRS)
user grouping

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10.1109/LWC.2025.3610131

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title = "Sum-Rate Maximization of Cooperative Rate-Splitting for Massive IoT",

abstract = "This letter proposes a downlink cooperative rate splitting (CRS) system for massive Internet of Things (IoT) to mitigate inter-user interference of high-frequency channels and improve sum-rate performance. Specifically, inter-user interference is mitigated by dynamic user grouping, which reshapes interference patterns and enhances cooperative link data rates. To achieve sum-rate maximization, we introduce a CRS framework that leverages cross-entropy optimization (CEO) for user grouping and weighted minimum mean square error (WMMSE)-based beamforming to effectively mitigate interference. Simulation results demonstrate that the proposed approach outperforms conventional user grouping and multiple access schemes in maximizing the sum-rate in massive IoT.",

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author = "Sanguk Park and Seongah Jeong and Joonhyuk Kang",

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AU - Jeong, Seongah

AU - Kang, Joonhyuk

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Y1 - 2025

N2 - This letter proposes a downlink cooperative rate splitting (CRS) system for massive Internet of Things (IoT) to mitigate inter-user interference of high-frequency channels and improve sum-rate performance. Specifically, inter-user interference is mitigated by dynamic user grouping, which reshapes interference patterns and enhances cooperative link data rates. To achieve sum-rate maximization, we introduce a CRS framework that leverages cross-entropy optimization (CEO) for user grouping and weighted minimum mean square error (WMMSE)-based beamforming to effectively mitigate interference. Simulation results demonstrate that the proposed approach outperforms conventional user grouping and multiple access schemes in maximizing the sum-rate in massive IoT.

AB - This letter proposes a downlink cooperative rate splitting (CRS) system for massive Internet of Things (IoT) to mitigate inter-user interference of high-frequency channels and improve sum-rate performance. Specifically, inter-user interference is mitigated by dynamic user grouping, which reshapes interference patterns and enhances cooperative link data rates. To achieve sum-rate maximization, we introduce a CRS framework that leverages cross-entropy optimization (CEO) for user grouping and weighted minimum mean square error (WMMSE)-based beamforming to effectively mitigate interference. Simulation results demonstrate that the proposed approach outperforms conventional user grouping and multiple access schemes in maximizing the sum-rate in massive IoT.

KW - Massive Internet of Things (IoT)

KW - beamforming

KW - cooperative rate splitting (CRS)

KW - user grouping

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SP - 3977

EP - 3981

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

IS - 12

ER -

Sum-Rate Maximization of Cooperative Rate-Splitting for Massive IoT

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