Joint Beam Scheduling and Resource Allocation for Flexible RSMA-Aided Near-Field Communications

Supporting immense throughput and ubiquitous connectivity holds paramount importance for future wireless networks. To this end, this letter focuses on how the spatial beams configured for legacy near-field (NF) users can be leveraged to serve extra NF or far-field users while ensuring the rate requirements of legacy NF users. In particular, a flexible rate splitting multiple access (RSMA) scheme is proposed to efficiently manage interference, which carefully selects a subset of legacy users to decode the common stream. Beam scheduling, power allocation, common rate allocation, and user selection are jointly optimized to maximize the sum rate of additional users. To solve the formulated discrete non-convex problem, it is split into three subproblems. The accelerated bisection searching, quadratic transform, and simulated annealing approaches are developed to attack them. Simulation results reveal that the proposed transmit scheme and algorithm achieve significant gains over three competing benchmarks.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-02-01
DOI
https://doi.org/10.1109/lwc.2024.3517151
Citations
9
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
6.57

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article

Joint Beam Scheduling and Resource Allocation for Flexible RSMA-Aided Near-Field Communications

Yijie Mao, Chintha Tellambura, Cong Zhou, Jiasi Zhou
9 citations
IEEE Wireless Communications Letters
Advanced MIMO Systems Optimization
6.57
article

Joint Beam Scheduling and Resource Allocation for Flexible RSMA-Aided Near-Field Communications

Yijie Mao, Chintha Tellambura, Cong Zhou, Jiasi Zhou
article en
9 citations

Abstract

Supporting immense throughput and ubiquitous connectivity holds paramount importance for future wireless networks. To this end, this letter focuses on how the spatial beams configured for legacy near-field (NF) users can be leveraged to serve extra NF or far-field users while ensuring the rate requirements of legacy NF users. In particular, a flexible rate splitting multiple access (RSMA) scheme is proposed to efficiently manage interference, which carefully selects a subset of legacy users to decode the common stream. Beam scheduling, power allocation, common rate allocation, and user selection are jointly optimized to maximize the sum rate of additional users. To solve the formulated discrete non-convex problem, it is split into three subproblems. The accelerated bisection searching, quadratic transform, and simulated annealing approaches are developed to attack them. Simulation results reveal that the proposed transmit scheme and algorithm achieve significant gains over three competing benchmarks.

IEEE Wireless Communications LettersVol. 14(2)
University of Alberta (CA), Xuzhou Medical College (CN), Harbin Institute of Technology (CN), ShanghaiTech University (CN)
Intermountain Research and Medical Foundation, National Key Research and Development Program of China
Openalex Percentile: Top 3%
Advanced MIMO Systems Optimization
6.57
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Joint Beam Scheduling and Resource Allocation for Flexible RSMA-Aided Near-Field Communications — Yijie Mao, Chintha Tellambura, et al. · IEEE Wireless Communications Letters (2025) | TGRS Research Map | TGRS