A Low Complexity ML-Assisted Multi-knapsack-based Approach for User Association and Resource Allocation in 5G HetNets

Agarwal, Bharat; Togou, Mohammed Amine; Ruffini, Marco; Muntean, Gabriel‐Miro

doi:10.1109/bmsb58369.2023.10211332

2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) 2023

DOI: 10.1109/bmsb58369.2023.10211332

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A Low Complexity ML-Assisted Multi-knapsack-based Approach for User Association and Resource Allocation in 5G HetNets

Bharat Agarwal

Mohammed Amine Togou

Marco Ruffini

et al.

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Cited by 1 publication

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Joint Power Allocation Algorithm for UAV-Borne Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surface-Assisted Non-Orthogonal Multiple Access System

Peng,

Tang,

Yang

et al. 2023

IEEE Access

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As a novel technology, simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) provides users with full spatial coverage communication by modulating reflected and refracted signals. This study proposes a novel UAV equipped with STAR-RIS-assisted non-orthogonal multiple access system that jointly optimized the cluster correlations with the power allocation coefficients and positions of STAR-RIS to maximize the user system sum rate. However, the application of this technique is limited by the complex nonconvex optimization problem, which was addressed by developing an alternating optimization iteration algorithm. The joint optimization problem related to cluster association and the power allocation coefficients and positions of STAR-RIS was solved by alternating iterations. The simulation results demonstrated that the proposed algorithm delivered a superior user system sum rate compared to single-power optimization, ultimately achieving near-optimal system performance. At the same time, we verified that the NOMA system equipped with STAR-RIS on UAV can achieve the best performance than the OMA system. Therefore, the proposed algorithm contributes to the optimization of STAR-RIS-assisted systems, which will benefit applications in wireless communications, IoT, and smart city infrastructure.

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Joint Power Allocation Algorithm for UAV-Borne Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surface-Assisted Non-Orthogonal Multiple Access System

Peng,

Tang,

Yang

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

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A Low Complexity ML-Assisted Multi-knapsack-based Approach for User Association and Resource Allocation in 5G HetNets

Cited by 1 publication

References 12 publications

Joint Power Allocation Algorithm for UAV-Borne Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surface-Assisted Non-Orthogonal Multiple Access System

Joint Power Allocation Algorithm for UAV-Borne Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surface-Assisted Non-Orthogonal Multiple Access System

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