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| Main Authors: | , , |
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| Format: | Preprint |
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2025
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| Online Access: | https://arxiv.org/abs/2505.04829 |
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| _version_ | 1866914058597302272 |
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| author | Sarker, Manobendu Hassan, Md. Zoheb Kaddoum, Georges |
| author_facet | Sarker, Manobendu Hassan, Md. Zoheb Kaddoum, Georges |
| contents | In this paper, we investigate user equipment (UE)-radio access technology (RAT) association and bandwidth assignment to maximize sum-rates in a multi-RAT network. To this end, we formulate an optimization problem that jointly addresses UE association and bandwidth allocation, adhering to practical constraints. Because of the NP-hard nature of this problem, finding a globally optimal solution is computationally infeasible. To address this challenge, we propose a centralized and computationally efficient heuristic algorithm that aims to maximize sum-rates while enhancing quality of service (QoS). Yet, the proposed approach requires global channel state information (CSI) for near-optimal performance, which incurs substantial overhead and data collection costs in large-scale multi-RAT networks. To alleviate this burden, we use a digital twin (DT) of the multi-RAT network, leveraging its context-awareness to acquire global CSI with reduced overhead. Our numerical results reveal that our approach improves sum-rates by up to 43% over baseline method, with less than a 5% deviation from the theoretical optimal solution, while achieving up to a 43% improvement in QoS. Further analysis reveals that our method not only surpasses the optimal solution in terms of QoS enhancement, but also ensures significant computational efficiency. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_04829 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Joint User Association and Bandwidth Assignment for Digital Twin-Assisted Multi-RAT Networks Sarker, Manobendu Hassan, Md. Zoheb Kaddoum, Georges Systems and Control In this paper, we investigate user equipment (UE)-radio access technology (RAT) association and bandwidth assignment to maximize sum-rates in a multi-RAT network. To this end, we formulate an optimization problem that jointly addresses UE association and bandwidth allocation, adhering to practical constraints. Because of the NP-hard nature of this problem, finding a globally optimal solution is computationally infeasible. To address this challenge, we propose a centralized and computationally efficient heuristic algorithm that aims to maximize sum-rates while enhancing quality of service (QoS). Yet, the proposed approach requires global channel state information (CSI) for near-optimal performance, which incurs substantial overhead and data collection costs in large-scale multi-RAT networks. To alleviate this burden, we use a digital twin (DT) of the multi-RAT network, leveraging its context-awareness to acquire global CSI with reduced overhead. Our numerical results reveal that our approach improves sum-rates by up to 43% over baseline method, with less than a 5% deviation from the theoretical optimal solution, while achieving up to a 43% improvement in QoS. Further analysis reveals that our method not only surpasses the optimal solution in terms of QoS enhancement, but also ensures significant computational efficiency. |
| title | Joint User Association and Bandwidth Assignment for Digital Twin-Assisted Multi-RAT Networks |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2505.04829 |