Joint Mobile IAB Node Positioning and Scheduler Selection in Locations With Substantial Obstacles
保存先:
| 出版年: | arXiv.org (Dec 4, 2024), p. n/a |
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| 第一著者: | |
| その他の著者: | , |
| 出版事項: |
Cornell University Library, arXiv.org
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| 主題: | |
| オンライン･アクセス: | Citation/Abstract Full text outside of ProQuest |
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| 抄録: | Integrated Access and Backhaul (IAB) in cellular networks combines access and backhaul within a wireless infrastructure reducing reliance on fibre-based backhaul. This enables faster and more cost-effective network expansion, especially in hard-to-reach areas. Positioning a mobile IAB node (MIAB) in a seaport environment, in order to ensure ondemand, resilient wireless connectivity, presents unique challenges due to the high density of User Equipments (UEs) and potential shadowing effects caused by obstacles. This paper addresses the problem of positioning MIABs within areas containing UEs, IAB donors (CFs), and obstacles. Our approach considers user associations and different types of scheduling, ensuring MIABs and CFs meet the capacity requirements of a special team of served UEs, while not exceeding backhaul capacity. Using Genetic Algorithm (GA) solver, we achieve capacity improvement gains, by up to 200% for the 90th percentile. The proposed solution improves network performance, particularly during emergency capacity demands. |
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| ISSN: | 2331-8422 |
| ソース: | Engineering Database |