Extreme Value Theory-enhanced Radio Maps for Handovers in Ultra-reliable Communications
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866908561642094592 |
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| author | Pérez, Dian Echevarría López, Onel L. Alcaraz Alves, Hirley |
| author_facet | Pérez, Dian Echevarría López, Onel L. Alcaraz Alves, Hirley |
| contents | Efficient handover (HO) strategies are essential for maintaining the stringent performance requirements of ultra-reliable communication (URC) systems. This work introduces a novel HO framework designed from a physical-layer perspective, where the decision-making process focuses on determining the optimal time and location for performing HOs. Leveraging extreme value theory (EVT) and statistical radio maps, the proposed method predicts signal behaviour and enables efficient resource allocation. The framework ensures seamless HOs and improved system performance by facilitating effective resource transitions and coordination across spatial locations while incorporating mechanisms to mitigate the ping-pong effect. Comparative evaluations demonstrate that this strategy provides superior service availability and energy efficiency than traditional HO mechanisms, highlighting its effectiveness in URC environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_22547 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Extreme Value Theory-enhanced Radio Maps for Handovers in Ultra-reliable Communications Pérez, Dian Echevarría López, Onel L. Alcaraz Alves, Hirley Networking and Internet Architecture Efficient handover (HO) strategies are essential for maintaining the stringent performance requirements of ultra-reliable communication (URC) systems. This work introduces a novel HO framework designed from a physical-layer perspective, where the decision-making process focuses on determining the optimal time and location for performing HOs. Leveraging extreme value theory (EVT) and statistical radio maps, the proposed method predicts signal behaviour and enables efficient resource allocation. The framework ensures seamless HOs and improved system performance by facilitating effective resource transitions and coordination across spatial locations while incorporating mechanisms to mitigate the ping-pong effect. Comparative evaluations demonstrate that this strategy provides superior service availability and energy efficiency than traditional HO mechanisms, highlighting its effectiveness in URC environments. |
| title | Extreme Value Theory-enhanced Radio Maps for Handovers in Ultra-reliable Communications |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2509.22547 |