Demand-aware cooperative content caching in 5G/6G networks with MEC-enabled edges
Today, billions of smart devices are interconnected via wireless networks, leading to large volumes of video contents circulating through the bandwidth-limited backhaul. This causes network performance to deteriorate. As a mitigation mechanism, caching of highly popular contents to network edges is...
| Autores: | , , , , |
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| Formato: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/374057 |
| Acesso em linha: | https://hdl.handle.net/2117/374057 https://dx.doi.org/10.1109/LNET.2022.3192173 |
| Access Level: | acceso abierto |
| Palavra-chave: | Wireless communications systems Dynamic programming Cache memory Caching Separable assignment problem MEC Optimization Cache hit ratio Comunicació sense fil, Sistemes de Programació dinàmica Memòria cau Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors |
| Resumo: | Today, billions of smart devices are interconnected via wireless networks, leading to large volumes of video contents circulating through the bandwidth-limited backhaul. This causes network performance to deteriorate. As a mitigation mechanism, caching of highly popular contents to network edges is deployed. We propose a cooperative and demand-aware caching strategy, which is modelled using the Separable Assignment Problem, to maximize the cache hit ratio. This problem is solved with a recursive enumeration method, where dynamic programming is used to fill each edge. The extensive application-level evaluations show that the proposed strategy outperforms existing caching policies. |
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