Decentralized coded caching is studied for a content server with N files, each of size F bits, serving K active users, each equipped with a cache of distinct capacity. It is assumed that the users' caches are filled in advance during the off-peak traffic period without the knowledge of the number of active users, their identities, or the particular demands. User demands are revealed during the peak traffic period, and are served simultaneously through an error-free shared link. A new decentralized coded caching scheme is proposed for this scenario, and it is shown to improve upon the state-of-the-art in terms of the required delivery rate over the shared link, when there are more users in the system than the number of files. Numerical results indicate that the improvement becomes more significant as the cache capacities of the users become more skewed.
Decentralized coded caching with distinct cache capacities / Mohammadi Amiri, M.; Yang, Q.; Gunduz, D.. - (2017), pp. 734-738. (Intervento presentato al convegno 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 tenutosi a Asilomar Hotel and Conference Grounds, usa nel 2016) [10.1109/ACSSC.2016.7869142].
Decentralized coded caching with distinct cache capacities
D. Gunduz
2017
Abstract
Decentralized coded caching is studied for a content server with N files, each of size F bits, serving K active users, each equipped with a cache of distinct capacity. It is assumed that the users' caches are filled in advance during the off-peak traffic period without the knowledge of the number of active users, their identities, or the particular demands. User demands are revealed during the peak traffic period, and are served simultaneously through an error-free shared link. A new decentralized coded caching scheme is proposed for this scenario, and it is shown to improve upon the state-of-the-art in terms of the required delivery rate over the shared link, when there are more users in the system than the number of files. Numerical results indicate that the improvement becomes more significant as the cache capacities of the users become more skewed.
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