Article Dans Une Revue IEEE Transactions on Wireless Communications Année : 2022

Wireless Coded Caching Can Overcome the Worst-User Bottleneck by Exploiting Finite File Sizes

Hui Zhao
Antonio Bazco-Nogueras
Petros Elia

Résumé

We address the worst-user bottleneck of wireless coded caching, which is known to severely diminish cache-aided multicasting gains due to the fundamental worst-channel limitation of multicasting. We consider the quasi-static Rayleigh fading Broadcast Channel, for which we first show that the effective coded caching gain of the standard XOR-based coded-caching scheme completely vanishes in the low signal-to-noise ratio (SNR) regime. Then, we reveal that this collapse is not intrinsic to coded caching. We do so by presenting a novel scheme that can fully recover the coded caching gains by capitalizing on one aspect that has remained unexploited to date: the shared side information brought about by the effectively unavoidable file-size constraint. As a consequence, the worst-user effect is dramatically ameliorated, as it is substituted by a much more subtle worst-group-of-users effect, where the suggested grouping is fixed, and it is decided before the channel or the demands are known. Furthermore, the theoretical gains are completely recovered as the number of users increases, and this is done without any user selection technique. We analyze the rate performance of the proposed scheme and derive approximations which prove to be very precise. Importantly, this novel approach can be translated to other coded caching schemes and scenarios, including decentralized scenarios.

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hal-05301391 , version 1 (07-10-2025)

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Hui Zhao, Antonio Bazco-Nogueras, Petros Elia. Wireless Coded Caching Can Overcome the Worst-User Bottleneck by Exploiting Finite File Sizes. IEEE Transactions on Wireless Communications, 2022, 21 (7), pp.5450-5466. ⟨10.1109/TWC.2022.3140895⟩. ⟨hal-05301391⟩

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