Best Paper Award
We provide a flow-based coded caching framework for information centric networks. We jointly optimize delivery rates, cross coding, and cache contents allocation as a function of demand and the network’s topology. Our model accounts for storage and transmission costs, demand asymmetry, and arbitrary multi-hop topologies, and relies on an ordered flow-based decoding schedule for the transmissions created by pairwise coded
flows. Through extensive experiments over multiple topologies, we observe that our coded caching scheme reduces transmission costs over competitors by several orders of magnitude.
Type:
Conférence
City:
Singapore
Date:
2023-08-24
Department:
Systèmes de Communication
Eurecom Ref:
7367
Copyright:
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