Adaptive Coded Caching for Fair Delivery over Fading Channels

Apostolos Destounis, Asma Ghorbel, Georgios S. Paschos, Georgios S. Paschos, Mari Kobayashi

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


The performance of existing coded caching schemes is sensitive to the worst channel quality, a problem which is exacerbated when communicating over fading channels. In this paper, we address this limitation in the following manner: in short-term, we allow transmissions to subsets of users with good channel quality, avoiding users with fades, while in long-term we ensure fairness among users. Our online scheme combines (i) the classical decentralized coded caching scheme with (ii) joint scheduling and power control for the fading broadcast channel, as well as (iii) congestion control for ensuring the optimal long-term average performance. We prove that our online delivery scheme maximizes the alpha-fair utility among all schemes restricted to decentralized placement. By tuning the value of alpha, the proposed scheme can achieve different operating points on the average delivery rate region and tune performance according to an operator's choice. We demonstrate via simulations that our scheme outperforms two baseline schemes: (a) standard coded caching with multicast transmission, limited by the worst channel user yet exploiting the global caching gain; (b) opportunistic scheduling with unicast transmissions exploiting the fading diversity but limited to local caching gain.

Original languageEnglish
Article number9103130
Pages (from-to)4530-4546
Number of pages17
JournalIEEE Transactions on Information Theory
Issue number7
StatePublished - Jul 2020
Externally publishedYes


  • Broadcast channel
  • Lyapunov optimization
  • coded caching
  • fairness


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