Fundamental limits on latency in small-cell caching systems: An information-theoretic analysis

Seyyed Mohammadreza Azimi, Osvaldo Simeone, Ravi Tandon

Research output: Contribution to journalConference articlepeer-review

13 Scopus citations


Caching of popular multimedia content at small-cell base stations (BSs) is a promising solution to reduce the traffic load of macro-BSs without relying on a high-speed backhaul architecture. While most prior work analyzed the effect of smallcell caching, or femto-caching, under the assumption of negligible interference between macro-BS and small-cell BS, this paper contributes to a more recent line of work in which the benefits of caching are reconsidered in the presence of interference on the downlink channel. In particular, a binary fading one-sided interference channel is considered in which the small-cell BS, whose transmission is interfered by the macro-BS, has a limitedcapacity cache. An information-theoretic metric that captures the delivery latency is defined and fully characterized through information-theoretic achievability and converse arguments as a function of the cache capacity, as well as of the capacity of the backhaul link connecting cloud and small-cell BS.

Original languageEnglish (US)
Article number7841853
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
StatePublished - 2016
Event59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States
Duration: Dec 4 2016Dec 8 2016


  • Cloud RAN
  • Edge caching
  • Information theory
  • Interference channel
  • Latency

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing


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