Cloud RAN and edge caching: Fundamental performance trade-offs

Avik Sengupta, Ravi Tandon, Osvaldo Simeone

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

A wireless network architecture is studied in which edge nodes (ENs), such as base stations, are connected to a cloud processor by dedicated fronthaul links, while also being endowed with caches, in which popular content, such as multimedia files, can be proactively stored. Cloud processing enables the centralized implementation of cooperative transmission by the ENs, albeit at the cost of an increased latency due to fronthaul transfer. In contrast, edge caching allows for the low-latency delivery of the cached files, but with generally limited cooperation among the ENs. The interplay between cloud processing and edge caching is studied from an information-theoretic viewpoint by investigating the fundamental limits of a metric, termed normalized delivery time (NDT), which captures the worst-case latency for delivering any requested content to the users. Lower and upper bounds on the NDT are derived that yield insights into the trade-off between cache storage capacity, fronthaul capacity and delivery latency.

Original languageEnglish (US)
Title of host publicationSPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509017492
DOIs
StatePublished - Aug 9 2016
Event17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016 - Edinburgh, United Kingdom
Duration: Jul 3 2016Jul 6 2016

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2016-August

Other

Other17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016
Country/TerritoryUnited Kingdom
CityEdinburgh
Period7/3/167/6/16

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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