Cloud-aided wireless networks with edge caching: Fundamental latency trade-offs in fog Radio Access Networks

Ravi Tandon, Osvaldo Simeone

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

78 Scopus citations

Abstract

Fog Radio Access Network (F-RAN) is an emerging wireless network architecture that leverages caching capabilities at the wireless edge nodes, as well as edge connectivity to the cloud via fronthaul links. This paper aims at providing a latency-centric analysis of the degrees of freedom of an F-RAN by accounting for the total content delivery delay across the fronthaul and wireless segments of the network. The main goal of the analysis is the identification of optimal caching, fronthaul and edge transmission policies. The study is based on the introduction of a novel performance metric, referred to as the Normalized Delivery Time (NDT), which measures the total delivery latency as compared to an ideal interference-free system. An information-theoretically optimal characterization of the trade-off between NDT, on the one hand, and fronthaul and caching resources, on the other, is derived for a class of F-RANs with two edge nodes and two users. Using these results, the interplay between caching and cloud connectivity is highlighted, as well as the impact of both caching and fronthaul resources on the delivery latency.

Original languageEnglish (US)
Title of host publicationProceedings - ISIT 2016; 2016 IEEE International Symposium on Information Theory
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2029-2033
Number of pages5
Volume2016-August
ISBN (Electronic)9781509018062
DOIs
StatePublished - Aug 10 2016
Event2016 IEEE International Symposium on Information Theory, ISIT 2016 - Barcelona, Spain
Duration: Jul 10 2016Jul 15 2016

Other

Other2016 IEEE International Symposium on Information Theory, ISIT 2016
CountrySpain
CityBarcelona
Period7/10/167/15/16

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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