Information-Theoretic Analysis of D2D-Aided Pipelined Content Delivery in Fog-RAN

Roy Karasik, Osvaldo Simeoney, Shlomo Shamai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In a Fog-Radio Access Network (F-RAN), edge caching and fronthaul connectivity to a cloud processor are utilized for the purpose of content delivery. Additional Deviceto- Device (D2D) communication capabilities can support the operation of an F-RAN by alleviating fronthaul and cloud processing load, and reducing the delivery time. In this work, basic limits on the normalized delivery time (NDT) metric, which captures the high signal-to-noise ratio worst-case latency for delivering any requested content to the users, are derived. Assuming proactive offline caching, out-of-band D2D communication, and an F-RAN with two edge nodes and two users, an information-theoretically optimal caching and delivery strategy is presented. Unlike prior work, the NDT performance is studied under pipelined transmission, whereby the edge nodes transmit on the wireless channel while simultaneously receiving messages over the fronthaul links, and the users transmit messages over the D2D links while at the same time receiving on the wireless channel. Insights are provided on the regimes in which D2D communication is beneficial, and the maximum improvement to the latency is characterized.

Original languageEnglish
Title of host publication2018 15th International Symposium on Wireless Communication Systems, ISWCS 2018
PublisherVDE Verlag GmbH
ISBN (Electronic)9781538650059
DOIs
StatePublished - 12 Oct 2018
Event15th International Symposium on Wireless Communication Systems, ISWCS 2018 - Lisbon, Portugal
Duration: 28 Aug 201831 Aug 2018

Publication series

NameProceedings of the International Symposium on Wireless Communication Systems
Volume2018-August

Conference

Conference15th International Symposium on Wireless Communication Systems, ISWCS 2018
Country/TerritoryPortugal
CityLisbon
Period28/08/1831/08/18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication

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