Proactive Caching at the Edge Leveraging Influential User Detection in Cellular D2D Networks

Anwar Said, Syed Waqas Haider Shah, Hasan Farooq, Adnan Noor Mian, Ali Imran and Jon Crowcroft
Additional contact information
Anwar Said: Department of Computer Science and Electrical Engineering, Information Technology University (ITU), Lahore 54000, Pakistan
Syed Waqas Haider Shah: Department of Computer Science and Electrical Engineering, Information Technology University (ITU), Lahore 54000, Pakistan
Hasan Farooq: BSON Lab, ECE, University of Oklahoma, Norman, OK 73019, USA
Adnan Noor Mian: Department of Computer Science and Electrical Engineering, Information Technology University (ITU), Lahore 54000, Pakistan
Ali Imran: BSON Lab, ECE, University of Oklahoma, Norman, OK 73019, USA
Jon Crowcroft: Computer Lab, University of Cambridge, Cambridge CB2 1TN, UK

Future Internet, 2018, vol. 10, issue 10, 1-17

Abstract: Caching close to users in a radio access network (RAN) has been identified as a promising method to reduce a backhaul traffic load and minimize latency in 5G and beyond. In this paper, we investigate a novel community detection inspired by a proactive caching scheme for device-to-device (D2D) enabled networks. The proposed scheme builds on the idea that content generated/accessed by influential users is more probable to become popular and thus can be exploited for pro-caching. We use a Clustering Coefficient based Genetic Algorithm (CC-GA) for community detection to discover a group of cellular users present in close vicinity. We then use an Eigenvector Centrality measure to identify the influential users with respect to the community structure, and the content associated to it is then used for pro-active caching using D2D communications. The numerical results show that, compared to reactive caching, where historically popular content is cached, depending on cache size, load and number of requests, up to 30% more users can be satisfied using a proposed scheme while achieving significant reduction in backhaul traffic load.

Keywords: D2D communication; proactive caching; community detection; centrality measure; influential users; social network (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/10/10/93/pdf (application/pdf)
https://www.mdpi.com/1999-5903/10/10/93/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:10:y:2018:i:10:p:93-:d:171321

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().