Content-aware user clustering and caching in wireless small cell networks

Mohammed S. Elbamby, Mehdi Bennis, Walid Saad, Matti Latva-Aho

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

65 Scopus citations

Abstract

In this paper, the problem of content-aware user clustering and content caching in wireless small cell networks is studied. In particular, a service delay minimization problem is formulated, aiming at optimally caching contents at the small cell base stations (SCBSs). To solve the optimization problem, we decouple it into two interrelated subproblems. First, a clustering algorithm is proposed grouping users with similar content popularity to associate similar users to the same SCBS, when possible. Second, a reinforcement learning algorithm is proposed to enable each SCBS to learn the popularity distribution of contents requested by its group of users and optimize its caching strategy accordingly. Simulation results show that by correlating the different popularity patterns of different users, the proposed scheme is able to minimize the service delay by %42 and 27%, while achieving a higher offloading gain of up to 280% and 90%, respectively, compared to random caching and unclustered learning schemes.

Original languageEnglish (US)
Title of host publication2014 11th International Symposium on Wireless Communications Systems, ISWCS 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages945-949
Number of pages5
ISBN (Electronic)9781479958634
DOIs
StatePublished - Oct 21 2014
Event2014 11th International Symposium on Wireless Communications Systems, ISWCS 2014 - Barcelona, Spain
Duration: Aug 26 2014Aug 29 2014

Publication series

Name2014 11th International Symposium on Wireless Communications Systems, ISWCS 2014 - Proceedings

Other

Other2014 11th International Symposium on Wireless Communications Systems, ISWCS 2014
CountrySpain
CityBarcelona
Period8/26/148/29/14

    Fingerprint

Keywords

  • caching
  • clustering
  • offloading
  • reinforcement learning
  • small cell networks

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

Cite this

Elbamby, M. S., Bennis, M., Saad, W., & Latva-Aho, M. (2014). Content-aware user clustering and caching in wireless small cell networks. In 2014 11th International Symposium on Wireless Communications Systems, ISWCS 2014 - Proceedings (pp. 945-949). [6933489] (2014 11th International Symposium on Wireless Communications Systems, ISWCS 2014 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISWCS.2014.6933489