Individual Preference Aware Caching Policy Design for Energy-Efficient Wireless D2D Communications

Ming Chun Lee, Andreas F. Molisch

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

13 Scopus citations

Abstract

Video caching at the wireless edge is a promising approach to improve throughput and reliability of video delivery. While most existing literature considers homogeneous user preference modeling when designing caching policies, this paper investigates how to exploit statistical information on individual popularity preferences in the design of caching policies in base station assissted wireless device-to-device networks. Specifically, we formulate the caching policy design problem aiming to minimize average energy consumption and propose two approaches that solve the problem under different conditions: users can or cannot coordinatedly design their policies. By simulating systems using practical individual preference models, we show that the proposed designs are effective, and the performance gain brought by exploiting individual preferences can be clearly observed.

Original languageEnglish
Title of host publication2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Electronic)9781509050192
DOIs
StatePublished - 1 Jul 2017
Event2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, Singapore
Duration: 4 Dec 20178 Dec 2017

Publication series

Name2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
Volume2018-January

Conference

Conference2017 IEEE Global Communications Conference, GLOBECOM 2017
CountrySingapore
CitySingapore
Period4/12/178/12/17

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    Lee, M. C., & Molisch, A. F. (2017). Individual Preference Aware Caching Policy Design for Energy-Efficient Wireless D2D Communications. In 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings (pp. 1-7). (2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2017.8254837