Individual Preference Probability Modeling for Video Content in Wireless Caching Networks

Ming Chun Lee, Andreas F. Molisch, Nishanth Sastry, Aravindh Raman

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

16 Scopus citations

Abstract

Caching of video files at the wireless edge, i.e., at the base stations or on user devices, is a key method for improving wireless video delivery. While global popularity distributions of video content have been investigated in the past, and used in a variety of caching algorithms, this paper investigates the statistical modeling of the individual user preferences. With individual preferences being represented by probabilities, we identify their critical features and parameters and propose a novel modeling framework as well as a parameterization of the framework based on an extensive real-world data set. Besides, an implementation recipe for generating practical individual preference probabilities is proposed. By comparing with the underlying real data, we show that the proposed models and generation approach can effectively characterize individual preferences of users for video content.

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., Sastry, N., & Raman, A. (2017). Individual Preference Probability Modeling for Video Content in Wireless Caching Networks. 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.2017.8254963