TY - GEN
T1 - Individual Preference Probability Modeling for Video Content in Wireless Caching Networks
AU - Lee, Ming-Chun
AU - Molisch, Andreas F.
AU - Sastry, Nishanth
AU - Raman, Aravindh
PY - 2017/12/4
Y1 - 2017/12/4
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85046414313&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2017.8254963
DO - 10.1109/GLOCOM.2017.8254963
M3 - Conference contribution
AN - SCOPUS:85046414313
T3 - 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
BT - 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Global Communications Conference, GLOBECOM 2017
Y2 - 4 December 2017 through 8 December 2017
ER -