By Topic

Reducing Channel Zapping Time in IPTV Based on User's Channel Selection Behaviors

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chae Young Lee ; Department of Industrial Engineering, KAIST, Kusung Dong, Taejon, Korea ; Chang Ki Hong ; Kang Yong Lee

Channel zapping time is a crucial issue in Internet Protocol Television (IPTV) Quality of Experience (QoE) performance. One way to reduce channel zapping time is a predictive tuning method, which reduces channel zapping time by prejoining channels that are likely to be selected next, in addition to the currently watched channel. This paper presents an improved predictive tuning method that satisfies required channel zapping time with minimized bandwidth usage. Unlike existing methods, the proposed method determines the most efficient number of prejoining channels in a surfing period and in a viewing period differently by estimating expected channel zapping time and expected bandwidth usage with a Semi-Markov Process. We also propose a prejoining channel selection method according to the combined button and channel preference. Mathematical model and simulation show that the proposed method achieves the required channel zapping time with less bandwidth consumption and a more stable network than previous works.

Published in:

IEEE Transactions on Broadcasting  (Volume:56 ,  Issue: 3 )