DocumentCode
2717234
Title
Energy optimization in mobile TV broadcast networks
Author
Hefeeda, Mohamed ; Hsu, Cheng-Hsin
Author_Institution
Sch. of Comput. Sci., Simon Fraser Univ., Surrey, BC
fYear
2008
fDate
16-18 Dec. 2008
Firstpage
430
Lastpage
434
Abstract
We consider energy optimization in mobile TV networks in which a base station broadcasts multiple TV channels to mobile receivers over a common wireless medium. In these systems, the base station broadcasts TV channels in bursts with bit rates much higher than the encoding rates of the video streams. Thus, mobile devices can receive a burst of traffic and then turn off their radio frequency circuits till the next burst in order to save energy. To achieve this energy saving, the base station must carefully construct the burst schedule for all TV channels. In this paper, we formulate the problem of determining the optimal burst schedules for broadcasting multiple TV channels. We show that this problem is NP-complete for channels with arbitrary bit rates. We then propose a practical simplification of the general problem, which allows TV channels to have different bit rates, but at power of two increments. Using this simplification, we propose and analyze an optimal burst scheduling algorithm. We implement our algorithm in a mobile TV testbed and we present empirical results to demonstrate its efficiency and optimality.
Keywords
broadcast channels; mobile television; optimisation; scheduling; television broadcasting; NP-complete problem; base station; common wireless medium; energy optimization; mobile TV broadcast networks; mobile receivers; multiple TV channels; optimal burst scheduling algorithm; radio frequency circuits; video streams; Base stations; Bit rate; Mobile TV; Multimedia communication; Radio broadcasting; Radio frequency; Streaming media; TV broadcasting; TV receivers; Telecommunication traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Information Technology, 2008. IIT 2008. International Conference on
Conference_Location
Al Ain
Print_ISBN
978-1-4244-3396-4
Electronic_ISBN
978-1-4244-3397-1
Type
conf
DOI
10.1109/INNOVATIONS.2008.4781676
Filename
4781676
Link To Document