Title :
Resource allocation for video streaming in wireless environment
Author :
Valaee, Shahrokh ; Gregoire, Jean-Charles
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Abstract :
This paper focuses on the development of a new resource allocation scheme for video streaming in wireless networks. The technique utilizes the ε-weak burstiness curve which has been defined as the (1 - ε)-percentile of the maximum burstiness curve. We show that the ε-weak burstiness curve is a convex non-increasing function of the service rate. We also devise a "water-filling" algorithm to obtain the empirical ε-weak burstiness curve. The technique has been applied to MPEG-4 encoded video traces. The numerical studies show that if the ε-weak burstiness curve is used for resource provisioning, a considerable percentage of bandwidth will be saved.
Keywords :
data compression; queueing theory; radio networks; telecommunication traffic; video coding; visual communication; ε-weak burstiness curve; MPEG-4 encoded video traces; bandwidth; convex nonincreasing function; maximum burstiness curve; network performance; queue size; resource allocation; resource provisioning; service rate; video streaming; water-filling algorithm; wireless environment; wireless networks; Bandwidth; Intelligent networks; Internet; MPEG 4 Standard; Resource management; Stochastic processes; Streaming media; Telecommunication traffic; Traffic control; Wireless networks;
Conference_Titel :
Wireless Personal Multimedia Communications, 2002. The 5th International Symposium on
Print_ISBN :
0-7803-7442-8
DOI :
10.1109/WPMC.2002.1088349