DocumentCode :
2396706
Title :
Resource Allocation for Medium Grain Scalable Videos over Femtocell Cognitive Radio Networks
Author :
Hu, Donglin ; Mao, Shiwen
Author_Institution :
Dept. of Electr. & Comput. Eng., Auburn Univ., Auburn, AL, USA
fYear :
2011
fDate :
20-24 June 2011
Firstpage :
258
Lastpage :
267
Abstract :
Femtocells are shown highly effective on improving network coverage and capacity by bringing base stations closer to mobile users. In this paper, we investigate the problem of streaming scalable videos in femtocell cognitive radio (CR) networks. This is a challenging problem due to the stringent QoS requirements of real-time videos and the new dimensions of network dynamics and uncertainties in CR networks. We develop a framework that captures the key design issues and trade-offs with a stochastic programming problem formulation. In the case of a single FBS, we develop an optimum-achieving distributed algorithm, which is shown also optimal for the case of multiple non-interfering FBS´s. In the case of interfering FBS´s, we develop a greedy algorithm that can compute near-optimal solutions, and prove a closed-form lower bound for its performance. The proposed algorithms are evaluated with simulations, and are shown to outperform two alternative schemes with considerable margins.
Keywords :
cognitive radio; distributed algorithms; femtocellular radio; quality of service; stochastic programming; video streaming; FBS interference; QoS requirements; base stations; femtocell CR networks; femtocell cognitive radio networks; greedy algorithm; medium-grain scalable videos; mobile users; near-optimal solutions; network coverage improvement; optimum-achieving distributed algorithm; quality of service; real-time videos; resource allocation; stochastic programming problem formulation; streaming scalable videos; Base stations; Interference; PSNR; Programming; Sensors; Videos; Wireless communication; Cognitive radios; Medium Grain Scalable; cross-layer optimization; dynamic spectrum access; femtocell networks; stochastic programming; video streaming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems (ICDCS), 2011 31st International Conference on
Conference_Location :
Minneapolis, MN
ISSN :
1063-6927
Print_ISBN :
978-1-61284-384-1
Electronic_ISBN :
1063-6927
Type :
conf
DOI :
10.1109/ICDCS.2011.18
Filename :
5961682
Link To Document :
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