DocumentCode :
3080907
Title :
Fast Spectrum Sharing for Cognitive Radio Networks: A Joint Time-Spectrum Perspective
Author :
Zhou, Haibo ; Liu, Bo ; Gui, Lin ; Wang, Xinbing ; Li, Ying
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2011
fDate :
5-9 Dec. 2011
Firstpage :
1
Lastpage :
5
Abstract :
Time efficiency is a basic characteristic for spectrum management and sharing in cognitive radio networks (CRN). In this paper, we introduce an incremental metric time into dynamic spectrum management and sharing problem, which could make the spectrum resource management more reasonable. On the one hand, to motivate the idle spectrum holders to share the spectrum more actively and regulate the spectrum leasing markets better , a spectrum management rule (SMR) is introduced. Accordingly, a spectrum lease rule (SLR) is proposed from the perspective of factual application requirements of unlicensed users (UUs). One the other hand, we formulate the spectrum sharing process as a two-dimensional packing problem, in which UUs utilize the spectrum resource through forming cooperative groups (CG). Finally, a distributed fast spectrum sharing algorithm (DFSS) is proposed to realize the process of CG forming promptly. Simulation demonstrates that DFSS algorithm can adapt to the cognitive radio networks effectively, and the average spectrum utilization ratio can reach about 83.42%.
Keywords :
cognitive radio; radio networks; telecommunication network management; CRN; DFSS; SLR; SMR; UU; cognitive radio networks; distributed fast spectrum sharing algorithm; joint time-spectrum perspective; spectrum lease rule; spectrum resource management; unlicensed users; Algorithm design and analysis; Cognitive radio; Dynamic scheduling; IEEE Communications Society; Radio spectrum management; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
ISSN :
1930-529X
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2011.6134198
Filename :
6134198
Link To Document :
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