DocumentCode
2570403
Title
Joint algorithm of scheduling and network flow in cognitive radio wireless mesh networks
Author
Ju Bin Song ; Lee, Ki Hwan ; Han, Zhu
Author_Institution
Dept. of Electron. & Radio Eng., Kyung Hee Univ., Yongin, South Korea
fYear
2009
fDate
11-14 Oct. 2009
Firstpage
1887
Lastpage
1892
Abstract
We suggested a joint algorithm for opportunistic spectrum and time sharing in cognitive radio (CR) wireless mesh networks (WMNs) in this paper. The problem was formulated using linear programming and solved by the simplex-II method. The flow optimization problem was first developed for grid topology of CR WMNs. Results showed optimized flow of the CR WMNs with ideal interference free link scheduling. Second, a practical interference free link scheduling algorithm was suggested. Simulation results showed that the normalized cost of the optimized algorithm was close to 1 and offered a cross-layer optimized solution between scheduling and network flow. The throughput of the CR WMNs using the suggested algorithm was optimally enhanced.
Keywords
cognitive radio; frequency allocation; linear programming; scheduling; telecommunication network topology; telecommunication traffic; cognitive radio; cognitive radio wireless mesh networks; cross-layer optimized solution; grid topology; interference free link scheduling; linear programming; network flow optimization problem; opportunistic spectrum allocation; simplex-II method; time sharing; Chromium; Cognitive radio; Cost function; Interference; Linear programming; Network topology; Scheduling algorithm; Throughput; Time sharing computer systems; Wireless mesh networks; Cognitive radio; cognitive radio wireless mesh networks; cross-layer optimization; opportunistic spectrum and time sharing;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1062-922X
Print_ISBN
978-1-4244-2793-2
Electronic_ISBN
1062-922X
Type
conf
DOI
10.1109/ICSMC.2009.5346232
Filename
5346232
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