DocumentCode
1648549
Title
Robust channel assignment for link-level resource provision in multi-radio multi-channel wireless networks
Author
Hua, Cunqing ; Wei, Song ; Zheng, Rong
Author_Institution
Dept. of Comput. Sci., Univ. of Houston, Houston, TX
fYear
2008
Firstpage
157
Lastpage
166
Abstract
In this paper, we investigate the problem of link-level resource provision in multi-radio multi-channel (MR-MC) wireless networks. To quantify robustness of resource provision schemes, we propose the novel concept of interference margin. Using the notion of interference margin, a robust radio and channel assignment problem is formulated that explicitly takes into consideration link-level traffic demands. The key advantage of the proposed formulation is its robustness to channel variability and co-existence of external interference sources. We utilize the generalized Benders decomposition techniques to decouple the radio and channel assignment (combinatorial constraints) and network resource allocation (continuous constraints) so that the problem can be solved efficiently. The proposed algorithm is guaranteed to converge to the optimal solution within a finite number of iterations. We have evaluated our scheme using traces collected from a wireless mesh testbed and simulation studies in Qualnet. Experiments show that the proposed algorithm is superior to existing schemes in providing larger interference margin, and reducing outage and packet loss probabilities.
Keywords
channel allocation; radio networks; wireless channels; Qualnet; generalized Benders decomposition; interference margin; link-level resource provision; multiradio multichannel wireless networks; network resource allocation; packet loss probabilities; resource provision schemes; robust channel assignment; Bandwidth; Biosensors; Cameras; Computer science; Interference constraints; Network topology; Peer to peer computing; Robustness; Telecommunication traffic; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Protocols, 2008. ICNP 2008. IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1092-1648
Print_ISBN
978-1-4244-2506-8
Electronic_ISBN
1092-1648
Type
conf
DOI
10.1109/ICNP.2008.4697034
Filename
4697034
Link To Document