DocumentCode
1991378
Title
Lagrangian relaxation approach for low complexity channel assignment in multi-cell wlans
Author
Elwekeil, Mohamed ; Alghoniemy, Masoud ; Furukawa, Hiroshi ; Muta, Osamu
Author_Institution
Electron. & Commun. Eng. Dept., Egypt-Japan Univ. of Sci. & Technol., Alexandria, Egypt
fYear
2013
fDate
28-31 Jan. 2013
Firstpage
138
Lastpage
142
Abstract
The Channel assignment problem for multi-cell WLANs is important due to the lack of free available channels. Usually, this problem can be formulated as a mixed integer linear program (MILP) which requires high combinatorial complexity. In this paper, a lagrangian relaxation technique is used in order to transform the MILP into a low complexity linear program. Simulation results show that the proposed channel assignment algorithm provides significant reduction in complexity compared to the MILP counterpart at the expense of insignificant increase in total interference-sum at Access Points (APs). It is also suggested that the benefits of reduced complexity outweigh the increased interference.
Keywords
channel allocation; communication complexity; integer programming; linear programming; radiofrequency interference; wireless LAN; AP; Lagrangian relaxation approach; MILP counterpart; access points; combinatorial complexity; complexity outweigh; interference-sum; low complexity channel assignment; low complexity linear program; mixed integer linear program; multicell WLAN; Conferences; Decision support systems; Handheld computers; IEEE 802.11; WLAN; channel assignment; lagrangian relaxation; mixed integer linear programming; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Networking and Communications (ICNC), 2013 International Conference on
Conference_Location
San Diego, CA
Print_ISBN
978-1-4673-5287-1
Electronic_ISBN
978-1-4673-5286-4
Type
conf
DOI
10.1109/ICCNC.2013.6504069
Filename
6504069
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