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
Link To Document :
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