TY - GEN
T1 - A maxmin model for solving channel assignment problem in IEEE 802.11 networks
AU - Elwekeil, Mohamed
AU - Alghoniemy, Masoud
AU - Muta, Osamu
AU - Abdel-Rahman, Adel
AU - Furukawa, Hiroshi
AU - Gacanin, Haris
N1 - Publisher Copyright:
© 2014 EURASIP.
PY - 2014/11/10
Y1 - 2014/11/10
N2 - In this paper, an optimization model for solving the channel assignment problem in multi-cell WLANs is proposed. This model is based on maximizing the minimum distance between access points (APs) that work on the same channel. The proposed model is formulated in the form of a mixed integer linear program (MILP). The main advantage of the proposed algorithm is that it ensures non-overlapping channel assignment with no overhead power measurements. The proposed channel assignment algorithm can be implemented within practical time frames for different topology sizes. Simulation results indicate that the proposed algorithm exhibits better performance than that of the pick-first greedy algorithm and the single channel assignment method.
AB - In this paper, an optimization model for solving the channel assignment problem in multi-cell WLANs is proposed. This model is based on maximizing the minimum distance between access points (APs) that work on the same channel. The proposed model is formulated in the form of a mixed integer linear program (MILP). The main advantage of the proposed algorithm is that it ensures non-overlapping channel assignment with no overhead power measurements. The proposed channel assignment algorithm can be implemented within practical time frames for different topology sizes. Simulation results indicate that the proposed algorithm exhibits better performance than that of the pick-first greedy algorithm and the single channel assignment method.
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M3 - Conference contribution
AN - SCOPUS:84911877747
T3 - European Signal Processing Conference
SP - 146
EP - 150
BT - 2014 Proceedings of the 22nd European Signal Processing Conference, EUSIPCO 2014
PB - European Signal Processing Conference, EUSIPCO
T2 - 22nd European Signal Processing Conference, EUSIPCO 2014
Y2 - 1 September 2014 through 5 September 2014
ER -