SwePub - sökning: WFRF:(Amaldi Edoardo)

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1.	Amaldi, Edoardo, et al. (författare) Solving Nonlinear Covering Problems Arising in WLAN Design 2011 Ingår i: OPERATIONS RESEARCH. - : Informs. - 0030-364X .- 1526-5463. ; 59:1, s. 173-187 Tidskriftsartikel (refereegranskat)abstract Wireless local area networks (WLANs) are widely used for cable replacement and wireless Internet access. Because the medium access control (MAC) scheme of WLANs has a strong influence on network performance, it should be accounted for in WLAN design. This paper presents AP location models that optimize a network performance measure specifically for the MAC scheme of WLANs that represents the efficiency in sharing the wireless medium. For these models, we propose a solution framework based on an effective integer-linear programming Dantzig-Wolfe reformulation. This framework is applicable to any nonlinear covering problem where the objective function is a sum of contributions over the groundset elements (users in WLANs). Extensive computational results show that our solution strategy quickly yields optimal or near-optimal solutions for WLAN design instances of realistic size.

Amaldi, Edoardo, et al. (författare)
Solving Nonlinear Covering Problems Arising in WLAN Design
2011
Ingår i: OPERATIONS RESEARCH. - : Informs. - 0030-364X .- 1526-5463. ; 59:1, s. 173-187
Tidskriftsartikel (refereegranskat)abstract
- Wireless local area networks (WLANs) are widely used for cable replacement and wireless Internet access. Because the medium access control (MAC) scheme of WLANs has a strong influence on network performance, it should be accounted for in WLAN design. This paper presents AP location models that optimize a network performance measure specifically for the MAC scheme of WLANs that represents the efficiency in sharing the wireless medium. For these models, we propose a solution framework based on an effective integer-linear programming Dantzig-Wolfe reformulation. This framework is applicable to any nonlinear covering problem where the objective function is a sum of contributions over the groundset elements (users in WLANs). Extensive computational results show that our solution strategy quickly yields optimal or near-optimal solutions for WLAN design instances of realistic size.

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