Lipschitzian optimization without the Lipschitz constant
Journal of Optimization Theory and Applications
On the wireless local area network design problem with performance guarantees
Computer Networks: The International Journal of Computer and Telecommunications Networking
Models and solutions for radio irregularity in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Algorithms for WLAN coverage planning
NGI'04 Proceedings of the First international conference on Wireless Systems and Mobility in Next Generation Internet
Modern approaches in modeling of mobile radio systems propagation environment
IEEE Communications Surveys & Tutorials
On the deployment of picocellular wireless infrastructure
IEEE Wireless Communications
QoS constrained wireless LAN optimization within a multiobjective framework
IEEE Wireless Communications
IEEE Transactions on Wireless Communications
Optimal location of transmitters for micro-cellular radio communication system design
IEEE Journal on Selected Areas in Communications
Mono- and multiobjective formulations for the indoor wireless LAN planning problem
Computers and Operations Research
EURASIP Journal on Wireless Communications and Networking
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A new approach for predicting coverage of wireless LAN at 2.4 GHz is presented. Coverage prediction is one of the core parts of indoor wireless LAN planning tools. The main concern it has to deal with is providing a good trade-off between prediction accuracy and computational load. Usual approaches belong to either empirical or deterministic methods. A new perspective has recently been offered that exploits a discrete formalism based on the TLM formulation. It is referred to as Multi-Resolution Frequency Domain ParFlow (MR-FDPF). While ray-tracing handles computational load by restricting the number of considered paths, the proposed approach acts by adapting the spatial resolution. This paper presents the straight lines of MR-FDPF and details the conditions for efficient in-building coverage prediction at 2.4 GHz. In a second part this paper tackles the calibration problem and claims for an automatic calibration process to improve the fit between predictions and measurements. A couple of experiments are presented.