Sybot: an adaptive and mobile spectrum survey system for wifi networks
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Predicting location-dependent qos for wireless networks
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
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A new macrocell prediction model for mobile radio environment is presented. The use of feedforward artificial neural networks makes it possible to overcome some important disadvantages of previous prediction models, including both deterministic and statistical types. Our sample implementation is based upon extensive electric field strength measurements (in the 900-MHz frequency band) that were carried out in the city of Belgrade using six different test transmitter locations. Comparison between the data obtained by the proposed electric field strength prediction model and independent measurement sets show that the proposed model is sufficiently accurate for use in planning mobile radio systems.