Localization in Wireless Networks Depending On Map-Supported Path Loss Model: A Case Study On WiMAX Networks

Abstract

This paper considers the problem of improving localization accuracy in wireless networks by adjusting the path-loss model exponents depending on public road network information. Using the RSS high variations for further positioning accuracy improvement is also considered. First, localization depending on path-loss model is discussed. Second, the road network information is used to improve the accuracy by adjusting the path-loss exponents for better range estimations. The results of the proposed approaches are illustrated and compared on an example whose data were collected from a WiMAX network in a challenging urban area in the Brussels capitol city.

GPS-Assisted Path Loss Exponent Estimation for Positioning in IEEE 802.11 Networks

“…In [29] the authors used the Okumura-Hata model to calculate two different PLEs in a WiMAX network, although the Okamura-Hata model is usually applied in macrocell environments (distances greater than 1 km). They formulated two different map-supported PLMs from RSSI observations.…”