Fingerprinting Localization in Wireless Networks Based on Received-Signal-Strength Measurements: A Case Study on WiMAX Networks

Abstract

Abstract-This paper considers the problem of fingerprinting localization in wireless networks based on received-signal-strength (RSS) observations. First, the performance of static localization using power maps (PMs) is improved with a new approach called the base-station-strict (BS-strict) methodology, which emphasizes the effect of BS identities in the classical fingerprinting. Second, dynamic motion models with and without road network information are used to further improve the accuracy via particle filters. The likelihood-calculation mechanism proposed for the particle filters is interpreted as a soft version (called BS-soft) of the BS-strict approach applied in the static case. The results of the proposed approaches are illustrated and compared with an example whose data were collected from a WiMAX network in a challenging urban area in the capitol city of Brussels, Belgium.

Softwarization of Mobile Network Functions towards Agile and Energy Efficient 5G Architectures: A Survey

“…The considered strategies are based on radio signal strength intensity (RSSI) estimation obtained through propagation models and measurements provided by mobile terminals. To produce accurate RSSI estimates, a fingerprinting approach [77] using power maps is proposed, whereby shadowing, fading, and non-line-of-sight (NLOS) effects are captured. The power maps are constructed by storing the RSSI measurements for a terminal located at a certain position during an offline phase.…”

A High-Efficiency Method of Mobile Positioning Based on Commercial Vehicle Operation Data

“…MSR-based location methods can be classified into three categories: angle of arrival (AoA) [13][14][15], time of arrival (ToA) [13,14,16], and time difference of arrival (TDoA) [9,10,13]. This approach requires higher computation power than other methods [12,[17][18][19].…”

Cluster-based RF fingerprint positioning using LTE and WLAN outdoor signals

“…However, GNSS relies on special hardware support, has high complexity, high battery consumption and the access to GPS signals is limited in some environments, such as urban areas with many high buildings, mountainous terrain and indoor areas [1]. Received Signal Strength (RSS) based fingerprinting localization has been the most widely used technique for user positioning during the last few decades [2][3]. Researchers are studying how to conduct radio signal positioning through signals from existing wireless infrastructure, such as cellular networks [2], WiMaX [3] and WiFi [4][5] networks.…”

“…Received Signal Strength (RSS) based fingerprinting localization has been the most widely used technique for user positioning during the last few decades [2][3]. Researchers are studying how to conduct radio signal positioning through signals from existing wireless infrastructure, such as cellular networks [2], WiMaX [3] and WiFi [4][5] networks. The rapid expansion of Wi-Fi access points (AP) across the urban/indoor environments made it possible for researchers to envision alternatives to TOA-based systems.…”