A novel fingerprinting positioning approach in urban cellular networks

In recent years, location-based services have become a fundamental application in smartphones. This kind of service can be applied in many fields, e.g., navigation, security, advertising, social networks, etc. The aim of this paper is to study the received signal strength-based fingerprinting positioning system in urban cellular networks. We investigate several classification algorithms through simulations. Furthermore, a new positioning method based on k-nearest neighbors has been proposed. This method was developed as a good solution for the design of hardware location systems, and to ensure a real time application.