Ultra-wideband signals for high-resolution cognitive positioning techniques in 5G wireless

The 5G network prospect of seamlessly connected global devices with delay-tolerant communication, millisecond latency and gigabits per second data rate suggests the need for high resolution location-aware systems with new methods for positioning services. Traditional geo-positioning methods have been characterized by detection and mitigation of NLOS paths where discrimination between LOS and NLOS components are cast into a hypothesis-testing problem. This explains the focus of most related works on range measurements. It is however believed that Ultra-wideband (UWB) promises better positioning methods for accuracy-critical situations expected in 5G setting. This proposes EULOSTECH; an algorithm for enhanced UWB LOS sufficient positioning technique and mitigation method for cognitive 5G wireless setting. Results obtained from simulation experiments have been impressive and the highlights are presented in this paper. It is believed that the proposed solution has potential for robust and cost efficient localization in 5G setting as well as prospect to decongest licensed spectrums in 5G wireless environment with UWB.