Enhanced Ultrawideband LOS sufficiency positioning and mitigation for cognitive 5G wireless setting

Abstract

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 Ultrawideband (UWB) promises better positioning methods for accuracy-critical situations expected in 5G setting. This paper outlines probable 5G wireless architecture as a road map to UWB in future wireless environments. It also proposes EULOSTECH; an algorithm for enhanced UWB LOS sufficiency 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.