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

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 U1trawideband (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

Optimization criteria for joint communication and positioning networks

The current mobile system, namely 4G, has limitations in applications where low latency and high data rates are needed. In addition, new applications require a very precise user positioning, which 4G is not able to provide with high availability. In order to face these problems, a new mobile system is being developed, namely 5G. The 5G system is likely to be designed as a joint communication and positioning system. This thesis focuses on a couple of performance criteria in the context of 5G systems, namely the accuracy of the estimation of time-delay, which is directly proportional to the positioning accuracy, and the Quality of Service (QoS) of the communications, measured here in terms of the Bit Error Rates (BER). Our studies are based on three different waveforms proposed in the context of future 5G and mmWave frequencies (3-300GHz). The analysis is performed in two different scenarios, outdoor and indoor, and with different modulation orders. For each scenario, a channel model has been developed. The outdoor channel model is based on the channel model created for the 5G system in the European METIS project. For the indoor scenarios, the indoor maps of one multi-floor building in Tampere University of Technology are used. The results show that the modulation order has no influence on the positioning accuracy, but it is very important in the communication QoS. In addition, minor differences are observed from the selected three waveforms in terms of the joint positioning and communication performance, in such a way that there is no clear advantage in terms of positioning accuracy of one waveform over the other, among the three considered cases. The performance difference is better on the communication side, where a difference of 1dB between the waveforms is obtained to achieve the same BER value, the best being CP-OFDM