M-MIMO Map Based Positioning in Wireless Networks

Sammanfattning: The next generation 5G systems has attracted more and more attention to the rapid development of information and communication technology (ICT). Positioning is an important research area in 5G mobile networks, especially in M-MIMO wireless networks. Because the base station needs to have a knowledge of the position of the user equipment, which can direct the signal to the user equipment while reducing interference and hence improve the user throughput. But the problem is that it is difficult to determine position when users are in NLOS scenarios. In the master thesis, we conclude the existing positioning method by the literature review, as well as get the inspiration to design our research environment. Through the MATLAB simulation, we restore the Madrid city three-dimensional environment, design and confirm a new method for the positioning by the AoA and the path power in NLOS scenarios. Our results indicate that the new positioning method demonstrates a nice performance of the accurate level even in the NLOS scenarios, in which the error of the position of the user equipment is within o.5 meters. Although the method is very sensitive to the strange signal paths, we can use the path with the strongest path power to overcome this problem. Meanwhile, the performance of our new positioning method is not impacted by the existence of the scattering loss.