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A Machine Learning Method for Positioning in the 5G Cellular Networks

Descripción:

Technologies in the developing of 5G-communication system provide interesting prospects, which are beneficial for positioning. The substantial increase in the number of mobile users (MUs) and their demand on higher data rates and volumes, create challenges on the efficient distribution of limited...

Creador:

Liu, Chong

Palabra clave:

Beamforming, 5G, Adaptive, Wireless, Outdoor localization, and Machine learning

GW Unit:

Electrical Engineering

Degree:

Ph.D.

Advisor:

Helgert, Hermann J.

Committee Member(s):

Ahmadi, Shahrokh, Aslani, Amir, Helgert, Hermann J., Ozel, Omur, and Doroslovački, Miloš

Resource Type:

Thesis or Dissertation