The current era of digital transformation has forced telecom operators to re-examine their businesses and revise their strategies to deliver services in a smarter, cost-efficient way.
Currently, regarding the tilt of the base station antenna, radio engineers perform various tunings and set the optimum angle while considering the radio conditions and the relations between multiple cells. Tupl RF Shaping performs deep reinforcement learning based on terminal location information and radio related data to calculate the optimal tilt angle. This will enable effective use of frequencies, improvement of radio conditions within cells, reduction of interference, and improvement of user quality.
