Boris Kouassi

Title: Innovations of Boris Kouassi in Machine Learning and Grid-of-Beams Design

Introduction

Boris Kouassi is an innovative inventor based in Massy, France. He has made significant contributions to the field of machine learning, particularly in the design of grid-of-beams (GoB) systems. His work focuses on enhancing communication technologies through advanced algorithms and neural networks.

Latest Patents

Boris Kouassi holds a patent for an "Apparatus and method for designing a grid-of-beams using machine learning." This patent outlines systems, methods, apparatuses, and computer program products for determining a grid-of-beams. One of the methods described involves collecting network data to train a neural network. The trained neural network learns a non-discounted cumulative reward Q, which evaluates the benefits of including specific beams into a grid-of-beams. The process includes iteratively applying the trained neural network to select optimal beams for transmission to user equipment.

Career Highlights

Boris Kouassi is currently employed at Nokia Solutions and Networks Oy, where he continues to develop innovative solutions in telecommunications. His expertise in machine learning and network design has positioned him as a valuable asset in the industry.

Collaborations

Boris has collaborated with notable colleagues such as Deepak Kumar Nayak and Chandrashekhar Thejaswi. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Boris Kouassi's contributions to the field of machine learning and grid-of-beams design exemplify the impact of innovative thinking in telecommunications. His patent and ongoing work at Nokia Solutions and Networks Oy highlight the importance of advancing communication technologies through research and collaboration.