Saint-Cloud, France

Fayçal Aït Aoudia


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Fayçal Aït Aoudia: Innovator in Radio Communication Systems

Introduction

Fayçal Aït Aoudia is a notable inventor based in Saint-Cloud, France. He has made significant contributions to the field of radio communication systems, particularly through his innovative use of machine learning techniques.

Latest Patents

Aït Aoudia holds a patent for "Frequency division multiplexing with neural networks in radio communication systems." This patent discloses apparatuses, systems, and techniques that utilize machine learning to determine transmitted signals in communication systems that deploy orthogonal frequency division multiplexing. The system includes receiving antennas to capture RX signals, which are received over respective resource elements of a resource grid. Each resource element is associated with different radio subcarriers and/or data symbols. The RX signals comprise a combination of multiple transmitted streams. Additionally, the system features a processing device that processes the RX signals using one or more neural network models to ascertain the TX data symbols transmitted via the plurality of TX streams. Aït Aoudia's innovative approach enhances the efficiency and effectiveness of communication systems.

Career Highlights

Fayçal Aït Aoudia is currently employed at Nvidia Corporation, where he continues to push the boundaries of technology in the field of radio communications. His work is characterized by a strong emphasis on integrating advanced machine learning techniques into traditional communication frameworks.

Collaborations

Aït Aoudia has collaborated with notable colleagues such as Jakob Richard Hoydis and Sebastian Cammerer. These collaborations have further enriched his research and development efforts in the field.

Conclusion

Fayçal Aït Aoudia is a pioneering inventor whose work in radio communication systems exemplifies the intersection of machine learning and telecommunications. His contributions are shaping the future of communication technologies.

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