This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignee: Telefonaktiebolaget Lm Ericsson (Publ). Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Aditya Sriram Rajasekaran: Innovator in Deep Learning Communications
Introduction
Aditya Sriram Rajasekaran is a notable inventor based in Ottawa, Canada. He has made significant contributions to the field of communications, particularly in the area of deep learning and non-orthogonal multiple access (NOMA) technologies. His innovative approach has the potential to enhance user clustering in millimeter wave communications.
Latest Patents
Aditya holds a patent titled "Deep learning-based user clustering in millimeter wave non-orthogonal multiple access communications." This patent discloses a method and network node for deep learning-based user clustering in mmWave NOMA. The method involves determining a minimum number of clusters to be served by the network node while adhering to constraints that limit the total number of wireless devices (WDs) in each cluster. Additionally, it includes assigning WDs to each cluster based on the determined minimum number of clusters and their spatial distribution.
Career Highlights
Throughout his career, Aditya has worked with prominent companies, including Telefonaktiebolaget Lm Ericsson, where he has gained valuable experience in the telecommunications sector. His work has focused on advancing communication technologies and improving network efficiency.
Collaborations
Aditya has collaborated with talented individuals such as Saad Al-ahmadi and Hamza Sokun. These collaborations have contributed to his innovative projects and have fostered a productive working environment.
Conclusion
Aditya Sriram Rajasekaran is a pioneering inventor whose work in deep learning and communications is shaping the future of technology. His contributions are significant and reflect his dedication to innovation in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
