DeepSig Blog

As part of the 6G Symposium, DeepSig is excited to be participating in the panel “The Role of AI/ML in 6G Wireless Systems”. DeepSig CTO, Tim O'Shea, will speaking on the panel on October 20, 2020. This session, hosted by Prof. Chowdhury at Northeastern University, will explore one of the most critical and fundamental aspects of the technology which will drive 6G, how AI/ML technologies are already helping to shape and enable this fundamentally new approach to wireless systems, and how open system architectures such as OpenRAN are helping enable this evolution.   We’re looking forward to participating in the panel alongside NVIDIA, Interdigital, DARPA, and UCLA. 

DeepSig is heavily engaged with the global OpenRAN community to partner and deploy our unique machine learning driven enhancements to the 5G-NR protocol stack. Tim O'Shea, DeepSig CTO, will be speaking at the 2020 NVIDIA GPU Technology Conference on October 7, 2020 at 11 AM EST presenting some of our latest work on software for the 5G edge. (In session A21342 - Leveraging Deep Learning on the Edge to Enhance 5G Radio Access Network L1 Performance)

Fifth-generation wireless technology, simply referred to as “5G,” is up to 100x faster than current 4G technologies. 5G wireless systems come with significant complexities that previous generations of cellular wireless did not experience, allowing lower latency for faster responsiveness, and the ability to connect more devices at once. To address these complexities, carriers are integrating artificial intelligence (AI) into their networks.

Commercial and hobbyist drones come in many different shapes and sizes, both physically and with respect to their wireless control and data signal types. Nikola Tesla had one of the first visions of unmanned aerial vehicles and described his vision in the patent, “Method of and apparatus for controlling mechanism of moving vessels or vehicles,” that was granted November 8, 1898. In this patent, he suggested that these vehicles would be controlled by “waves, impulses, or radiations”.

5G wireless technology promises to dramatically improve the information, computer and communications industries by enabling countless new services with diverse requirements. The complex technologies on the horizon manage massive amounts of data. 5G wireless networks need machine learning (ML) to manage the volume of data with near light speed. More specifically, deep learning in 5G must be applied to reduce power consumption and improve performance.