DeepSig Blog

DeepSig’s new 5G Wireless AI Lab has officially opened. The lab includes an end-to-end 5G network using state-of-art, commercial grade, multi-vendor products and tools. The 5G Wireless AI Lab focuses on measuring and validating machine learning software on over-the-air calls and data using 5G Open virtual radio access network (vRAN) and signal classification for dynamic spectrum allocation and interference mitigation.

Tune in for the International Telecommunications Union (ITU) webinar on November 27, 2020 to see DeepSig CTO, Tim O'Shea speak to how artificial intelligence and machine learning are optimizing the 5G Radio Access Network (RAN), and how they are building the foundations of the 6G data-driven RAN.  Learn more about this event on ITU's site here.

Wireless signals transmit data through the electromagnetic spectrum which is divided into frequencies for different uses by international regulations (e.g., the ITU) and each country’s spectrum regulator (such as the FFC/NTIA, Ofcom, MIC). The portion of the electromagnetic spectrum typically used for wireless communications is known as the radio frequency (RF) spectrum.

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)