Advanced AI capabilities for wireless communication systems were made possible by Anritsu Corporation, an innovator of test and measurement solutions, through the integration of DeepSig’s proven AI machine learning technology.
Radio spectrum, a critical asset for wireless networks, requires optimal management and utilization, especially given the scarcity of new radio frequencies to enable 6G use cases. Recognizing the limitations of traditional RF sensing technologies in a dynamically changing wireless environment, the industry is increasingly focusing on developing new spectrum sharing technologies. As a result, more sophisticated monitoring was required in parallel with signal characterization.
Anritsu is taking the initiative by partnering with DeepSig to revolutionize spectrum sensing by delivering a solution that combines the capabilities of the Anritsu MS2090A Field Master Pro spectrum analyzer with DeepSig’s wireless signal detection and classification software. That’s what I’m aiming for. Based on patented AI deep learning algorithms, the software takes a data-driven approach to deep learning, and Anritsu uses his DeepSig machine learning training tools to develop new wireless signal models into its own capabilities. can be quickly incorporated into
Anritsu can now quickly and accurately learn RF signals from a variety of new sources, including drones and IoT devices. This process, which previously took months, is now completed in days. This innovation forms the foundational layer of AI-native RF sensing for 6G.
The integration of Anritsu and DeepSig capabilities heralds a new era in network performance enhancement and spectrum management. Previous methods often struggled to operate efficiently in dynamically changing wireless environments. But with DeepSig’s pioneering AI-native wireless communication technology, significant improvements are possible. DeepSig’s software leverages a unique combination of artificial intelligence, deep learning, and wireless systems expertise to deliver unprecedented improvements in capacity, efficiency, and security for specialized communications and 5G open RAN.
This innovative approach not only optimizes spectrum utilization but also enables real-time adaptation to changing RF conditions. DeepSig’s innovative solutions address the limitations of previous methods and prepare for a more dynamic and responsive wireless environment. Additionally, as the industry looks to the future, the foundation laid by Anritsu and his DeepSig will pave the way for advances in wireless technology, including the development of AI-native 6G networks.
Given the scarcity of new radio frequencies needed to enable 6G use cases, the role of artificial intelligence and machine learning in solving complex problems in wireless communications has never been more important. . The future of spectrum sharing technology will largely depend on the development of more advanced approaches to RF sensing and signal characterization.
For those interested in seeing this new technology in action, Anritsu will be exhibiting at Mobile World Congress (MWC) 2024 in Barcelona (Hall 5 Stand D41). DeepSig, a vital partner in this revolution, will also be exhibiting at the event in Hall 2 – 2L14MR.
