Anritsu will be showcasing future connectivity towards 6G at Mobile World Congress (MWC) in Barcelona, from 3-6 May 2025. Anritsu is helping to improve the performance of today’s 5G networks and accelerate future wireless and optical connectivity.
Key showcases at the company’s stand include AI-powered test tools, virtualised solutions to accelerate UE protocol development, an advanced digital twin simulation environment for C-2VX, and NTN mobility device testing.
Anritsu will also share findings from its research collaborations for 6G, including advancements in evaluation of FR3 RIS surfaces together with LGU+, POSTECH and Corning at RAPA, a dynamic RIS provided by TMYTEK, and industry-leading FR3 channel sounding with Aalborg University. Visitors can also explore demonstrations of AI-driven network assurance and customer experience monitoring, together with Private Network service assurance solutions.
AI for Test Tools leverages AI to bring new capabilities for analysying captured data. These solutions, powered by AI, provides a new class of RF sensing built on Anritsu Spectrum Analyzers. Integrating with DeepSig software presents an AI-assisted system that detects and classifies signals while understanding the spectrum environment to inform contextual analysis and decision-making.
These analysers work with YOTASYS solutions, providing an integrated AI solution that can be quickly and easily deployed for spectrum monitoring. Working in collaboration with solution that is quickly and easily deployed for spectrum monitoring. In collaboration with Tor Vergata University of Rome, Anritsu’s analysers are also employed to showcase a wide-area machine-learning-based monitoring solution, demonstrating the versatility and potential of AI in spectrum analysis.
Anritsu’s Service Assurance platform, powered by data and AI-driven insights, provides visibility into networks and operations, from large network equipment modules to individual subscriber behaviour.
Having integrated Ookla’s DownDetector data as an additional layer, the platform gains real-time insights into how subscribers perceive their experience with operator services. This enables strong correlations to be drawn between network issues and subscriber experience.
Anritsu will showcase an advanced digital twin simulation environment, developed in collaboration with dSPACE, designed to provide improved protection for vulnerable road users (VRU). The demonstration at MWC will feature road safety use cases utilising both C-V2X network mode and direct mode communications. This solution creates a digital twin environment for real-world scenarios, enabling extensive VRU protection testing to be conducted virtually when features are not yet available on the actual vehicle or networks.
Handover/mobility and RF sensitivity of NTN (Non-Terrestrial Network) NB-IoT are two of the key topics for deployment of satellite ‘direct to device’ services. Because NTN uses satellites, this creates challenges with large propagation delays and low signal levels, resulting in a demanding RF environment. Anritsu’s solution, created in collaboration with NEYOS, allows customers to test RF sensitivity and validate NTN-TN re-selection with seamless call connection in an NTN environment. The demonstration highlights the company’s commitment to advancing reliable and efficient satellite communication technologies.
In 5G a UE is required to support increasingly complex network configurations and adapt to continuous protocol enhancements. To facilitate protocol testing in early ‘pre silicon’ phases, and for efficient ‘regression test’, Anritsu has introduced Virtual Signaling Tester capabilities. On the booth it will demonstrate this capability with Software Defined Radio (SDR) hardware, to make a complete device test solution suitable for early-stage UE protocol testing, enabling developers to streamline their workflows and accelerate 5G device development.
Finally, Anritsu will highlight the MT1000A tester, designed to evaluate network performance in the field, crucial for industry verticals such as autonomous driving. The tester is combined with UE based logging of network conditions from SmartViser Neo tools to enable a unique set of highly accurate and detailed measurements for multi-domain KPI’s of network quality, ensuring comprehensive insights into network quality, even while moving through the network.
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