6G Forward

6G City-Scale Digital Twin

Our collaborations with renowned research institutions such as the Institute for Wireless Internet of Things and the Open6G cooperative research center at Northeastern University have led to the creation of a 6G city-scale digital twin. Powered by advanced AI and machine learning (ML) technologies, it plays a key role in training components like the 6G AI-Native Air Interface, advancing our understanding of network dynamics and performance.

This achievement highlights the importance of AI/ML in radio propagation modeling for large-scale network digital twins, integrating insights from real-world measurements and higher-layer KPIs through cooperative efforts.

VIAVI contributes to:

• Harmonizing with Open RAN Architecture by RIC, SMO interworking with APN Controller
• Digital Twin for APN
• Adopt Fiber Sensing Solution in APN Architecture

Forum Objective: Innovative Optical and Wireless Network (IOWN), to provide advanced capabilities of low-power consumption, ultra-wide bandwidth, large-scale simulations, and ultra-realistic UI/UX for future services through cutting-edge technologies such as next generation photonics-based technologies.

6G-TWIN

VIAVI tests and validates Digital Twin for Energy Saving and Mobility.

6G-TWIN Objective: provide the foundation for the design, implementation and validation of an AI-native reference architecture for 6G systems that incorporates Network Digital Twins as a core mechanism for the end-to-end, real- time optimisation, management and control of highly dynamic and complex network scenarios.

To achieve this, 6G-TWIN will deliver methods, modelling and simulation solutions for the definition, creation and management of multi-layered virtual representations of future 6G systems, where heterogeneous domains (i.e., edge, fog and cloud) and communication technologies (e.g., cellular, optical and Non-Terrestrial Networks (NTN)) coexist.

The associated solutions will be demonstrated in two complementary use cases addressing mobility and energy-efficiency challenges, aligned with the expected use cases of 6G and the Key Performance Indicators (KPI) defined in previously funded projects.

6G BRAINS

Bringing Reinforcement learning Into Radio Light Network for Massive Connections (6G BRAINS)

6G BRAINS addresses current challenges in networks, beyond 5G (B5G), 6G, Terahertz (THz), Optical Wireless Communications (OWC), Artificial Intelligence (AI), Multi-agent Deep Reinforcement Learning, Highly Dynamic Ultra-Dense Device-to-Device (D2D) Cell-free Networks, Grant Free-Non-Orthogonal Multiple Access (GF-NOMA), End-to-End (E2E) Slicing, Integrated Access Backhaul (IAB), Industrial Virtual Assistant (IVA), Simultaneous Localization and Mapping (SLAM), Content Distribution Network (CDN), massive Machine Type Communication (mMTC) and Ultra-Reliable Low Latency Communication (URLLC).

Innovating 6G for the future. Actively shaping 6G standards and have defined 6 research vectors to ensure risks to suppliers and service providers are minimized. Fully developing the potential of 5G creates an upgradable foundation that could revolutionize networks and usher in not just advanced mission critical URLL use cases but entirely new industries.

Find out more at: 6G BRAINS

VIAVI provides 6G integration and testing and will participate and co-lead 6G research and innovation work including:

• 6G 3D channel modelling
• 3D RAN digital twin
• Semantic communication

Awarded a £12M research grant from the UK government to advance Telecoms networks. The project, which involves a consortium of UK universities and international operators and vendors, aims to solve big challenges such as the digital divide and energy efficiency through research and innovation in open network components.

Hosted by 5G/6G Innovation Centre at the University of Surrey, explores and expands on Open RAN principles, looking into new open network components while focusing on both their technical capabilities as well as interoperability in the wider RAN and core.

This project shows great progress for the industry and society, as we discover new testing challenges and opportunities in 6G networks.

VIAVI was granted funding for the following projects:

• ARIANE
• HiPer-RAN
• REACH

DSIT ONE funded projects in the next phase of the UK Open Networks Research and Development (R&D). Across these areas:

• High Demand Density (HDD) Use Cases/Demonstrations
• RIC and other RAN Software Automation
• Processors, RF, and other RAN Hardware