This White Paper will address the main driving forces for fibre investment, proposing a way forward for a
fibre development index (FDI), including the definition of country clusters that present similar stages of
development, requirements, and evolution paths. Finally, it proposes some future directions,
recommendations, and related actions.
With this White Paper, the authors intend to set the guidelines for an FDI and the fundamentals for
related standardization work in this scope.
The NGMN Green Future Network project expands on the discussion of sustainability as outlined in the NGNM 5G White Paper v2.0 and is focused on the identification and mitigation of environmental impacts generated by the network part of the Information and Communications Technologies (ICT) sector.
This tutorial provides an overview of Quantum Machine Learning (QML), a relatively novel discipline that brings together concepts from Machine Learning (ML), Quantum Computing (QC) and Quantum Information (QI).
Following the release of Dr David Soldani’s white paper, “6G Fundamentals: Vision and Enabling Technologies -From 5G to 6G Trustworthy and Resilient Systems”, the University of New South Wales professor will be giving an online talk hosted by IEEE to discuss the observations and conclusions.
In this newly-released white paper from the Oppo Research Institute, the authors posit the need for an additional plane in 6G telecoms networks, beyond the control and user planes. This additional plane would be the AI functional plane.
The white paper outlines the role, functions and integration of the proposed AI plane in a well-illustrated 20-page document.
This paper by Queens University Belfast, published in the IEEE Communications Magazine, looks at some of the fundamental problems that pertain to key physical layer enablers for 6G. This includes highlighting challenges related to intelligent reflecting surfaces, cell-free massive MIMO and THz communications. Our analysis covers theoretical modeling challenges, hardware implementation issues and scalability among others. The paper concludes by delineating the critical role of signal processing in the new era for wireless communications.
One of the Hexa-X projects’ earliest deliverables addresses the massively complex topic of service management and orchestration in a flexible, heterogeneous network of networks.
This paper outlines the current state of the art and, crucially, features a gap analysis outlining where further research is needed.
Overall, 6G is expected to be a self-contained ecosystem with flexible management and control and automated human-like decision-making processes. It will build on top of the current human-centric network architecture where service-specific variations (vertical-oriented network slices) apply to a holistic self-learning service provisioning platform, engaging any type of connectivity and device.
KPIs such as affordability, scalability and sustainability drive the design of the 6G era, while the network programmability (introduced in5G), stands in the epicentre of a self-learning network management controlled by the infrastructure owners and the vertical service providers.
Access the full white paper here.
This research paper by Dr David Soldani of the University of New South Wales explores what a 6G network might credibly look like and how it can be made to function.
The author’s vision is that, by 2030, “all intelligence will be connected following a defence-in-depth strategy – augmented by a zero-trust model – through digital twinning, using B5G/6G wireless, and machine reasoning will meet machine learning at the edge”.
The paper includes discussions of a wide ranging set of issues and ideas, including an extensive set of links to further reading, videos and articles and illustrations of key concepts.