2025 European Future of Wireless
Technology Workshop
This year we will be meeting you live in Stockholm! The workshop will be carried out in two days with a series of exciting topics focusing on Emerging Wireless Technologies and Solutions for Next Generation RAN.
To be announced soon.
2025 Themes
Emerging Wireless Technologies for Next Generation BTS
Next generation base stations are evolving to meet the increasing demands of 5G-Advanced and future 6G networks through key innovations in emerging wireless technologies. At the heart of this evolution are massive MIMO and beamforming arrays, which significantly enhance spectral efficiency, signal quality, and spatial multiplexing capabilities in dense and highly dynamic environments.
This session will cover supporting wireless technologies such as novel metamaterial technologies, recent advances in CMOS RF technologies, synchronization methods for RF systems and digital RF methods for sidelobe control. Together, these RF advancements are key elements to drive the transition toward next-generation base station system architectures that will form the flexible, scalable backbone of future wireless networks, enabling a wide range of applications from enhanced mobile broadband to ultra-reliable low-latency communications.
Future of Baseband Compute
Processing workloads in the Radio Access Network (RAN) are highly complex and compute intensive with tight requirements on low latency and efficiency. 6G pushes these requirements even further with the addition of new features, more antennas, larger bandwidths and lower latency. 6G will also be AI-native adding AI training and inference workloads throughout the future 6G RAN. This introduces very challenging requirements on the future compute platform which will have to support very high computational demands for both RAN and AI workloads, while being constrained by very low latency and energy consumption requirements. In this session we would like to discuss new ideas and technologies that could help us address the high computational demand and the energy efficiency requirements in the future AI-native 6G RAN.
Intelligent and Cooperative ISAC
Integrated sensing and communication (ISAC) is considered as a key native technology that drives the emerging functionalities of future wireless networks toward 6G and beyond. ISAC will allow the future networks not only to communicate but also to sense the environment, under the same infrastructure. Thus, ISAC is expected to bring new services and new revenue to the operators as well as to assist communication and improve network performance.
In this Session, we would like to discuss ideas and opinions regarding the technology trends and the current challenges of ISAC, and how AI and the cooperation between diverse network elements (sites) and frequency bands can enhance ISAC performance and flexibility, overcoming current limitations and bringing ISAC closer to practice. In particular, AI-driven ISAC, Distributed and Multi-Static ISAC, as well as Multi-band ISAC will be the main focus of this session trying to answer the question on how intelligent and cooperation can enable the evolution of ISAC from the simple exploration use cases that we investigate in 5G Advanced to the fully fledged and optimized ISAC in 6G.
Distributed AI and Algorithms for Cell-free Networks
Distributed MIMO and cell-free networks are considered as key enabling architectures for the future wireless networks. These architectures abandon traditional cell boundaries, allowing a dense set of access points to collaboratively serve users, enhancing spectral efficiency, fairness, reliability and uniform coverage. However, these new architectures introduce new challenges in terms of distributed channel estimation, interference management, resource allocation, as well as computational complexity. At the same time, distributed algorithms and distributed AI can decentralize and bring compute and intelligence closer to the edge, enabling real-time decision-making across distributed network nodes, and thus it can be considered as a viable solution to address the cell-free challenges, by reducing complexity and by decentralizing processing. Thus, the combination of these approaches can support the vision of scalable, resilient, and user-centric 6G systems. In this Session, we would like to discuss ideas and cutting-edge research regarding the technology trends and the current challenges of distributed algorithm and AI for cell-free networks.