2024 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 6G Radio Access Network Technologies and Solutions.
Agenda and schedule will be announced soon.
2024 Themes
6G Technology Trends
Today, 6G has not been defined yet, however the discussions in academia and industry have started since many years ago, while the requirements definition in 3GPP initiated this year, with the official 3GPP Release for 6G to be the Rel-20, starting in 2025. And one thing is for sure, 6G will continue to transform the current wireless networks as well as the vertical industries.
Huawei has been working actively towards the solutions that will drive us towards the future 6G, and the Huawei Future of Wireless Workshop is seeking the discovery of the converging points between academia and industry regarding 6G.
What can drive the extension of the current 5G capabilities and usage scenarios of the core communications part, and how can the introduction of new capabilities through AI, integrated sensing and ubiquitous connectivity transform our networks and the provided services? In this Session, we would like to discuss ideas and opinions regarding the 6G visions, the technology trends and the current challenges, from the perspective of university, telecom vendor and telecom operator, in order to bring 6G closer to practice.
AI for 6G Networks
Integrated AI and Communications is well-recognized by the telecom industry as a key enabler of 6G to provide the new usage scenarios, promising better performance and new revenue streams. In particular, the future wireless networks are heading towards AI Native Communications, where AI will be exploited in order to improve the performance of the 6G networks, as an intrinsic part of the network. In particular, complex problems in wireless communications will be solved more efficiently by learning and leveraging patterns and structures of the data, even by additionally incorporating the great wireless domain knowledge in order to reduce complexity and training times. Moreover, AI will provide new AI services, it will enable network automation, while AI can also be utilized exploited to enhance the 6G’s new sensing capabilities.
How AI can be an essential part of 6G, what RAN functions should be replaced or enhanced by AI, what types and technologies of AI are more suitable for the complex wireless communication and sensing problems that require fast and low complexity processing? This Session will try to answer these questions focusing on how AI can enable the evolution of both Communications and Sensing towards 6G.
AAU, MIMO and Beamforming for 6G
Future 6G networks are expected to offer unprecedented performance gains in terms of higher data rates, lower power consumption, omnipresent coverage and low network latency. The above requirements are accompanied with new challenges for the hardware architecture of the base station radios. Higher data rates typically require higher number of transceiver chains and larger bandwidth, while better coverage typically means higher output power or network densification. But, how to create these very agile radios that can provide good coverage and high data rates while still being very power efficient? From hardware perspective, some of the most important radio subsystems to look into are the DACs/ADCs, the PAs, the DPD algorithms and the antenna subsystem, demanding for a paradigm shift in their design.
In this Session, we will focus on recent advances related with these specific technologies in order to discuss insights and ideas on how the future base station radios can be optimized to secure the performance requirements.
6G Compute
Radio Access Network (RAN) processing workloads are highly compute intensive, complex and heterogeneous, driven by the increasing performance requirements for higher data rates, low power and low latency. Thus, the compute solutions for future RAN require high versatility and high efficiency which result in distribution of computation in radios and in aggregated units.
In addition, AI is expected to be a native feature of 6G, demanding for various AI training and inference functionalities that have to be incorporated in RAN. To design a versatile and efficient compute solution for AI-powered RAN that combines the big data, intensive multiplication and high power consumption processing of AI and very low latency processing of wireless communication, is a challenge. The above together with the other new services that are expected by 6G, such as sensing, will increase even more the computational requirements in RAN.
In the Session, we would like to discuss ideas on how the future compute platform will look, in order to address both the traditional wireless signal processing, and upcoming AI and new services processing.