About this Research Topic
Sixth-generation wireless (6G) is the successor to 5G cellular technology. It will provide substantially higher capacity and much lower latency. As we look ahead in the rapidly evolving technology landscape, 6G, alongside IoT, AI, and edge computing, become key components of the future digital society. Competitive advantage in the future digital world is based on the ability to innovate continuously and improve, through a unified and open communication and computing architecture beyond the current capabilities, to experience better services. It is key to keep pace with soaring computing and connectivity demands, as well as energy and climate related bottlenecks limiting growth. Such a change will cause some inevitable growing pains. Challenges like interoperability, native integration of AI, ultra-low latency, extreme mobility, ultra-high data rates, data trust, energy efficiency and being green have to be carefully and jointly addressed.
The goals of this Research Topic are to:
• Identify new challenges and share new solutions for the overall system functional architecture to meet the expected extreme B5G/6G requirements;
• Boost convergence of different infrastructure, service, business, and application environments, capable of a unified service provision across heterogeneous communication and computing environments;
• Identify characteristics and requirements to serve different verticals such as smart cities, Intelligent Transportation Systems (ITS), Public Protection and Disaster Relief (PPDR), connected mobility, holographic communication, industrial IoT, Media & Entertainment or e-health;
• Enhance adoption of AI tools to address the problem of efficiency and energy consumption of the ICT infrastructure;
• Encourage strong interaction between industries and the academic world.
Researchers are encouraged to submit complete unpublished papers with their contributions, exploring emerging technologies toward 6G. Topics of interest include, but are not limited to, the following:
• 6G architecture beyond the current service based architecture (SBA) capacities.
• Emerging Cloud-Native Vertical and Network Applications.
• Distributed computing architectures for deep edge-edge-cloud hierarchy.
• Orchestration and management of resources and 5G/6G networks.
• Cross-domain service orchestrator (CDSO) and network slicing.
• Deterministic networking.
• Network virtualization flow processing and combines edge and network in one logical entity.
• Software-defined networking and in-network compute capacity.
• Computation offloading on edge-to-cloud hierarchy.
• Training data models and tools for distributed AI/ML telecommunications.
• Power consumption models of edge computing and networks.
• Native integration of AI for telecommunications.
• Applications, testbed and experiments of emerging B5G/6G.
The goals of this Research Topic are to:
• Identify new challenges and share new solutions for the overall system functional architecture to meet the expected extreme B5G/6G requirements;
• Boost convergence of different infrastructure, service, business, and application environments, capable of a unified service provision across heterogeneous communication and computing environments;
• Identify characteristics and requirements to serve different verticals such as smart cities, Intelligent Transportation Systems (ITS), Public Protection and Disaster Relief (PPDR), connected mobility, holographic communication, industrial IoT, Media & Entertainment or e-health;
• Enhance adoption of AI tools to address the problem of efficiency and energy consumption of the ICT infrastructure;
• Encourage strong interaction between industries and the academic world.
Researchers are encouraged to submit complete unpublished papers with their contributions, exploring emerging technologies toward 6G. Topics of interest include, but are not limited to, the following:
• 6G architecture beyond the current service based architecture (SBA) capacities.
• Emerging Cloud-Native Vertical and Network Applications.
• Distributed computing architectures for deep edge-edge-cloud hierarchy.
• Orchestration and management of resources and 5G/6G networks.
• Cross-domain service orchestrator (CDSO) and network slicing.
• Deterministic networking.
• Network virtualization flow processing and combines edge and network in one logical entity.
• Software-defined networking and in-network compute capacity.
• Computation offloading on edge-to-cloud hierarchy.
• Training data models and tools for distributed AI/ML telecommunications.
• Power consumption models of edge computing and networks.
• Native integration of AI for telecommunications.
• Applications, testbed and experiments of emerging B5G/6G.
Keywords: 6G, B5G, Vertical, Use Cases, AI, Cloud-native, MEC, SDN/NFV
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
