Progress and Research Challenges to Catalyze B5G and 6G
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: 15 October 2024 | Viewed by 6442
Special Issue Editors
Interests: network functions virtualization; software-defined networks; network management; applied AI
Interests: network coding; WLAN and WPAN technologies; TCP/IP performance analysis over wireless networks; multi-hop and ad hoc network techniques and protocols; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals
Interests: next-generation digital communication systems; 5G and beyond enabling technologies; signal processing techniques for communication systems; next-generation optical communication systems
Special Issue Information
Dear Colleagues,
Sixth-generation wireless communications have been envisioned to continue the trajectory of 5G and Beyond 5G (B5G) towards high-throughput (Tbps) and low-latency (below 1 ms) reliable communications for highly demanding applications, such as holographic communication and telepresence, multi-sensory applications, high-precision manufacturing, brain–computer interactions, etc. The B5G and 6G networks will be immersed in cloud, edge and fog computing environments orchestrated through complex control paradigms, where emerging services such as the Internet of everything will allow the interaction of billions of smart devices. The ever-growing complexity of B5G and 6G network environments will be managed by powerful artificial intelligence (AI)-based management paradigms across all different segments of the network, as well as the computational and storage components. B5G and 6G applications and services will renew the undelayable challenge for a new IP architecture where, among other important issues, very large volumes of data injected into all segments of the network will require in-network congestion and flow control functions driven by relevance, entropy, or semantic directions. The 6G networks will be self-driving and self-optimizing, based on precision telemetry and data analytics for all the network and computing segments. Contributions addressing any of these issues are very welcome.
This Special Issue aims to be a forum for the presentation of research contributions to catalyze B5G and 6G technologies. In particular, we encourage contributions to address the complexity of network softwarization and service provision, distributed orchestration, new IP paradigms for B5G and 6G, advanced AI/ML to enable self-driving and self-optimization, software-defined anything (SDx) and network functions virtualization, network slicing, RAN decomposition, fixed-mobile network convergence, network and computing data analytics.
Dr. Javier Rubio-Loyola
Dr. Ramón Agüero
Dr. César Augusto Azurdia Meza
Guest Editors
Manuscript Submission Information
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Keywords
- B5G and 6G
- software-defined networks
- artificial intelligence
- machine learning
- slicing
- network function virtualization
- service orchestration
- edge/cloud/fog computing