Advancements in AI-enabled Telecom Networks.

The integration of Artificial Intelligence (AI) into the development of 6G networks represents a leap in the telecommunications technology. 6G is envisioned to surpass the already impressive capabilities of 5G, with AI playing a central role in its evolution. AI in 6G networks is expected to enable incredibly high data rates, possibly reaching terabits per second, and near-zero latency, which will be fundamental for technologies like holographic communications and advanced augmented reality. The predictive capabilities of AI will also be crucial for optimizing network operations and resource allocation, allowing 6G networks to dynamically adapt to changing conditions and user demands in real-time. Furthermore, AI could enable more intelligent and autonomous network management, reducing the need for human intervention and allowing for more eVicient and secure communication systems. The symbiosis of AI and 6G is also anticipated to facilitate breakthroughs in edge computing, enhancing data processing capabilities at the network's edge. This integration is not just an upgrade in speed or bandwidth; it's a transformation that could redefine connectivity, enabling new applications in fields such as telemedicine, autonomous systems, smart cities, and beyond, ultimately shaping the future of digital communication and its impact on society.

The aim of this workshop is to advance the research in the field of AI-enabled 6G, exploring the opportunities, challenges, and future directions for leveraging AI in the realm of wireless communications. The papers of this workshop will contribute to advancing the understanding and adoption of AI in revolutionizing the wireless communication infrastructure, paving the way for a smarter, more eVicient, and inclusive wireless future.

Organizers:

• Lina Bariah, Khalifa University, UAE
• Merouane Debbah, Khalifa University, UAE
• Christina Chaccour, Ericsson, USA
• Brigitte Jaumard, ConfianceIA, Canada

Workshop Format:

• Duration of the workshop: Half-day

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  Tentative schedule:
• Keynote speech
• Technical session I (3 technical papers)
• Technical session II (2 invited papers)
• Industrial Panel Discussion

Topics of interest include, but are not limited to:

• Generative AI for Telecom
• On-device LLM
• AI-enabled integrated sensing & communication
• AI-enabled internet-of-senses
• AI for wireless sensing
• AI for wireless transmission
• Improved beamforming and handover through AI
• Security and privacy in AI-enabled Telecom
• AI for resource allocation and quality of service optimization
• AI for network performance prediction
• AI for network protocol design
• AI for spectrum management
• AI for Self-Synthesizing Networks
• Wireless Networks for AI
• Machine-to-machine AI

SUBMISSION GUIDELINES

Submissions of original unpublished papers are solicited. Papers will be reviewed on novelty, significance and contribution to the body of knowledge, correctness, and clarity. We expect all papers to provide adequate detail to enable reproducibility of their experimental results. They should be in pdf IEEE 2-column conference style, limited to five (5) pages. The DRCN 2024 conference is technically Co-Sponsored by the IEEE Communications Society. All accepted and presented papers will be included in the DRCN 2024 proceedings and will be subsequently submitted to IEEE Xplore for publication. At least one author is required to register, at the full rate, to present accepted papers at the conference and for the paper to appear in the conference proceedings and in IEEE Xplore. Authors must submit their papers electronically through EDAS using the link: https://edas.info/newPaper.php?c=32105

IMPORTANT DATES

• Deadline for workshop paper submission: March 6th, 2024 March 15, 2024 (extended)
• Acceptance/rejection notification: March 22, 2024 April 1st , 2024 (extended)
• Final workshop papers due: March 25, 2024 April 5th , 2024 (extended)
• Conference: 6 May - 9 May 2024