Scope and Topics
The traditional approach of “the higher the better, and the more the merrier” in communication engineering is no longer sustainable for 6G due to hardware limitations and increasing networking costs. Alternatively, recent advances in artificial intelligence (AI) and on-device computing technologies offer new opportunities for intelligent devices at the edge of 6G networks. Semantic communication (SC) is an emerging paradigm of communication and networking that leverages these capabilities, allowing distributed AI-native edge devices to maximize their task-specific effectiveness by understanding and manipulating the semantics of transferred bits. While promising, SC is in its infancy, and faces significant challenges. Existing SC studies often focus on PHY layers in point-to-point scenarios, ignoring 6G architecture compatibility. MAC and higher layers for SC as well as large-scale network issues remain still unexplored. Furthermore, arguably due to the ill-defined notion of semantics, the current SC frameworks are severely fragmented.
Towards shaping what 6G SC will be, this workshop solicits novel works on SC and their networking and edge computing issues. Topics of interest include, but are not limited to:
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Deep learning based SC frameworks and applications (e.g., DeepSC and DeepJSCC)
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Timing based SC analysis and applications (e.g., age of incorrect information, urgency of information, query age of information, and value of information)
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Knowledge base assisted SC frameworks and applications (e.g., knowledge graphs, structured causal models, probabilistic logic, and GFlowNet)
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Game-theoretic and reinforcement learning based SC frameworks and applications (e.g., signaling games, rational speech act models, coordinative multi-agent reinforcement learning)
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Communication/machine learning principles and mathematical theories for SC (e.g., source-oriented rate-distortion theory, variational information bottleneck principles, and enriched category theory)
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Novel metrics for evaluating semantic information and SC performance (e.g., semantic entropy, causal influence of communication, context independence, and structural intervention distance)
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Semantic MAC protocols and applications (e.g., protocol learning, causal and symbolic protocols)
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SC network architectures and cross-layer designs (e.g., IE-SC, FEI, and HCP)
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AI-native/model-based networking frameworks for SC (e.g., protocol learning and intent-based networking)
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Human/machine-centric and human-machine interactive SC frameworks and applications
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Experimental/simulation designs for SC and use cases
Important Dates
• Submission deadline: July 15, 2023 July 29, 2023 (extended)
• Notification of acceptance: September 15, 2023
• Camera Ready: October 7, 2023
Submission Link
https://edas.info/newPaper.php?c=31218
Workshop Chairs
- Jihong Park, Deakin University, Australia
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Jinho Choi, Deakin University, Australia
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Seong-Lyun Kim, Yonsei University, Korea
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Seung-Woo Ko, Inha University, Korea
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Zhijin Qin, Tsinghua University, China
*Contact: Jihong Park (jihong.park at deakin.edu.au)
*Link to the 2nd edition of SC6G (in conjunction with SECON'23): https://sites.google.com/view/sc6g-secon23
*Link to the 1st edition of SC6G (in conjunction with APCC'22): https://sites.google.com/view/sc6g
