Scope
It has been envisioned that future space network will go beyond the network connectivity to support ubiquitous computing and intelligence services, including earth observation, natural disaster predictions, deep space exploration, etc. By integrating communication and computation capabilities into the space networks, space computing power network (Space-CPN) stands out as a disruptive technology to seamlessly integrate communication, computation, and intelligence, thereby improving the timeliness, effectiveness, and trustworthiness of space information processing. Unlike conventional space communications networks, the Space-CPN will be transformative and revolutionize the evolution of space networks from “space connectivity” to “space intelligence”. Space-CPN technology will serve as a multilayer satellite-based distributed computing platform to accelerate the evolution of communication strategies, architectures, protocols, resource allocations, and application scenarios in space networks. However, Space-CPN will cause task-oriented data traffic flows over space networks with highly dynamic topologies, for which structured information theory, disruptive network architectures, and large-scale resource orchestration methods need to be developed. The challenges for building Space-CPN ecosystems are multidisciplinary spanning across information theory, learning theory, computer science, space science, domain applications, and regulations. The goal of this workshop is to bring together researchers and experts from academia and industry to consider space computing and communication opportunities across theoretical, algorithmic, systematic, hardware, software, and entrepreneurial considerations to embrace the exciting era of space computing and intelligence.
Topics
We solicit original contributions previously unpublished and not currently under review by any other journal/conference. Topics of interest include, but are not limited to:
- Network information theory for communication and computation in space networks
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Task modelling and decomposition theory for space computing power networks
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Task-oriented communication and coding theory for space computing
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Architectures for computing and space network convergence
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Hierarchical learning and computing architectures over space networks
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Hardware architectures for communication and computation integration
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Brain-inspired computing and learning in space networks
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Service-driven resource allocation for space-air-ground heterogeneous network
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Computing, communication, and intelligence co-design over space networks
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Machine learning for space network optimization
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Digital twin for space network modelling
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Satellite-based distributed learning and inference
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Foundation model pre-training, fine-tuning, and inference over space networks
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End-edge-cloud computing over space-air-ground integrated networks
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Privacy and security in space computing power networks
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Experimental testbeds for space computing power networks
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Application scenarios in computing and space network convergence
Important Dates
- Paper submission deadline: August 5, 2024
- Acceptance announcement: September 1, 2024
- Final paper submission: October 1, 2024
Submission Link
