Riding with AI towards Mission-Critical Communications and Computing at the Edge (AIMCOM²)

Aim and Scope

The ever-growing mission-critical services, like the Internet of vehicles, AR/VR and haptic communications, have sprung recently and required the communications and computing framework to be more reliable, efficient and secure. However, it raises severe challenges due to the spatial and/or temporal diversity of the entities possibly involved in communications and computing, such as the possibly high mobility of nodes, the varying and uneven-distributed number of devices, and the limitations of propagation media and other resources. To address these challenges, one potential solution is to provision at the edge (i.e., in proximity of end devices), where the demands from end devices can be served locally in real-time, rather than being served by the remote cloud through latency-plagued core networks. But the occurrence of mobile edge poses many new challenges in terms of deployment, management and coordination of the heterogeneous and distributed resources.

The artificial intelligence (AI) for mission-critical communications and computing is expected to fundamentally address these increasing challenges. Various issues like edge intelligence, AI-assisted PHY design, AI-based resource management are being explosively explored to shorten the transmission latency. Approaches like federated learning and distributed learning are being heavily investigated for superior performance of communications and computing at the edge as well. Faced with security concerns, the interpretability of AI in the context of communications and networks is also a fast-developing hot topic.

This workshop will explore the state-of-the-art theory and the systems research in this field. We invite researchers to contribute their novel research results that advance the development of mission-critical communications and computations at the edge.

Topic of Interests

This workshop will explore the state-of-the-art theory and the systems research in AI-powered mission-critical communications, networking and computing. Topics of interests include, but not limited to:

• Edge intelligence for mission-critical communications and networking
• AI-assisted PHY design for mission-critical communications
• AI-based resource management for mission-critical communications and computing
• Trustworthy AI for mission-critical communications and networks
• Network slicing for mission-critical service provisioning
• Distributed Learning for mission-critical computing
• Evolutionary models for mission-critical communications and computing
• Learning theory for mission-critical communications and computing
• Age of information theory and algorithm for mission-critical communications and computing

Important Dates

Paper submission deadline	June 26, 2020 Extended to July 17, 2020
Notification of acceptance	August 3, 2020 Extended to August 20, 2020
Camera ready copy due	August 24, 2020
Workshop date	October 13, 2020

Workshop Organizers

Workshop Chairs

Jon Crowcroft (Cambridge University, UK)
Shuguang Cui (The Chinese University of Hong Kong (Shenzhen), China)
Hulya Seferoglu (University of Illinois at Chicago, USA)

Workshop Technical Program Committee Chairs

Rongpeng Li (Zhejiang University, China)
Salim El Rouayheb (Rutgers University, USA)
Venkat Dasari (CCDC Army Research Laboratory, USA)
Meddhi Bennis (University of Oulu, Finland)
Macro Di Renzo (CentraleSupelec, France)

Workshop Publicity Chairs

Xianfu Chen (VTT, Finland)
Guoru Ding (Army Engineering University, China)

Submission Guidelines

All submitted papers must adhere to https://icnp20.cs.ucr.edu/submission.html instructions for format except in the following aspects.

Submissions must be original, unpublished work, and not under consideration at another conference or journal. Submitted papers must be no longer than six (6) pages, including all figures, tables, followed by as many pages as necessary for bibliographic references. Submissions should be in IEEE Computer Society format, and include authors’ names and affiliations for single-blind peer reviewing by the PC. Authors of accepted papers are expected to present their work at the workshop. Papers accepted for presentation will be published in the IEEE Xplore. Please submit your paper via https://aimcom2.hotcrp.com

TPC Members

Balajee Vamanan (University of Illinois at Chicago, USA)
Yasaman Keshtkarjahromi (Seagate, USA)
An Liu (Zhejiang University, China)
Qingjiang Shi (Tongji University, China)
Guanding Yu (Zhejiang University, China)
Shunqing Zhang (Shanghai University, China)
Chungang Yang (Xidian University, China)
Tao Chen (VTT Technical Research Centre, Finland)
Kyunghan Lee (Seoul National University, Korea)
Sheng Zhou (Tsinghua University, China)
Celimuge Wu (The University of Electro-Communications, Japan)
Boya Di (Imperial College London, UK)
Omer Sella (Cambridge University, UK)

Coronavirus update:

Based on the feedback from the ICNP community, ICNP 2020 proceeds as a hybrid event where a majority of the attendees are expected to participate online only, and a minority are willing and able to attend in person. The in-person component of the conference will be conducted in Madrid according to the best infection-prevention practices. Please contact the General Chair if you have any questions.

For further questions please contact the workshop organizers.