The Workshop on Resource Allocation and Cooperation in Wireless Networks (RAWNET 2022) will be held in Singapore, on August 24th, 2023. RAWNET 2023 is one of the workshops of the 21th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (Wiopt 2023).

Location: Room SR903, NTU@one-north executive center, 11 Slim Barracks Rise, Singapore 138664

Workshop organizers

• Samson Lasaulce, CNRS, France

• Samir M. Perlaza, INRIA, France

• Vincent Y. F. Tan, National University of Singapore, Singapore

• Anne Savard, IMT Nord Europe, France 

• Chao Zhang, Central South University, China

Important dates

• Paper submission deadline: Extended to May 25th, 2023 (23:59 AoE)

• Acceptance notification: June 29th, 2023 (23:59 AoE)

• Camera Ready and Registration: July 15th, 2023 (23:59 AoE)

Keynote speaker

• Yin Sun, Auburn University, United States

Title: Timely Communications for Remote Inference and Estimation: A First Principles Approach

Abstract: The evolution of Artificial Intelligence, Control, and Communications technologies has given rise to a new era of networked intelligent systems, which include autonomous driving, remote surgery, real-time surveillance, video analytics, and factory automation. Real-time supervised learning is vital in these systems, where a trained neural network infers time-varying targets (e.g., the locations of vehicles and pedestrians) based on observations (e.g., video frames) captured by a sensing node (e.g., camera). Due to communication delay, the data delivered to the neural network may not be fresh, impacting both inference accuracy and overall system performance. In this talk, we will first examine the influence of information freshness on remote inference and estimation. One might assume that the inference and estimation errors degrade monotonically as the data becomes stale. However, by a local information geometric analysis, we reveal that this assumption is true when the time-sequence data used for remote inference and estimation can be closely approximated as a Markov chain; but it is not true when the data sequence is far from Markovian. Hence, inference and estimation errors are functions of the Age of Information (AoI), whereas the function is not necessarily monotonic. This analysis provides an information-theoretic interpretation of information freshness. The second part of the talk focuses on the design of communication systems optimized for remote inference and estimation. We introduce a novel "selection-from-buffer" model for data transmission, which is more general than the "generate-at-will" model used in earlier AoI studies. Low-complexity scheduling strategies are developed to minimize inference and estimation errors. Trace-driven evaluations demonstrate the potential of these communication strategies to reduce inference and estimation errors by up to 10-1000 times.

Bio: Yin Sun is an Assistant Professor in the Department of Electrical and Computer Engineering at Auburn University, Alabama. He received his B.Eng. and Ph.D. degrees in Electronic Engineering from Tsinghua University, in 2006 and 2011, respectively. He was a Postdoctoral Scholar and Research Associate at the Ohio State University from 2011-2017. His research interests include Wireless Networks, Machine Learning, Semantic Communications, Age of Information, Information Theory, and Robotic Control. He is also interested in applying AI and Machine Learning techniques in Agricultural, Food, and Nutrition Sciences. He has been an Associate Editor of the IEEE Transactions on Network Science and Engineering, an Editor of the Journal of Communications and Networks, an Editor of the IEEE Transactions on Green Communications and Networking, a Guest Editor of the IEEE Journal on Selected Areas in Communications for the special issue on "Age of Information in Real-time Systems and Networks," a Guest Editor of Entropy for the special issue on "Age of Information: Concept, Metric and Tool for Network Control," and a Guest Editor of Frontiers in Communications and Networks for the special issue on "Age of Information." He has served in the organizing committees of ACM MobiHoc 2019, 2021-2023, IEEE INFOCOM 2020-2021, IEEE/IFIP WiOpt 2020, IEEE WCNC 2021, and International Teletraffic Congress 2022 (ITC 34). He founded the Age of Information Workshop in 2018, served as the General Chair and TPC Chair of the workshop in 2018-2019, and has been a steering committee member of the workshop since 2020. He is currently organizing a new Workshop on Modeling and Optimization in Semantic Communications (MOSC) at WiOpt 2023 and serving as a Guest Editor of the IEEE Journal on Selected Areas in Information Theory for the special issue on "The Role of Freshness and Semantic Measures in the Transmission of Information for Next Generation Networks." His articles received the Best Student Paper Award of the IEEE/IFIP WiOpt 2013, Best Paper Award of the IEEE/IFIP WiOpt 2019, runner-up for the Best Paper Award of ACM MobiHoc 2020, and 2021 Journal of Communications and Networks (JCN) Best Paper Award. He co-authored a monograph Age of Information: A New Metric for Information Freshness, published by Morgan & Claypool Publishers in 2019. He received the Auburn Author Award of 2020 and the National Science Foundation (NSF) CAREER Award in 2023. He is a Senior Member of the IEEE and a Member of the ACM. His research is sponsored by the National Science Foundation, the Army Research Laboratory, the Office of Naval Research, and the United States Department of Agriculture.

Social event

Welcome reception on 24 August 2023 and social dinner on 26 August 2023 are also open to workshop attendees on our website. Please refer to social events for more details. 

Contact

Authors could contact workshop organizers for more information if needed.