Call for Workshop Proposals – EAI IoTaaS 2025

Artificial Intelligence Enhanced Integrated Sensing and Communications

Introduction

Despite significant progress in current research process on ISAC, there are still notable shortcomings in practical applications. Firstly, existing ISAC systems exhibit limitations in information processing and analysis, especially when dealing with largescale data. The processing latency and precision can hardly meet the demands of real-time applications. Secondly, ISAC systems struggle with resource scheduling and transmission strategy decision-making in large-scale networks and lack the capability to intelligently adapt to time-varying network environments and task requirements, which could result in resource wastage and network congestion. Additionally, ISAC systems may encounter privacy and security concerns during the data processing stage, particularly in sensitive domains like healthcare and transportation.

Proposal Content

Format

Integrated sensing and communication (ISAC) is a pivotal technology for future sixth generation (6G) communications. It aggregates wireless sensing and communication functionalities into one system while sharing spatial, temporal, and frequency resources. Due to its potential of enhancing spectral, energy, as well as hardware-efficiency, the ISAC technique is currently receiving considerable attention from both industry and academia. Despite significant progress in current research process, there are still notable shortcomings in practical applications. To overcome these limitations, artificial intelligence (AI) technologies are introduced to enhance the ISAC system performance. The utilization of AI technologies, including deep neural network (DNN), convolutional neural network (CNN), deep reinforcement learning (DRL), and so on, has significantly advanced sensing and communication, which offers potent solutions to tackle ISAC system challenges. It is envisioned that leveraging the robust data processing, learning, and reasoning capabilities of AI, ISAC systems are able to achieve improved real-time responsiveness, adaptability, and security in complex environments, better meeting the increasing demands of future novel services.

Topics and scope:
General System Framework and Opportunities
Multimodal Data Sensing and Fusion
Collaboration between Communication and Sensing Functionalities
ISAC Beam Design
Environmental Adaptation
Privacy Protection of Sensing Data

The criteria for assessment will include:

– Relevance to conference vision/topics and attendees
– Potential to bring in participants to the conference from different audiences
– Overall quality of contribution
– Provides a hands-on, collaborative, and/or active learning environment for attendees

Workshop publication

The workshop will take approximately 3 hours. No additional equipment or software, except for the standard presentation setup (projector/display, power outlets, internet via WiFi) is provided by the organizers. The participants are encouraged to bring their own laptops or other necessary equipment. Accepted and presented papers will be published alongside the main conference proceedings as a sub section/chapter. Paper formats should, therefore, correspond to the templates of the publisher of the main conference.

Organizers

Professor Jin Tian, who received a doctor’s degree from the National Laboratory of Mobile Communications, has been engaged in the application research of mobile communication technology in the fields of transportation and industrial manufacturing for a long time. At present, ISAC is mainly studied.

Rongfang Song is the second highest professor in the field of communication at Nanjing University of Posts and Telecommunications, China. He has been engaged in research on physical layer of mobile communication for a long time.

Zaichen Zhang, Professor of the National Mobile Communications Research Laboratory, China. Current research direction: visible light communication
technology for 6G.

Jing Liu, associate professor, holds a doctorate in radar. She is currently engaged in ISAC research.

Shangjing Lin, received a doctor’s degree in the field of communication from Beijing University of Posts and Telecommunications, China, and worked at Beijing University of Posts and Telecommunications, mainly engaged in the research of user service model and communication resource allocation.