WCCCT2026 solicits proposals for special sessions within the technical scope of the conference. Special sessions supplement the regular program of the conference and provide a sample of the state-of-the-art research in both academia and industry in special, novel, challenging, and emerging topics.

Special-session proposals should be submitted by the prospective organizer(s) who will commit to promoting and handling the review process of their special session as Chairs or Co-Chairs of the event. Please provide all the information requested when preparing your special-session proposal before submitting it. Any question, please contact wccct_conf@outlook.com

Papers submitted to special sessions will have to be evaluated and peer-reviewed along the very same criteria of the regular sessions. Accepted papers will be submitted for inclusion in WCCCT 2026 Conference Proceedings, which will be archived in IEEE Xplore, and submitted to be indexed by Ei Compendex and Scopus.

Proposals should include the following information:

● Title;
● Name(s) of organizer(s);
● Email of main contact person;
● Brief bio(s) of organizer(s);
● Brief description;
● Related topics;
● Potential participants;
● A draft of the CFP;
● Description of publicity and promotion plan;

Important Dates

Submission of Special Session Proposals: November 15, 2025
Notification of Proposals: November 20, 2025
Submission of Full Papers: December 20, 2025
Notification of Papers Review Result of Special Sessions: January 20, 2026

 

This special session focuses on cutting-edge advances at the intersection of wireless big data analysis, artificial intelligence, and intelligent communications. With the explosive growth of network-scale data, new methodologies are required to achieve accurate prediction, efficient resource management, and intelligent decision-making. The session invites contributions in areas such as spatiotemporal traffic analysis, machine learning for wireless systems, network digital twins, large language models (LLMs) for communication networks, federated learning, semantic communications, and AI-native 6G architectures. By bringing together researchers and practitioners, this session aims to foster dialogue on how AI, ranging from deep learning to foundation models, can reshape next-generation wireless networks toward enhanced efficiency, scalability, and intelligence.

Wireless big data analytics and spatiotemporal modeling
Topics of Interest (include but are not limited to):
● Machine learning and deep learning for wireless networks
● Large language models (LLMs) for network management and optimization
● AI-native 6G architectures and intelligent communication systems
● Semantic communications and AI-driven protocol design
● Federated learning and distributed AI for networks
● Network digital twins and data-driven simulation platforms
● Resource allocation, scheduling, and energy-efficient network control
● Traffic prediction and anomaly detection in communication networks
● Cross-domain and multimodal data fusion for wireless systems
● Edge intelligence and cloud–edge–device collaboration
● Security, privacy, and trust in AI-powered communication systems
● Applications of AI in IoT, vehicular networks, and industrial Internet

Special Session Organizer
Assoc. Prof. Chuanting Zhang, Shandong University, China
Email: chuanting.zhang@sdu.edu.cn
Research Areas: wireless traffic prediction, federated learning, intelligent communications

Please choose Special Session 1 to submit. Submission Link: https://www.zmeeting.org/submission/wccct2026