Call for Papers
ZTE
Communications Special Issue on
Digital
Twin Online Channel Modeling for 6G and Beyond
Channel
theory is a fundamental theory of wireless communications. 6G wireless
communication is oriented to realize three-dimensional (3D) wide-area
space-air-ground-sea global coverage. Base stations and users tend to move in
3D continuous spaces, while antennas and propagation environments are deeply
coupled. This paradigm shift brings challenges to channel modeling, antenna
design, channel map construction and wireless transmission system optimization,
as well as novel air interface technologies and innovative algorithms. Digital
twin (DT), a virtual replica of physical systems, enables real-time monitoring,
analysis, and optimization for enhanced decision-making and operational
efficiency. Assisted by DT, it is possible to establish virtual mappings of
diverse physical systems including communication systems. This possibility
promotes the development of novel paradigms for channel modeling, contributing
to a more profound understanding of signal transmission processes in wireless
channels. Consequently, this approach furnishes more precise references and
guidance for emerging antenna optimization methods, novel air interface
technologies, and innovative algorithms. In a bid to ignite further innovation
and explore promising research avenues in this rapidly advancing field, this
workshop endeavors to engage global experts and professionals, seeking recent
advances in digital twin-assisted channel modeling and fostering a
collaborative environment for knowledge sharing.
This special
issue seeks high quality original articles on digital twin online channel
modeling for 6G and beyond. Topics of interest include, but are not limited to:
· DT-assisted
intelligent network deployment for 6G
· DT-assisted
edge intelligence for 6G
· DT-assisted
intelligent resource management for 6G
· DT-assisted
intelligent network slicing for 6G
· Network
traffic prediction with DT
· DT
network synchronization
· DT-assisted
AI and distributed learning
· Cooperative
AI model training/inference
· DT
enabling technologies for 6G
· DT-enabled
industrial IoT
· DT-enabled
intelligent transportation systems
Manuscripts
must be typed in English and submitted electronically in MS Word (or
compatible) format. The word length is approximately 4000 to 8000, and no more
than 10 figures and tables should be included. Authors are requested to submit
mathematical material and graphics in an editable format.
Please
submit your paper through the online submission system of the journal (https://mc03.manuscriptcentral.com/ztecom).
Creating an account is necessary for submission.
Guest Editors
Important Dates
Manuscript Preparation
Online Submission
