DT 2023 : Digital Twins for Wireless Networks - Overview, Architecture, and Challenges
Call For Papers
Call for Book Chapters
Digital Twins for Wireless Networks - Overview, Architecture, and Challenges
Publisher: Springer Nature
The sixth-generation (6G) communication systems are anticipated to provide network connectivity for an extensive range of use cases in a variety of emerging vertical industries. Consequently, a new set of challenging requirements and more stringent key performance indicators have to be considered, a novel architecture has to be designed, and unique enabling technologies shall be developed in order to fulfil the technical, regulatory, and business demands of the communication service customers.
6G networks are expected to offer even faster speeds, lower latency, and greater capacity compared to 5G networks, which will enable new applications and use cases that are currently not possible. Improved quality of life by enabling various applications (emerging Internet of everything applications) such as healthcare, brain-computer interactions, and extended reality is the main focus of future wireless services. Quality of experience, latency, and reliability are the key requirements of these applications. To meet these diverse requirements there is a need to assist wireless systems with unique technologies. Self-sustaining wireless systems (intelligence, seamless and ubiquitous connectivity) and proactive-online-learning-enables systems (Intelligent analytics) are two trends in future wireless systems. The digital twin technology is one of the most promising technologies that can be instrumental in realizing the technical and business objectives of 6G communication systems.
A digital twin is a virtual imitation of a physical object or system. In a wireless system, a digital twin can be used to model and analyse the behaviour of the network and its components, such as antennas, transmitters, receivers, sensors, and other devices in wireless networks. One of the key benefits of using a digital twin for a wireless system is that it can help network operators and engineers to optimize the performance of the wireless network by simulating different scenarios and configurations. Other benefits include improve efficiency, cost saving, and enhanced security. In 6G networks, a digital twin could be used to simulate and optimize the performance. This could include simulating different network topologies, testing the performance of different network protocols and algorithms, and optimizing the placement of network infrastructure.
To create a digital twin of a wireless network, a detailed model of the network and its components must be developed, based on real-world data and conditions. This model can then be used to simulate the behaviour of the network under different conditions and settings and to visualize the results in real time.
2. The Objective of the Book
We aim to deliver a book that can highlight the concepts, solutions, applications, architecture, and challenges of Digital Twin for 6G networks. We shall first present challenges related to digital twin. As a next step, the solution to those problems, using advanced and innovative tools and techniques for emerging wireless networks will be presented. We believe that our proposed book can serve as a basis to understand the essentials of the use of digital twin in wireless systems. This book will guide new researchers and students to better understand the nature of problems in digital twin, their suitability solutions, and the potential for future research in this field.
3. Topics of Interest
• Section I: Overview of Digital Twin, Architecture, and Applications
o Digital Twin Concepts, Architecture, Solutions, and Applications for Wireless Networks
• Section II: Digital Twin-assisted 6G Networks
o Digital Twin for Core Network and Edge Computing
o Digital Twin for UAV Networks
o AI/ML for Digital Twin-assisted Wireless Networks
o Digital Twin and Internet of Things
• Section III: Security and Privacy in Digital Twin-assisted 6G Networks
o Security Attacks in Digital Twin-Enable Wireless System
o Privacy Issues in Digital Twin for 6G Networks
o Blockchain for Digital Twin
• Section VI: Case Studies for Digital Twin for Wireless Networks
o Digital Twin Objects Design
o Digital Twin Prototyping
o Digital Twin Deployment Trend
4. Submission Procedure:
Researchers, developers and practitioners are invited to submit their chapter proposals/abstracts
(1 page in PDF format) on or before July 20, 2023 to firstname.lastname@example.org
Please provide the following points in your proposals/abstracts:
1) Title of the contribution
2) Name of author, co-authors, institution, and email-address
3) Content of the proposed chapter
4) How the contribution fits into the book
Authors of accepted proposals will be notified by July 30, 2023 about the status of their proposals.
5. Full Book Chapter:
Complete chapters are expected to be submitted by September 30, 2022.
• Guidelines on how to prepare the full book chapter will be provided upon acceptance of the chapter proposal.
• All submitted chapters will be reviewed on a double-blind review basis.
• Contributors may also be requested to serve as reviewers for this project.
6. Important Dates:
The following timeline is anticipated:
• Proposal Submission Deadline: 20 July 2023
• Notification of Acceptance: 30 July 2023
• Full Chapter Submission: 30 September 2023
• Review Results Returned: 30 October 2023
• Revised Chapter Submission: 15 November 2023
• All inquiries are invited to send email to email@example.com, firstname.lastname@example.org, and email@example.com
8. Editorial Team
Name: Muhammad Khalil Afzal (firstname.lastname@example.org)
Position and Affiliation: Associate Professor, Department of Computer Science, COMSATS University Islamabad, Wah Campus, Pakistan
Name: Muhammad Naeem (email@example.com)
Position and Affiliation: Associate professor, Department of Electrical Engineering, COMSATS University Islamabad, Wah Campus, Pakistan
Name: Waleed Ejaz (firstname.lastname@example.org)
Position and Affiliation: Associate Professor, Department of Electrical Engineering, Lakehead University, Barrie Campus, ON, Canada