With 5G enabled vehicular communications and networking, connected vehicles have been envisioned to significantly enhance transportation efficiency, reduce incidents, improve safety, and mitigate the impacts of traffic congestion. However, vehicular environments are inherently challenging, for instance, due to doubly-selective physical channels and ever-hanging network connectivity and topologies. Therefore, many 5G cellular technologies cannot be directly employed or will suffer from obviously performance degradation in vehicular networks. In addition, vehicles are often constrained in computations, storage, and radio spectrum resources. As such, there have recently been unprecedented efforts and results which will be essential in bringing to reality the many demanding vehicular applications such as multimedia entertainment, vehicular social networking, and real-time wireless networked vehicle control.
This feature topic issue is dedicated to highlight some of these emergent works including novel ideas, models, methodologies, system designs and architectures, experiments and benchmarks, as well as research surveys pertaining to various aspects of 5G enabled vehicular communications and networking. In order to promote and expose these research activities to the China Communications readership, we solicit contributions for a Feature Topic on “5G Enabled Vehicular Communications and Networking” scheduled for July 2018.
Submission Deadline: February 15, 2018
Acceptance Notification (1st round): April 15, 2018
Minor Revision Due: May 1, 2018
Final Decision Due: May 15, 2018
Final Manuscript Due: June 1, 2018
Publication Date: July 15, 2018
Rongqing Zhang, Colorado State University, USA.
Shanzhi Chen, Datang Telecom Technology & Industry Group, China.
Jia Li, Oakland University, USA.
Liuqing Yang, Colorado State University, USA.
Hongwei Zhang, Wayne State University, USA.
TOPICS OF INTEREST INCLUDE, BUT ARE NOT LIMITED TO, THE FOLLOWING:
1. 5G enabled vehicle-to-X (V2X) communications
2. Intra-vehicle communications (wireless or wired)
3. Radio technologies for V2X communications (radio resource management, propagation models, antennas, etc.)
4. Protocols for 5G enabled vehicular networks (MAC layer, routing, mobility management, dissemination, transport, applications etc.)
5. Architectures, algorithms, and protocols for data dissemination, processing, and aggregation in 5G enabled vehicular networks
6. Cloud computing and big data techniques for novel vehicular applications with 5G cellular networks
7. Security and privacy in 5G enabled vehicular networks
8. Network and QoS management for 5G enabled vehicular networks
9. Simulation and performance evaluation techniques for 5G enabled vehicular networks
10. Testbed, implementation, and deployment for 5G cellular based vehicular networks
11. Impact assessments of 5G cellular enabled vehicular networks on safety, transportation efficiency, and the environment
12. Communications and optimization related to electric and hybrid vehicles
13. Heterogeneous networking approaches (multi-radio, multi-application)
14. 5G enabled vehicular cloud networking
This feature topic “5G Enabled Vehicular Communications and Networking” seeks original, UNPUBLISHED research papers reporting substantive new work in various aspects of topics above. Papers MUST clearly indicate your contributions to the topic field and properly cite related work in this field.
● an abstract of about 150 words
● 3-8 keywords
● original photographs with high-resolution (300 dpi or greater); eps. or tif. format is preferred
● sequentially numbered references. The basic reference format is: author name, "article name", issue name (italic), vol., no., page, month, year. for example: Y. M. Huang, "pervateture in wireless heterogeneous…", IEEE Journal on Selected Areas, vol. 27, no. 5, pp 34-50, May, 2009.
● brief biographies of authors (50-75 words)
● contact information, including email and mailing addresses
Please note that each submission will normally be approximately 4500 words, with no more than 20 mathematical formulas, accomplished by up to 10 figures and/or tables.