Call for Paper

Feature Topic Vol.19, No.8, 2022——Edge Intelligence for 6G Networks
Call for Paper -- Feature Topic Vol.19, No.8, 2022
Edge Intelligence for 6G Networks
With the rapid development of smart terminals and infrastructures, as well as diversified applications (e.g., autonomous driving, virtual and augmented reality, space-air-ground integrated networks) with colorful demands, current networks (e.g., 4G and 5G networks) may not be well suited to the requirements of novel applications and services. Recently, efforts from both the industry and academia have been made on the research into 6G networks, artificial intelligence (AI) will play a pivotal role in the design and optimization of 6G networks.
6G will support applications with more stringent requirements beyond the eMBB, uRLLC, and mMTC technologies, and will be designed to employ a wide spectrum of AI-empowered applications and services at various network edge nodes. Edge Intelligence (EI), as an emerging paradigm, has been considered as one of the key enabling technologies for future 6G networks. EI will unleash the full potential of communication, computing, caching, control with AI capability at various network edges for 6G networks.
Despite the great potential, edge intelligence poses many new challenges on its deployment and implementation in 6G networks. For example, since a large number of smart mobile devices and diversified AI services will be deployed in 6G networks, it is very challenging to manage and control the system in an efficient way to meet diverse requirements for these edge devices and services.
The objective of this feature topic is to explore recent advances on the theory, key techniques, and applications for edge intelligence for 6G networks. This feature topic will bring together leading researchers and developers to present their research on edge intelligence. Technique papers that present architectures, protocols, algorithms, prototypes, and implementations are welcome. Review articles in this area are also encouraged.
Edge AI-enabled wireless communications
Intelligent coordination of communication, computation, and caching for EI
 Edge AI-enabled radio resource management
Intelligent incentive mechanism for EI
Edge AI-enabled security and privacy provisioning
Distributed machine learning/deep learning algorithms for EI
Edge AI-enabled 6G heterogeneous network architecture
Testbed, Prototype, and experiments for edge intelligence 

Submission Deadline: February 20, 2022
Acceptance Notification (1st round): March 15, 2022
Minor Revision Due: April 10, 2022
Final Decision Due: April 30, 2022
Final Manuscript Due: May 15, 2022
Publication Date: August 15, 2022
Haifeng Zheng, Fuzhou University, China
Lin Gao, Harbin Institute of Technology, Shenzhen, China
Zhiyong Chen, Shanghai Jiao Tong University, China
Liang Xiao, Xiamen University, China
This feature topic “Edge Intelligence for 6G Networks” welcomes submissions of high-quality novel research results capturing the state-of-the-art advances in the theoretical foundations and practical implementations of edge intelligence for 6G networks. All submissions will be anonymously peer reviewed and will be evaluated on the basis of their technical content. Potential topics of interest include, but not limited to areas listed above.
Papers should be submitted in two separate .doc files (preferred) or .pdf files: 1) Main Document (including paper title, abstract, key words, and full text); 2) Title page (including paper title, author affiliation, acknowledgement and any other information related with the authors’ identification) through the Manuscript Central. Please register or login at, then go to the author center and follow the instructions there. Remember to select Feature Topic: Edge Intelligence for 6G Networks, AugustIssue 2022as your manuscript type when submitting; otherwise, it might be considered as a regular paper.
Each submission must be accompanied by the following information:
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.
Sequentially numbered references. The basic reference format is: author name, "article name", issue name (italic), vol., no., page, month, and 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

Pubdate: 2021-04-26    Viewed: [an error occurred while processing this directive]