Feature Topic Vol.19, No. 2, 2022——Brain-Computer-Interface Inspired Communications
Call for Paper -- Feature Topic Vol.19, No. 2, 2022
Brain-Computer-Interface Inspired Communications
Following the massive commercialization of 5G mobile communication systems, both academia and industry are initiating research activities to shape the next-generation communication systems, namely, 6G. Although the detailed killer-applications and key technologies of 6G have not been clearly defined yet, it is commonly expected that 6G will provide hyper-coverage and hyper-connectivity. Enabled by these capabilities, the 6G communication systems are especially aiming at improving the user’s experience greatly, or more ambitiously, to change the way of human’s everyday life. So far, many new services with more stringent requirements, such as truly immersive extended reality (XR), high-fidelity mobile hologram, and digital replica, are expected to be satisfied by the 6G communication systems.
In recent years, brain-computer-interface (BCI) technologies have achieved extraordinary progress. A BCI, which is also called a brain-machine interface (BMI), is a direct communication pathway between the brain and an external device. The BCIs are often directed at assisting, augmenting, or repairing human cognitive or sensory-motor functions. The latest report shows that the transmission rate by the BCIs can achieve more than 5bits/s, which means in online typing applications, the people using BCIs are comparable with those using fingers. We can anticipate that empowered by advanced BCIs in the future, people will express their commands or desires more directly and conveniently.
The fast and reliable transmission is the key performance indicator of BCIs. Beside the neural and brain technologies, the main technical challenges of BCIs come from the brain communication theory and the advanced decoding algorithms for brain signal. In the past, the neuroscientists often use very basic communication technologies for BCIs. However, as the BCIs attracting more attentions, more advanced communication technologies for the brain channel are emerging.
Inspired by the above, this feature topic welcomes submissions of high-quality research papers capturing the state-of-the-art advances in the theoretical foundations and practical implementations of BCI communications. Prospective authors are cordially invited to submit their novel results on topics including but not limited to:
● Information theoretic foundations for BCI communications
● Brain as a channel characterization, modeling and measurements for BCI communications
● Modulation, waveform design and coding for BCI communications
● Artificial intelligence aided detection and decoding of brain signals
● Multiple-input multiple-output (MIMO) BCI communications
● Multiple-access schemes for BCI communications
● Protocol and algorithm design for Internet of brain
● Prototypes, testbeds, and experimental results for BCI communications
● Application scenarios design and requirement analysis for BCI communications and Internet of brain
SCHEDULE
Submission Deadline: July 30, 2021
Acceptance Notification (1st round): September 15, 2021
Minor Revision Due: October 31, 2021
Final Decision Due: November 30, 2021
Final Manuscript Due: December 5, 2021
Publication Date: February 15, 2022
GUEST EDITORS
Honglin Hu, Shanghai Advanced Research Institute, Chinese Academy of Sciences, China
Xianfu Chen, VTT Technical Research Centre of Finland, Finland
Tao Jiang, Huazhong University of Science and Technology, China
SUBMISSION GUIDELINES
This feature topic “Brain-Computer-Interface Inspired Communications” welcomes submissions of high-quality novel research results capturing the state-of-the-art advances in the theoretical foundations and practical implementations of BCI communications. 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 http://mc03.manuscriptcentral.com/chinacomm, then go to the author center and follow the instructions there. Remember to select “Feature Topic: Brain-Computer-Interface Inspired Communications, FebruaryIssue 2022” as 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: 2020-11-26
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