The International Special Section on Basic Theories, Key Technologies and Artificial Intelligence for Next-Generations Wireless Communications (BTKT-AI 2020)
With the emergence of new applications and services such as human-machine-things communication services, 4K and 8K video, virtual reality, clouding or edge computing, etc., the explosively growing demand for heterogeneous data service brings both challenges and opportunities to the next generation networks. It is a consensus that the traffic carried by wireless networks in 2025 will be largely increased than ever before, which has given birth to 6th generation (6G) mobile networks featured with higher user experienced data rate, high energy efficiency, extreme low latency experience, smooth control experience, etc.. Besides, massive entities including humans, machines and sensors need to be connected to the Internet due to the development of machine-to-machine (M2M) communication and the Internet of things (IoT), which brings challenges for the scalability of next generation networks.
In order to provide users with smooth service experience and improve the resource utilization of next generation networks, the emergence of new theories, architectures and technologies such as the mechanisms of cognition for wireless and actual environment, intelligence, adaption, self-optimization and control need to be investigated and implemented in the next generation networks. Moreover, artificial intelligence (AI), well known from computer science (CS) disciplines, are beginning to emerge in the wireless communications and have recently received much attentions. These AI approaches including Machine Learning (ML), Deep Learning (DL) and Reinforcement Learning (RL) approaches have been gradually applied to wireless communication systems for various purposes which extensively improve the performance of wireless communication systems. The new features of future communications, such as complex scenarios with unknown wireless environment, low latency and accurate processing requirements, bring much more potential application of AI. Moreover, it is important to distinguish new capabilities created by AI technologies and rethink wireless communication systems based on AI-driven schemes. Therefore, AI technologies have a great potential to meet the various requirements of seamless wide-area coverage, low-power massive-connections, low latency high-reliability, and many other scenarios.
This special section not only focuses on the state-of-the-art research of basic theories and their technologies, but also focuses on emerging AI technologies in wireless communications and signal processing. In this special section, we invite submissions of high-quality original technical and survey papers, which have not been published previously, on basic theories, key technologies, artificial intelligence techniques and their applications in wireless communication and signal processing.
Topics include, but are not limited to:
| Novel architecture of the next-generation Networks
Software defined networking (SDN) and virtual networks (VNS) 5G Massive MIMO for the next generation wireless communications NOMA for the next generation wireless communications RSMA for the next generation wireless communications Edge computing for the next generation wireless communications Unlicensed spectrum for the next generation wireless communications Heterogeneous networks for the next generation wireless communications Network slicing technologies for the next generation wireless communications Information centric networking for the next generation wireless communications Flexible Spectrum Sharing Technology Wireless Localization and Tracking |
Radar communication integration technology
AI based estimation and prediction methods on PHY applications AI based techniques for mm-Wave communications AI based channel estimation and modelling AI based modulation and coding for heterogeneous networks AI based technologies for signal modulation recognition AI based technologies for spectrum sensing AI based unmanned aerial vehicles (UAVs) communication AI based learning schemes for resource management AI based techniques for recognition: detection, categorization, indexing and matching AI based for intelligent reflecting surface AI based for wireless power transfer |
The special section organizers cordially invite submissions of original research work to The International Special Section on Basic Theories, Key Technologies and Artificial Intelligence for Next-Generations Wireless Communications (BTKT-AI 2020), in conjunction with The 13th EAI International Conference on Mobile Multimedia Communications, to be held on July 22-23, 2020 in Harbin, China. Paper formatting instructions can be found here. Please note that paper length is 6 pages, and the review process will be single-blind.
Special Section Organizers
- Dr. Sai Huang, Beijing University of Posts and Telecommunications, [email protected]
- Dr. Guo Xin, Zhengzhou University, [email protected]
- Dr. Chao Cheng, Changchun University of Technology, [email protected]
Important Dates
Special Section: TBA (one of the MOBIMEDIA 2020 conference days)
Location: Harbin, China (venue to be announced)
Paper Due: February 27, 2020
Paper Notification: April 15, 2020
Camera-ready Paper Due: May 15, 2020
Start of MobiMedia Conference: July 22, 2020
End of MobiMedia Conference: June 23, 2020