Intelligent Communication and Computing Lab
Research Field
Li-Chun Wang (M'96 -- SM'06 -- F'11) received Ph. D. degree from the Georgia Institute of Technology, Atlanta, in 1996. From 1996 to 2000, he was a Senior Technical Staff Member at AT&T Laboratories. Since August 2000, he has joined National Yang Ming Chiao Tung University (NYCU) in Taiwan. He is now the Chair Professor and serves the Dean of College of Electrical and Computer Engineering of NYCU.
Dr. Wang was elected to the IEEE Fellow in 2011 for his contributions to cellular architecture and radio resource management in wireless networks. He won two Distinguished Research Awards from National Science and Technology Council (2012, 2017), IEEE Communications Society Asia-Pacific Board Best Award (2015), Y. Z. Hsu Scientific Paper Award (2013), and IEEE Jack Neubauer Best Paper Award (1997). He was recognized as Top 2% Scientists Worldwide in a study from Stanford University.
His recent research interests are in the areas of cross-layer optimization for wireless systems, AI-enabled radio resource management for heterogeneous mobile networks, and big data analysis for industrial Internet of things. He holds 26 US patents, and has published over 300 journal and conference papers, and co-edited the book, “Key Technologies for 5G Wireless Systems,” (Cambridge University Press 2017).
Professor Wang's research focuses on the design of base station architecture, and resource management with energy conservation and sustainability while improving the capacity of wireless communication base station systems. Professor Wang's important research technologies in various generations of wireless communication, such as Hierarchical Cellular Architecture, Network Multiple Input Multiple Output (MIMO), Data-Driven Green Ultra-Dense Small Cells, and 3D UAV Base Stations, and the award-winning history are as follows
- 2G, 3G, and 4G era: The coverage of base station architecture design and resource management technology research will evolve and expand with different generations. In the early 2G and 3G generations, Professor Wang mainly focused on the physical layer (Physical Layer ) directional antenna cell architecture design, stepping into the medium access control (MAC) technical field in the 4G era, discussing how to design scheduling technology (Scheduling) when the intelligent antenna base station serves multiple users at the same time, To allow multiple users to be relatively fair and relatively energy-saving, combined with intelligent antennas in the entire coverage area of the base station, the broadband services provided by the multi-antenna parallel transmission capability can be provided.
- 5G era: In the 5G, the network virtualization technology in the information field plays a critical role in the 5G system. Through the software-defined network (Software Defined Network, SDN), the software and hardware of the wireless network are shunted. The control platform of the software part is responsible for judging how to send traffic to the destination. At the same time, the hardware is only accountable for data forwarding, thus improving speed and flexibility and allowing wireless networks to provide many innovative network services programmatically.
- Professor Wang began to study the technology of the network layer in 2010, respectively implemented the Ministry of Science and Technology to promote the planning subsidy plan " Cloud Computing and Communication Application Service Platform " (2010~2012), the national science and technology plan " Intelligent multi-sensing mobile device cloud service " (2012~2013), and co-chair the industry-university technology alliance cooperation project " Wireless Broadband Technology and Services Based on SDN and Cloud Architecture " (2014~2016), so in software definition In the field of fifth-generation mobile communication (SDN-enabled 5G), important research achievements have been accumulated, such as Network Slicing for Heterogenous Cloud Radio Access Network and Deterministic QoS Control in SDN by Network Calculus, etc.
- In terms of base station architecture research, in addition to cloud radio access network (Cloud Radio Access Network), research on the interference and energy saving of ultra-dense small cells system (Ultra-dense Small Cells). Because the 5G system uses Millimeter Wave Communications (Millimeter Wave Communications) technology, although the millimeter wave frequency band is relatively abundant and uncrowded, the price is that the transmission distance of the millimeter wave radio and the microwave frequency band will be shorter under the same power, and there is a high probability that it will be affected by buildings or terrain. Therefore, densely deploying base stations or increasing the transmission power of base stations has become a significant problem in the 5G system. Using a data-driven approach, we will first establish a data analysis model for the complex base station co-frequency interference issue and cooperate with machine learning technology to propose a systematic energy-saving and interference elimination solution.
- Professor Wang also co-chaired the Taiwan-EU H2020 international cooperation project "5G-DIVE: eDge Intelligence Vertical Experiment" (2019~2021), combining artificial intelligence with network and communication to explore low-latency The combination of communication technology and image recognition applied to 5G wireless networks, during the development of the technology of Transparent Service Continuity in Container-based Orchestrated Edge Networks.
- Post-5G and 6G era: In the post-5G or 6G era, the base station technology has an exciting and vital development. In addition to the base station on the ground, the so-called Non-Terrestrial Network (NTN) technology includes satellite communication and an air base station. Wait, a lot of attention has been paid. Because the UAV base station can be dynamically deployed according to the demand, which conforms to the principle of Network on Demand, it not only will not waste energy and will not cause environmental damage due to the construction of the base station but how to make the UAV base station fly stably and sustainably? Long-term, accurate positioning and long-distance transmission are significant challenges. At the same time, because of the rise of artificial intelligence technology, these difficulties can be overcome.
- Professor Wang won the AI Foresight Project of the Ministry of Science and Technology "Intelligent Communications and Networking Technologies for Drone-Cells – ANGEL Flying Base Station" (2018-2021) and finally won the 2021 Future Science and Technology Award of the Ministry of Science and Technology.
At present, Professor Wang has also obtained a special research project from the Ministry of Science and Technology to develop the AI-Native Green Radio Access Network (RAN) Intelligent Controller technology, to provide privacy-confidential and energy-saving wireless Metaverse services. In this research, some breakthrough contributions have been made, and various awards at home and abroad have also been won. In the 6G generation, combined with AI and wireless communication systems and networks, we will continue to contribute and train interdisciplinary talents in information and communications. Strive for industry-university co-creation opportunities, expand research influence, and contribute to national development.
Broadband Wireless Communication
Machine Learning Wireless Communication
Drone Communication Network
Smart Internet of Things (IoT) and Big Data Analysis
Professor Wang’s forward-looking research on information and communication technology takes into account both academic theory and practicality, based on mathematical tools, and actively contributes to the problem of high capacity of automotive mobile communication systems. From the second-generation TDMA system, the third-generation CDMA system, the fourth-generation OFDMA system to the fifth-generation ultra-high-density small-cell base station system, he continues to propose innovative and high-value technical solutions. Recently, he has carried out cross-disciplinary research, entering the field of network information and artificial intelligence, researching software-defined networking (SDN) and network coding technology applications, data security technology, and grasping opportunities to use artificial intelligence to assist domestic manufacturers in smart manufacturing and Industry 4.0. His academic achievements are summarized as a summary of this application as follows:
International:
Internal:
Dissertation (15 items in total)
System thematic implementation (22 items in total)
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- Georgia Institute of Technology, Ph.D. EE, 1996
- Georgia Institute of Technology, Ms. Sci. EE, 1995
- National Taiwan University M.S. EE 1988
- National Chiao Tung University B.S., ECE,1986