Welcome to

Aohan Li's Homepage

Aohan Li Assistant Professor

Department of Electrical Engineering

Graduate School of Engineering

Tokyo University of Science

6-3-1, Shinjyuku, Katsushika-Ku, Tokyo, 125-8585, Japan

TEL: 03-5876-1718

E-mail: aohanli@ee.kagu.tus.ac.jp

Research Interests

  • Internet of Things (Resource Allocation, Edge Computing, MAC Protocols)

  • Artificial Intelligence (Machine Learning, Deep Learning)

  • Cognitive Radio Networks (Spectrum Prediction, Channel Selection, Control Channel Establishment, Routing Selection)

  • Laser Chaos, Quantum Computing, Game Theory

Google Scholar

Earned Degrees

  • Ph.D., Information and Computer Science, Keio University, Tokyo, Japan, March 2020.

  • M.Eng, Signal and Information Processing, Heilongjiang University, Harbin, China, June 2015.

  • B.Eng, Electronic and Information Engineering, Heilongjiang University, Harbin, China, June 2012.

EMPLOYMENT HISTORY

  • Assistant Professor, April 2020–Present

Department of Electrical Engineering, Graduate School of Engineering, Tokyo University of Science

Publications

  • Journal Articles

  1. A. Li, G. Han and T. Ohtsuki, “A Fast Blind Scheme With Full Rendezvous Diversity for Heterogeneous Cognitive Radio Networks,” IEEE Transactions on Cognitive Communications and Networking, vol. 5, no. 3, pp. 805-818, May 2019.

  2. A. Li, G. Han and T. Ohtsuki, “Multiple radios for fast rendezvous in heterogeneous cognitive radio networks,” IEEE Access, vol. 7, pp. 37342-37359, March 2019.

  3. A. Li and G. Han, “Full-Duplex-Based Control Channel Establishment for Cognitive Internet of Things,” IEEE Communications Magazine, vol. 57, no.3, pp. 70-75, March 2019.

  4. G. Jia and G. Han, A. Li and J. Du, “SSL: Smart street lamp based on fog computing for smarter cities,” IEEE Transactions on Industrial Informatics, vol. 14, no.11, pp. 4995-5004, July 2018.

  5. A. Li and G. Han, “A fairness-based MAC protocol for 5G cognitive radio ad hoc networks,” Journal of Network and Computer Applications, vol. 111, pp. 28-34, June 2018.

  6. A. Li, G. Han, J. Rodrigues and S. Chan, “Channel hopping protocols for dynamic spectrum management in 5G technology,” IEEE Wireless Communications, vol. 24, no. 5, pp. 102-109, October 2017.

  7. L. Wan, G. Han, D. Zhang, A. Li and N. Feng, “Distributed DOA estimation for arbitrary topology structure of mobile wireless sensor network using cognitive radio,” Wireless Personal Communications, vol. 93, no. 2, pp. 431-445, March 2017.

  8. A. Li, G. Han, L. Wan and L. Shu, “A Sensitive Secondary Users Selection Algorithm for Cognitive Radio Ad Hoc Networks,” Sensors, vol. 16, no. 4, pp. 445, April 2016.

  9. A. Li, Z. Yang, R. Qi, F. Zhou and G. Han, “Code synchronization algorithm based on segment correlation in spread spectrum communication,” Algorithms, vol. 8, no. 4, pp. 870-894, December 2015.

  10. J. Wang, G. Jia, A. Li, G. Han and L. Shu, “Behavior aware data placement for improving cache line level locality in cloud computing,” Journal of Internet Technology, vol. 16, no. 4, pp. 705-716, July 2015.

  11. G. Jia, G. Han, A. Li and J. Lloret, “Coordinate channel-aware page mapping policy and memory scheduling for reducing memory interference among multimedia applications,” IEEE System Journal, vol. 11, no. 4, pp. 2839-2851, May 2015.

  12. G. Jia, G. Han, J. Jiang and A. Li, “Dynamic time-slice scaling for addressing OS problems incurred by main memory DVFS in intelligent system,” Mobile Networks and Applications, vol. 20, no. 2, pp. 157-168, April 2015.

  13. X. Guan, A. Li, Z. Cai and T. Ohtsuki, “Coalition graph game for robust routing in cooperative cognitive radio networks,” Mobile Networks and Applications, vol. 20, no. 2, pp. 147-156, April 2015.

  • International Conferences

  1. A. Li, F. H. Panahi, T. Ohtsuki and G. Han, “Learning-based optimal channel selection in the presence of jammer for cognitive radio networks,” Proc. IEEE Global Communications Conference, Abu Dhabi, UAE, December 2018.

  2. A. Li, G. Han and T. Ohtsuki, “Enhanced channel hopping algorithm for heterogeneous cognitive radio networks” Proc. IEEE Global Communications Conference, Abu Dhabi, UAE, December 2018.

  3. A. Li, G. Han and T. Ohtsuki, “Energy-efficient channel hopping protocol for cognitive radio networks,” Proc. IEEE Global Communications Conference, Singapore, December 2017.

  4. A. Li, G. Han, L. Shu and M. Guizani, “Cooperative secondary users selection in cognitive radio ad hoc networks,” Proc. IEEE International Wireless Communications and Mobile Computing Conference, Paphos, Cyprus, September 2016.

  5. Z. Yang, A. Li, L. Yu, S. Kang, M. Han and Q. Ding, “An improved AES encryption algorithm based on chaos theory in wireless communication networks,” Proc. IEEE Third International Conference on Robot, Vision and Signal Processing, Kaohsiung, Taiwan, November, 2015.

  6. A. Li, X. Guan, Z. Yang and T. Ohtsuki, “Coalition graph game for multi-hop routing path selection in Cooperative Cognitive Radio Networks,” Proc. IEEE 9th International Conference on Communications and Networking in China, Maoming, China, August, 2014. (Best Paper Award)

  • Domestic Conferences

  1. 岡田典大, 成瀬誠, ショヴェニコラ, 李傲寒, 長谷川幹雄, Surrogate Data法に基づくLaser Chaos Decision Makerの有効性の解析,” IEICE Technical Committee on Complex Communication Sciences, Shonan Institute of Technology, Kanagawa, Japan, June 2020.

  2. 李傲寒, 大槻知明, エナジーハーベスティングIoTにおける深層強化学習を用いた無線リソース割り当て法,” IEICE Technical Committee on Radio Communication Systems, Tokyo Institute of Technology, Tokyo, Japan, March 2020.

  3. A. Li and T. Ohtsuki, Deep Q-Learning Based Resource Allocation for Energy Harvesting Internet of Things,” Pro. IEICE General Conference, Hiroshima University, Hiroshima, Japan, March 2020.

  4. A. Li and T. Ohtsuki, Enhanced Channel Hopping Algorithm for Heterogeneous Cognitive Ad Hoc Networks,” IEICE Technical Committee on Radio Communication Systems, Industry Support Center, Okinawa, Japan, November 2018.

  5. A. Li, F. H. Panahi and T. Ohtsuki, Two-Stage Fuzzy Q-Learning Based Channel Selection Algorithm in Cognitive Radio Networks,” IEICE Technical Committee on Radio Communication Systems, Kikai-Shinko-Kaikan Bldg., Tokyo, Japan, October 2018.

  6. A. Li, F. H. Panahi and T. Ohtsuki, Fuzzy Q-Learning based Channel Selection Method for Cognitive Radio NetworksIEICE Multiple Innovative Kenkyu-kai Association for Wireless Communications, Hatoya Hotel, Shizuoka, Japan, September 2018.

  7. A. Li and T. Ohtsuki, Channel Selection Scheme for Cognitive Radio Networks with Secondary User Hardware Limitation Using a Two-Stage Learning Approach,” Pro. IEICE Society Conference, Kanazawa University, Kanazawa, Japan, September 2018.

  8. A. Li and T. Ohtsuki, Jump-Stay Based Frequency Hopping Strategy for Control Channel Establishment in Heterogeneous Cognitive Radio Networks,” Pro. IEICE Society Conference, Tokyo City University, Tokyo, Japan, September 2017.

  9. A. Li and T. Ohtsuki, Improved Channel Hopping Algorithm-for Heterogeneous Cognitive Radio Networks,” IEICE Technical Committee on Radio Communication Systems, Industry Support Center, Hokkaido University, Hokkaido, Japan, July 2017.

  10. A. Li and T. Ohtsuki, Enhanced Channel Hopping Algorithm for Heterogeneous Cognitive Ad Hoc Networks,” IEICE Technical Committee on Radio Communication Systems, Ishigaki Shoukou Kaikan, Okinawa, Japan, June 2017.

Patents

  • “A Requirement Based Spectrum Allocation Method in Cognitive Radio Networks,” granted, September 2017, China Patent No. CN104519496B.

  • “A Spectrum Sensing Method Based on the Requirement of Unlicensed Users in Cognitive Radio Networks,” granted, February 2017, China Patent No. CN104506261B.

Research Founds

  1. 2019.04-2020.04, Research Grant funded by the Telecommunications Advancement Foundation, Japan.

Research Topic: Deep Learning Based Dynamic Spectrum Access for Next Generation Wireless Communication.

  1. 2019.04-2020.04, KLL Research Grant for Ph.D. Program, Funded by Keio Leading-edge Laboratory.

Research Topic: Deep Reinforcement Learning Based Spectrum Allocation for Cognitive Internet of Things

  1. 2018.04-2019.04, Doctorate Student Grant-in-Aid Program, Funded by Keio University.

Research Topic: Machine Learning-based Optimal Channel Selection for Dynamic Spectrum Access

  1. 2018.04-2019.04, KLL Research Grant for Ph.D. Program, Funded by Keio Leading-edge Laboratory.

Research Topic: Rendezvous Problem for Dynamic Spectrum Access

  1. 2017.04-2018.04, KLL Research Grant for Ph.D. Program, Funded by Keio Leading-edge Laboratory.

Research Topic: Optimal Control Channel Establishment for Cognitive Radio Networks

  1. 2015.01.06-2015.02.06, Visit Keio University in Japan. Funded by Heilongjiang University.

  2. 2012.03-2014.03, Research on Routing Problem in Cognitive Radio Networks, Funded by Heilongjiang University.

Activities

  • TPC Member for Conferences

  1. IEEE 16th International Wireless Communications & Mobile Computing Conference (IWCMC), E-Health Symposium, 15~19 June 2020.

  2. IEEE Vehicular Technology Conference (VTC) Spring, Track: Radio Access Technology and Heterogeneous Networks , 25~28 May 2020.

  3. IEEE 15th International Wireless Communications & Mobile Computing Conference (IWCMC), E-Health Symposium, 24~28 June 2019.

  • Invited Reviewer, Including:

IEEE Communications Magazine, IEEE Wireless Communications Magazine, IEEE Network, IEEE Transactions on Industrial Informatics, IEEE Transactions on Vehicular Technology, IEEE Transactions on Wireless Communications, IEEE Internet of Things Journal, IEEE Transactions on Cognitive Communications and Networking, IEEE Communications Letters, IEEE ACCESS, IEEE Systems Journal.

Techning and Supervision

  • Techning

  1. Electrical Engineering Experiment 1-B (9943135).

  2. Programming and Algorithm (994321G)

  3. Basic Electrical & Electronics Information (994325B)

  4. Graduation Research (9943810)

  • Supervision

Bachelor Course: Ryouta Ishii, Akira Uozumi, Ikumi Urabe, Tetsupei Ootsuka, Hiroshi Kanemasa, Tomoki Sakaguchi, Kouda Hashimoto, Kentarou Honda, Daisuke Yamoto, Atsuhiro Yumoto

Awards/Scholarships

  1. 2016.09-2020.03, Japanese Government (Monbukagakusho) Scholarship.

  2. 2014.08, Best Paper Award in IEEE CHINACOM 2014.

  3. 2014.07, the Third Prize in Northeast Area of Chinese Graduate Student Electronic Design Competition.

  4. 2013.11, the First Prize in Heilongjiang Province of Chinese Graduate Student Electronic Design Competition.

  5. 2012.06, Best Thesis Award of Heilongjiang University.

  6. 2008-2011, First-Class Scholarship of Heilongjiang University.

  7. 2008-2011, Outstanding Student of Heilongjiang University.