Ran Zhang, Ph.D.

Dr. Ran ZhangAssistant Professor

260 R Garland Hall
513-529-0017
zhangr43@miamioh.edu
Dr. Zhang's homepage

Research Interests

  • Unmanned Aerial Vehicle (UAV) Based Communications
  • Machine Learning
  • 5G/6G mobile communication systems
  • Robot-assisted reminiscence therapy for patients with dementia (PwDs)
  • Vehicular Cyber-Physical Systems

Education

  • Ph.D., Electrical Engineering
    University of Waterloo, Canada
    2016
  • B.E., Electronic Information Science and Technology
    Tsinghua University, China
    2010

Research Bio

Dr. Zhang joined the Department of Electrical and Computer Engineering at Miami University in the fall of 2018. Before joining Miami, he obtained his Ph.D. degree in Electrical Engineering at University of Waterloo (Canada), and Bachelor's degree in Electronics Information and Science at Tsinghua University (China), respectively in 2016 and 2010. After graduating, Dr. Zhang worked at the Canada Research Center of Huawei Technologies from 2016 to 2018.

Dr. Zhang's research interests spread widely in the field of wireless communications and networking. His Ph.D. research focused on radio resource management in 4G/5G cellular networks in the context of carrier aggregation, heterogeneous networks, and LTE unlicensed scenarios. While in industry, Dr. Zhang's research emphasized on channel coding design for 5G New Radio and Artificial Intelligence powered next-generation cellular networks. Dr. Zhang's current research focuses on applying deep and reinforcement learning techniques to practical applications including Unmanned Aerial Vehicle (UAV) based communication networks, Non-Orthogonal Multiple Access networks, robotic healthcare, and vehicular cyber-physical systems. Please jump here for selected on-going projects.

Experience

  • 2019 – Present, Assistant Professor, Miami University, Oxford, OH, US
  • 2018 – 2019, Visiting Assistant Professor, Miami University, Oxford, OH, US
  • 2015 – 2018, System Engineer at Huawei Technologies, Canada Research Center, Ottawa, Canada

Honors and Awards

  • Faculty Research Grant Award, Miami University (2021-2022)
  • Best Paper Award, IEEE Global Telecommunications Conference (Globecom), Austin, USA (2014)
  • Doctoral Thesis Writing Award, University of Waterloo, Canada (2015)
  • Chinese Government Award for Self-Financing Graduate Students, Canada (2015)
  • Ontario Research & Development Challenge Fund Bell Scholarship, Ontario, Canada (2015)

Principle Publications

For detailed research activities and a full list of Dr. Ran Zhang's publications, please visit his webpage and Dr. Ran Zhang's Google Scholar site.

Books

  • M. Wang, R. Zhang, and X. Shen, Mobile Electric Vehicles: Online Charging and Discharging, SpringerBriefs in Electrical and Computer Engineering, Springer Verlag, 2015. (ISBN-10: 3319251287, ISBN-13: 978-3319251288)

Book Chapter

  • R. Zhang, M. Wang, L. X. Cai, Y. Cheng, X. Shen, and L. Xie, "Resource Management in Sustainable Green HetNets with Renewable Energy Sources," submitted to 5G Mobile Communications, Springer.

Peer-Reviewed Journal

  • Z. Chen, R. Zhang, Y. Liu, L. X. Cai, and Q. Chen, "Performance Study of Cybertwin-assisted Random Access NOMA," IEEE Internet of Things Journal, early access, 2021
  • R. Zhang, M. Wang, L. X. Cai, and X. Shen, "Learning to be Proactive: Self-Regulation of UAV Based Networks with UAV and User Dynamics", IEEE Transactions on Wireless Communications, vol. 20, no. 7, pp. 4406-4419, 2021
  • Y. Liu, X. Chen, L. X. Cai, Q. Chen, and R. Zhang, "Nonorthogonal Multiple Access for Wireless Powered IoT Networks", IEEE Internet of Things Journal, vol. 8, no. 1, pp. 112-128, 2021.
  • M. Qin, W. Wu, Q. Yang, R. Zhang, N. Cheng, H. Zhou, RR Rao, and X. Shen, “Green-Oriented Dynamic Resource-on-Demand Strategy for Multi-RAT Wireless Networks Powered by Heterogeneous Energy Sources,” Accepted by IEEE Transactions on Wireless Communications, 2020.
  • M. Han, S. Khairy, L. X. Cai, Y. Cheng, and R. Zhang, “Reinforcement Learning for Efficient and Fair Coexistence between LTE-LAA and Wi-Fi,” Accepted by IEEE Transactions on Vehicular Communication, 2020.
  • M. Wang, M. Ismail, R. Zhang, X. Shen, E. Serpedin, and K. Qaraqe, “Spatio-temporal coordination V2V fast charging strategy for mobile GEVs via price control,” IEEE Transactions on Smart Grid, vol. 32, no. 7, pp. 1344-1360, 2017.
  • R. Zhang, M. Wang, X. Shen, L. Xie, "Probabilistic Analysis on QoS Provisioning for Internet of Things in LTE-A Heterogeneous Networks with Partial Spectrum Usage," IEEE Internet of Things Journal, vol. 3, no. 3, pp. 354-365, 2016.
  • R. Zhang, M. Wang, L. X. Cai, Z. Zheng, X. Shen, and L. Xie, "LTE-Unlicensed: The Future of Spectrum Aggregation for Cellular Networks," IEEE Wireless Communications Magazine, vol. 22, no. 3, pp. 150-159, June 2015.
  • R. Zhang, Z. Zheng, M. Wang, X. Shen, and L. L. Xie, “Equivalent Capacity in Carrier Aggregation-Based LTE-A Systems: A Probabilistic Analysis,” IEEE Transactions on Wireless Communications, vol. 13, no. 11, pp. 6444-6460, Nov. 2014.
  • M. Wang, H. Liang, R. Zhang, R. Deng, and X. Shen, “Mobility-Aware Coordinated Charging for Electric Vehicles in VANET-Enhanced Smart Grid,” IEEE Journal on Selected Areas in Communications, vol. 32, no. 7, pp. 1344-1360, July 2014.

Peer-Reviewed Conference

  • Z. Chen, Y. Liu, L. X. Cai, Y. Cheng, R. Zhang, and M. Han, "Performance Study of Random Access NOMA with Truncated Channel Inversion Power Control," accepted by IEEE ICC 2021.
  • R. Zhang, M. Wang, and L. X. Cai, "SREC: Proactive Self-REmedy of Energy-Constrained UAV-Based Networks via Deep Reinforcement Learning," accepted by IEEE GlobeCom 2020.
  • Z. Chen, Y. Liu, S. Khary, L. X. Cai, Y. Cheng, and R. Zhang, "Optimizing Non-Orthogonal Multiple Access in Random Access Networks," IEEE VTC 2020 Spring, 2020.
  • Y. Zhao, Z. Li, N. Cheng, R. Zhang, B. Hao, and X. Shen, “UAV Deployment Strategy for Range-Based Space-Air Integrated Localization Network,” IEEE Globecom’19, Kona, Hawaii, USA, 2019.
  • R. Zhang, Y. Ge, H. Saber, W. Shi, and X. Shen, “Localization-based Polar Code Construction with Sublinear Complexity,” IEEE ICC’18, 2018.
  • G. He, J.-C. Belfiore, X. Liu, Y. Ge, R. Zhang, I. Land, Y. Chen, R. Li, J. Wang, G. Yang, and W. Tong, “β-expansion: A Theoretical Framework for Fast and Recursive Construction of Polar Codes.” IEEE Globecom’17, 2017.
  • R. Zhang, M. Wang, L. X. Cai, X. Shen, L. Xie, and Y. Cheng, "Modeling and Analysis of MAC Protocol for LTE-U Co-existing with Wi-Fi," IEEE Globecom’15, 2015.
  • R. Zhang, M. Wang, L. X. Cai, X. Shen, L. Xie, and Y. Cheng, "Modeling and Analysis of MAC Protocol for LTE-U Co-existing with Wi-Fi," IEEE Globecom’15, 2015.

Selected Patents

  • R. Zhang, W. Shi, N. Cheng, Y. Ge, Systems and Methods for Rate Matching When Using General Polar Codes, US Patent Application: 10/291,264, 2019
  • Y. Ge, R. Zhang, N. Cheng, and W. Shi, Apparatus and Methods for Error Detection Coding, US Patent 10,361,717, 2019
  • R. Zhang, W. Shi, N. Cheng, Y. Ge, Systems and Methods for Piece-Wise Rate-Matching for General Polar Codes, US Patent Application: 15/607,591, 2017
  • R. Zhang, W. Shi, N. Cheng, Y. Ge, Systems and Methods for Rate Matching When Using General Polar Codes, US Patent Application: 15/607,584, 2017

Teaching

Open Positions

I am seeking for self-motivated graduate and undergraduate students with strong interests in areas of wireless communications and networking, machine learning, and space-air-ground communications.

  • Graduate applicants please email me a copy of your resume with subject "Graduate Applicant-Name".
  • Undergraduate students please email me to schedule a meeting on campus or Zoom.