Dr. Tao Jiang
 

Dr. Tao Jiang

Research Associate

Email: tj511@ohm.york.ac.uk
Tel: +44 (0)1904 32 2311
Fax: +44 (0)1904 32 2335
Research Area: Communications Group

Research Interests

Radio resource management, cognitive radio and machine learning, including dynamic spectrum sharing for cognitive radio, cognitive radio for open spectrum access. Particularly interested in applying reinforcement learning to distributed cognitive radio system, reinforcement learning for self-organising cognitive radio networks, cross-layer learning engine design for cognitive radio and low complexity cognitive radio for ‘Green’ communications.

Key skills

  • Dynamic channel assignment and interference management for coexistence through cognitive abilities, incorporating standards such as IEEE802.22, IEEE802.11 and IEEE 802.16. Cellular communication techniques, OFDM and network protocols (TCP/IP).
  • Reinforcement learning for wireless systems, including learning model design, reasoning and efficient exploration techniques.
  • System modelling, including hierarchical system modelling, modelling of cognitive radio systems, incorporating with various interference management models, learning models and traffic models. Modelling of dynamic bandwidth assignment models in heterogeneous communication systems scenarios.

Experience

  •  05/2010 –                  Research Associate, Communications Research Group, Department of Electronics, University of York, York, UK

Working on EU FP7 project Beyond Next Generation Mobile Broadband (BuNGee). Responsible for Work Package 3 ‘Radio Resource Management and Joint Design of Access & Backhaul’ on developing Cognitive RRM techniques, and Work Package 4 ‘Proof of Concept’ on system level simulation

  •  08/2005 – 07/2007      Computer & Network Engineer, NET Digital Technology Limited Co., China

Qualifications

  • 10/2007 - 12/2011      Ph.D. in Electronics

Communications Research Group, Department of Electronics, University of York (UoY).

  • 08/2001 – 07/2005      BEng in Electronics Information Engineering

Department of Electronic Engineering, Xidian University, China

 

Publications

  • T. Jiang, D. Grace, Y. Liu,, Two Stage Reinforcement Learning Based Cognitive Radio with Exploration Control, accepted by IET Communications (COM-2009-0803.R2), 2010Octorber, 2010
  • T. Jiang, D. Grace, P. D. Mitchell, Improvement of pre-partitioning on reinforcement learning based spectrum sharing, IET International Communication Conference on Wireless Mobile & Computing (CCWMC), 299-302, Shanghai, China, December, 2009
  • X. Chen, Z. Zhao, H. Zhang, T. Jiang, D. Grace, Inter-Cluster Connection in Cognitive Wireless Mesh Networks Based on Intelligent Network Coding, IEEE PIMRC'09, September, 2009
  • X. Chen, Z. Zhao, T. Jiang, D. Grace, H. Zhang, Inter-Cluster Connection in Cognitive Wireless Mesh Networks Based on Intelligent Network Coding, EURASIP Journal on Applied Signal Processing, 2009:11, August, 2009
  • D. Grace, J. Chen, T. Jiang, P.D. Mitchell, Using Cognitive Radio to Deliver ‘Green’ Communications, CROWNCOM'09, Hannover, Germany, June, 2009
  • T. Jiang, D. Grace, Y. Liu, Cognitive Radio Spectrum Sharing Schemes with Reduced Spectrum Sensing Requirements, IET Seminar on Cognitive Radio and Software Defined Radios: Technologies and Techniques, September, 2008
  • T. Jiang, D. Grace, Y. Liu, Performance of Cognitive Radio Reinforcement Spectrum Sharing Using Different Weighting Factors, 2008 International Workshop on Cognitive Networks and Communications (COGCOM2008) in conjunction with CHINACOM'08,, Hangzhou, China, August, 2008

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