报告题目：AI Empowered Cognitive Radio Networks for Next Generation Wireless Communications
报告人：Dr. Faheem A. Khan, Senior Lecturer, University of Huddersfield
报告时间：2024年5月29日（星期三），上午10:00
报告地点：创新港创科大厦9楼黄大年茶思屋
报告摘要：Dynamic Spectrum Access (DSA) has emerged as the viable solution to overcome apparent spectrum scarcity for emerging wireless communication services and applications. Cognitive radio (CR) has been proposed as the main enabling technology for DSA. With the ongoing deployment of 5G systems around the globe, research focus has now shifted towards development of 6G wireless communication systems. Artificial intelligence (AI) and machine learning (ML) techniques are widely expected to be an important ingredient of 6G systems. These techniques have shown great potential for use in DSA systems to provide efficient utilization of highly congested spectrum. In this talk, we first provide an overview of cognitive radio-based DSA techniques and then discuss the use of AI/ML techniques for DSA in next generation wireless communication systems to achieve robust, efficient, and smart spectrum coexistence between incumbent and unlicensed users. The talk will conclude with the discussion on future research directions in this field.
个人简介：Dr. Faheem A. Khan is currently a Senior Lecturer in Electronic Engineering with the School of Computing and Engineering, University of Huddersfield, Huddersfield, U.K. He received his Ph.D. in Electrical and Electronic Engineering from Queen’s University Belfast in 2012. Prior to joining the University of Huddersfield as a Lecturer in 2016, he worked as a Research Associate at the Institute for Imaging, Data and Communications, University of Edinburgh. Dr. Khan is a Fellow of the Higher Education Academy. His research interests include spectrum sharing/spectrum management for beyond 5G wireless networks, licensed shared access and cognitive radio, nonorthogonal multiple access, machine learning and deep learning in wireless communications, full-duplex communications, MIMO communications, millimeter-wave communications, and IoT networks. Dr. Khan has published many high-quality academic papers in top IEEE journals such as IEEE Transactions on Wireless Communications and IEEE Communications Magazine. His research is currently funded by EU Horizon 2020 grants, MOTOR5G and RECOMBINE as well as KTP Research grant.
