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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Title: Deep Learning based Intelligent Wireless Communication System
Committee:
Dr. Geoffrey Li, ECE, Chair , Advisor
Dr. Biing-Hwang Juang, ECE
Dr. Xiaoli Ma, ECE
Dr. Gordon Stuber, ECE
Dr. Yao Xie, ISyE
Abstract: The growing complexity of modern wireless communication networks, coupled with the increasingly diverse service requirements, challenges state-of-the-art wireless design methodology. The objective of this research is to build an intelligent wireless network, where it can learn from the data and determine the best policy by itself. In the physical layer, deep learning methods are employed to build robust wireless communication systems, where various effects of the wireless channels can be addressed in a data-driven way. In the medium access control (MAC) layer, distributed resource allocation schemes are developed to satisfy the diverse quality of service (QoS) for vehicular communications.
