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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: Machine Learning for Traffic Prediction and Communication Efficient Data Analytic in Wireless Networks
Committee:
Dr. Fekri, Advisor
Dr. Sivakumar, Chair
Dr. AlRegib
Dr. Anderson
Abstract: The objective of the proposed research is to design predictive models by learning the mobile users behaviors in wireless networks and design efficient task-aware models at the wireless-network edge for Internet of Things (IoT). The integrated framework aims to reduce the data costs and network operation costs of mobile users and network operators, respectively, and enhance the communication traffic by minimizing the latency. We propose to tap into machine learning (ML) and probabilistic graphical models to capture the dependency relationships between observed and unobserved variables, and develop efficient computation algorithms that exploit the graph structure.
