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People | Wireless Network and Cyber Security Research Lab
High School Student Internships Supervised David Li, Ethan Sayre and Richard Peng, Summer 2021, AEOP HSAP program (Co-advised with Loukas Lazos) Research Topic: “Secure Wireless Trust Establishment for Heterogeneous IoT Devices” Group Pictures May, 2019, group picture. Jul. 2021. AEOP Summer Apprenticeship participants.
Welcome to Our CAREER Project Research Website!
Welcome to the website of our research project: "CAREER: Toward Cooperative Interference Mitigation for Heterogeneous Multi-Hop MIMO Wireless Networks". This website is created and maintained to disseminate and share research results and other information related to the project. Project Synopsis The ever-growing number of wireless systems and the scarcity for available spectrum necessitates ...
Opportunities | Wireless Network and Cyber Security Research Lab
Conference Statistics Networking conferences statistics (by K. Almeroth) Computer security conference ranking and statistics (by G. Gu) Crypto and Security Conferences Ranking (by J. Zhou) Research and Writing Guidelines A graduate school survival guide: "So Long, and Thanks for the Ph.D.!" by Ronald T. Azuma How to be a winner — advice for students starting into research work Elements of ...
Game Theoretical Analysis of Coexistence in MIMO-Empowered Cognitive ...
Abstract—In Cognitive Radio Networks (CRNs), the spectrum underlay approach enables primary and secondary networks to transmit simultaneously, as long as the interference from the secondary network to the primary network is below certain threshold. As the recent advancement of the underlay approach, the transparent coexistence approach exploiting MIMO interfer-ence cancellation is proposed ...
Towards Physical Layer Identification of Cognitive Radio Devices
Representation learning tries to avoid the need for a human to choose the best features by applying deep learning and other techniques to reduce a high dimensional dataset to a small number of features. Lastly, multi-view learning is useful when a source and target dataset come from a common source.
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