DARE–Distributed Agile Radio Ecosystems Lab
OUR MISSION: We explore novel technologies to foster a more connected society, by understanding the fundamental limits of wireless communications
A draft of the manuscript is available at https://arxiv.org/pdf/2107.11304.pdf This paper studies distributed algorithms for (strongly convex) composite optimization problems over mesh networks, subject to quantized communications. Instead of focusing on a specific algorithmic design, […]
Three papers from our research group have been accepted and will be presented at IEEE GLOBECOM in Madrid in December 2021! Adaptive Beam Alignment in Mm-Wave Networks: A Deep Variational Autoencoder Architecture, Muddassar Hussain, Nicolò […]
Ph.D. candidate Chang-Shen successfully defended his Ph.D. thesis “Distributed Network Processing and Optimization under Communication Constraints.” Congratulations Chang-Shen!
Ph.D. candidate Muddassar Hussain successfully defended his Ph.D. thesis “Beam-Alignment in Millimeter-wave networks: a multiscale approach.” Muddassar will soon join Qualcomm in San Diego. Congratulations Muddassar and best of luck with your new adventure at […]
I am honored to receive the NSF CAREER award for the project “Adaptive Communications and Trajectory Design for UAV-assisted Wireless Networks: a Multi-Scale Decision Framework” from the National Science Foundation. Thank you, NSF The demand […]
Our new paper “Learning-based Cognitive Radio Access via Randomized Point-Based Approximate POMDPs,” coauthored with my student Bharath Keshavamurthy, has been accepted at IEEE ICC 2021 and will be presented this June! In this paper, a […]
Our new paper “Fast Position-Aided MIMO Beam Training via Noisy Tensor Completion,” coauthored with my student Tzu-Hsuan Chou and colleagues David J. Love and James V. Krogmeier from Purdue University has been accepted in the IEEE […]
