MP4b.3

Adaptive Attention-Based Model for 5G Radio-based Outdoor Localization

Ilayda Yaman, Lund University, Sweden; Guoda Tian, Dino Pjanić, Ericsson AB, Sweden; Fredrik Tufvesson, Ove Edfors, Lund University, Sweden; Zhengya Zhang, University of Michigan, United States; Liang Liu, Lund University, Sweden
Session:
MP4b: Machine Learning for Communication Systems Lecture
Track:
Adaptive Systems, Machine Learning, and Data Analytics
Location:
Nautilus
Presentation Time:
Mon, 27 Oct, 11:05 - 11:30 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session MP4b
MP4b.1: Adaptive Cascaded Polyphase Channelizer for Dynamic Wideband Spectrum Access: Design, Analysis, and Foresight on Implementation
Yukang Fu, Arindam Dutta, Arizona State University, United States; Bernd-Peter Paris, George Mason University, United States; Daniel Bliss, Arizona State University, United States
MP4b.2: RF one-class classification via Shifted DeepSVDD
Edward Reehorst, Air Force Research Lab, United States; Philip Schniter, Ohio State University, United States
MP4b.3: Adaptive Attention-Based Model for 5G Radio-based Outdoor Localization
Ilayda Yaman, Lund University, Sweden; Guoda Tian, Dino Pjanić, Ericsson AB, Sweden; Fredrik Tufvesson, Ove Edfors, Lund University, Sweden; Zhengya Zhang, University of Michigan, United States; Liang Liu, Lund University, Sweden
MP4b.4: Asymptotic Estimation and Detection of a Multi-Harmonic Signal in Stationary Gaussian Noise
Jonas Lindenberger, Daniel Guger, Sebastian Schertler, Johannes Kepler University, Austria; Stefan Schuster, voestalpine Stahl GmbH, Austria; Oliver Lang, Johannes Kepler University, Austria; Alexander Haberl, voestalpine Stahl GmbH, Austria; Bernhard Lehner, Silicon Austria Labs GmbH, Austria; Stefan Scheiblhofer, Clemens Staudinger, Johann Reisinger, Mario Huemer, voestalpine Stahl GmbH, Austria
Contacts