Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned
Linear Filters based on Long-Short Term Channel Decomposition

Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition

23 March 2022

Sangwoo Park

Osvaldo Simeone

Papers citing "Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition"

8 / 8 papers shown

Title
Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark Hassan Ismail Fawaz Ganesh Del Grosso Tanguy Kerdoncuff Aurélie Boisbunon Illyyne Saffar AI4TS 32 2 0 15 Dec 2023
Reverse Ordering Techniques for Attention-Based Channel Prediction Valentina Rizzello Benedikt Bock M. Joham Wolfgang Utschick AI4TS 18 7 0 01 Feb 2023
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation Sangwoo Park Osvaldo Simeone 34 8 0 01 Oct 2021
Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking Kumar Pratik Rana Ali Amjad Arash Behboodi Joseph B. Soriaga Max Welling BDL 38 13 0 26 Sep 2021
End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning Sangwoo Park Osvaldo Simeone Joonhyuk Kang 39 42 0 03 Mar 2020
Deep HyperNetwork-Based MIMO Detection Mathieu Goutay Fayçal Ait Aoudia J. Hoydis 34 54 0 07 Feb 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 177 639 0 19 Sep 2019
Tensor Decomposition for Signal Processing and Machine Learning N. Sidiropoulos L. De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos 105 1,342 0 06 Jul 2016