Deep Unfolding Basis Pursuit: Improving Sparse Channel Reconstruction via Data-Driven Measurement Matrices
Author:
Affiliation:
1. School of Engineering, The University of British Columbia, Kelowna, BC, Canada
Funder
Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/7693/9915540/09754266.pdf?arnumber=9754266
Reference48 articles.
1. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems
2. Decoding by Linear Programming
3. MIMO Channel Information Feedback Using Deep Recurrent Network
4. Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System
5. Deep Learning-Based Joint Pilot Design and Channel Estimation for Multiuser MIMO Channels
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1. Deep Learning-Based Channel Estimation for Wideband Hybrid MmWave Massive MIMO;IEEE Transactions on Communications;2023-06
2. Training FFT to Select Beams in Massive MIMO;IEEE Wireless Communications Letters;2023-06
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