Joint Hybrid Precoding and Combining Design Based Multi-Stage Compressed Sensing Approach for mmWave MIMO Channel Estimation
Author:
Affiliation:
1. LISIC Laboratory, University of Science and Technology Houari Boumediene, Bab Ezzouar, Algiers, Algeria
2. UMR CNRS 6285 Lab-STICC, IMT Atlantique, Brest, France
3. Ecole Nationale Polytechnique, El Harrach, Algiers, Algeria
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10273680.pdf?arnumber=10273680
Reference46 articles.
1. Codeword Selection and Hybrid Precoding for Multiuser Millimeter-Wave Massive MIMO Systems
2. Construction of unimodular tight frames for compressed sensing using majorization-minimization
3. Energy-Efficient Hybrid Analog and Digital Precoding for MmWave MIMO Systems With Large Antenna Arrays
4. Optimized Projections for Compressed Sensing
5. Acquisition of channel state information for mmWave massive MIMO: traditional and machine learning-based approaches
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