FDD Massive MIMO Channel Training: Optimal Rate-Distortion Bounds and the Spectral Efficiency of “One-Shot” Schemes
Author:
Affiliation:
1. Communications and Information Theory Group, Technische Universität Berlin, Berlin, Germany
Funder
“Leibniz Preis” grant of the German Science Foundation
Federal Ministry of Education and Research of Germany (BMBF) in the program of “Souverän. Digital. Vernetzt.” Joint Project 6G-RIC
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/7693/10247109/10032236.pdf?arnumber=10032236
Reference43 articles.
1. Compressed Sensing-Aided Downlink Channel Training for FDD Massive MIMO Systems
2. Atomic Decomposition by Basis Pursuit
3. Compressed CSI Acquisition in FDD Massive MIMO: How Much Training is Needed?
4. Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
5. Channel estimation using joint dictionary learning in FDD massive MIMO systems
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