Compressive sampling optimization for user signal parameter estimation in massive MIMO systems-Reference-Cited by-同舟云学术

Compressive sampling optimization for user signal parameter estimation in massive MIMO systems

Published:2019-11 Issue: Volume:94 Page:105-113
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Gu Yujie^ORCID,Zhang Yimin D.^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference44 articles.

1. Optimized compressive sensing-based direction-of-arrival estimation in massive MIMO;Gu,2017

2. Scaling up MIMO: opportunities and challenges with very large arrays;Rusek;IEEE Signal Process. Mag.,2013

3. Massive MIMO for next generation wireless systems;Larsson;IEEE Commun. Mag.,2014

4. An overview of massive MIMO: benefits and challenges;Lu;IEEE J. Sel. Top. Signal Process.,2014

5. Pilot design for Gaussian mixture channel estimation in massive MIMO;Gu,2018

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