Vector Autoregression Model Utilization for Massive-MIMO Channel Denoising
Author:
Affiliation:
1. Skolkovo Institute of Science and Technology,Center for Next Generation Wireless and IoT,Moscow,Russia
2. Moscow Institute of Physics and Technology,The Dept. of Multimedia Technology and Telecommunication,Moscow,Russia
Funder
Russian Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10167863/10167867/10167957.pdf?arnumber=10167957
Reference24 articles.
1. Denoising of signals and noise extraction by sparse autoregression;schanze;Proceedings on Automation in Medical Engineering,2020
2. Sparse vector autoregressive modeling of audio signals and its application to the elimination of impulsive disturbances
3. 5G Study on channel model for frequencies from 0.5 to 100 GHz;3rd Generation Partnership Project (3GPP) Technical Report (TR),2022
4. An Efficient Beam and Channel Acquisition via Sparsity Map and Joint Angle-Delay Power Profile Estimation for Wideband Massive MIMO Systems;kalayci;CoRR,2019
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