Amanote Research

Amanote Research

    RegisterSign In

Understanding the Impact of Limited Channel State Information on Massive MIMO Network Performances

doi 10.1145/2942358.2942392
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2016

Authors
Jia LiuAtilla EryilmazNess B. ShroffElizabeth S. Bentley
Publisher

ACM Press


Related search

Enhanced MIMO Influence on LTE-Advanced Network Performances

Elektronika ir Elektrotechnika
Electronic EngineeringElectrical
2016English

Localization Based on Standard Wireless LAN Infrastructure Using MIMO-OFDM Channel State Information

Eurasip Journal on Wireless Communications and Networking
Computer NetworksComputer Science ApplicationsSignal ProcessingCommunications
2016English

Channel Covariance Identification in FDD Massive MIMO Systems

Proceedings
2018English

Machine Learning-Based Channel Estimation in Massive MIMO With Channel Aging

2019English

Multiuser Beamforming With Limited Feedback for FDD Massive MIMO Systems

Chinese Journal of Engineering
EngineeringChemical Engineering
2016English

Massive MIMO With a Generalized Channel Model: Fundamental Aspects

2019English

Noncoherent Compressive Channel Estimation for Mm-Wave Massive MIMO

2018English

A Massive MIMO Channel Estimation Using Circulant Jacket Matrices

Advances in Wireless Technologies and Telecommunication
English

Massive-Mimo Iterative Channel Estimation and Decoding (MICED) in the Uplink

IEEE Transactions on Communications
Electronic EngineeringElectrical
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy