Deep learning-based massive MIMO CSI feedback
J Li, Q Zhang, X Xin, Y Tao, Q Tian… - 2019 18th …, 2019 - ieeexplore.ieee.org
Massive multi-input and multi-output technology is a key technology for future 5G wireless
communication. The channel feedback problem of massive mimo becomes more and more …
communication. The channel feedback problem of massive mimo becomes more and more …
Learning how to transfer from uplink to downlink via hyper-recurrent neural network for FDD massive MIMO
In order to unlock the full advantages of massive multiple-input multiple-output (MIMO) in the
downlink, the base station (BS) must leverage information about the downlink fading …
downlink, the base station (BS) must leverage information about the downlink fading …
Secure communications for dual-polarized MIMO systems
To enhance secure communications, we deploy the dual-polarized antenna arrays at
communication nodes of the multi-input multioutput (MIMO) system, where the base station …
communication nodes of the multi-input multioutput (MIMO) system, where the base station …
Deep learning for Parametric Channel Estimation in massive MIMO systems
Massive Multiple-Input Multiple-Output (MIMO) communication with a low bit error rate
depends upon the availability of accurate Channel State Information (CSI) at the base …
depends upon the availability of accurate Channel State Information (CSI) at the base …
[HTML][HTML] Optimization of resource allocation in FDD massive MIMO systems
J Cai, C Yin, Y Ding - Digital Communications and Networks, 2022 - Elsevier
The performance of massive MIMO systems relies heavily on the availability of Channel
State Information at the Transmitter (CSIT). A large amount of work has been devoted to …
State Information at the Transmitter (CSIT). A large amount of work has been devoted to …
Compressive channel estimation exploiting block sparsity in multi-user massive MIMO systems
W Xu, T Shen, Y Tian, Y Wang… - 2017 IEEE Wireless …, 2017 - ieeexplore.ieee.org
Massive multiple input multiple output (MIMO) is a promising technology that can enhance
the wireless communication capacity due to increased degrees of freedom. To fully utilize …
the wireless communication capacity due to increased degrees of freedom. To fully utilize …
[PDF][PDF] A Modified OMP Algorithm with Reduced Feedback Overhead for Massive MIMO System
JCP Matta, P Siddiah - Indian Journal …, 2021 - sciresol.s3.us-east-2.amazonaws …
Abstract Objectives: Massive Multiple-Input and Multiple-Output (MIMO) is the optimum way
to enhance the bandwidth issue, in which the feedback overhead is a challenging concern …
to enhance the bandwidth issue, in which the feedback overhead is a challenging concern …
Channel estimation based on compressive sensing for multi-user massive MIMO systems
Q Chen, S Su, G Lei - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Massive multiple-input multiple-output (MIMO) is becoming a key technology for future
wireless communications. Channel feedback for massive MIMO is a challenging task due to …
wireless communications. Channel feedback for massive MIMO is a challenging task due to …
Downlink channel covariance matrix reconstruction for FDD massive MIMO systems with limited feedback
The downlink channel covariance matrix (CCM) acquisition is the key step for the practical
performance of massive multiple-input and multiple-output (MIMO) systems, including …
performance of massive multiple-input and multiple-output (MIMO) systems, including …
[PDF][PDF] 基于压缩感知的大规模MIMO 信道估计与反馈
毛攀， 黄小光， 汪伟， 宋建 - 电信科学, 2018 - infocomm-journal.com
针对大规模MIMO 系统信道估计精度低及反馈方案较为复杂的问题, 在差分信道估计及反馈方案
上提出了一种基于系数相关性的压缩采样匹配追踪(BCC-CoSAMP) 算法. 该算法将CoSAMP …
上提出了一种基于系数相关性的压缩采样匹配追踪(BCC-CoSAMP) 算法. 该算法将CoSAMP …