Federated online deep learning for CSIT and CSIR estimation of FDD multi-user massive MIMO systems

X Zheng, V Lau - IEEE Transactions on Signal Processing, 2022 - ieeexplore.ieee.org
In this paper, we propose a federated online training framework for deep neural network
(DNN)-based channel estimation (CE) in frequency-division duplexing (FDD) multi-user …

Performance Analysis of DoA Estimation for FDD Cell Free Systems Based on Compressive Sensing Technique

H Almosa, YJ Harbi, M Al-Dulaimi… - Journal of …, 2023 - pure.york.ac.uk
The concept of cell free (CF) massive MIMO systems is a prospective fifth generation
communication technology that effort with base stations for the privilege of user-centric …

Multi-user massive MIMO channel estimation using joint sparsity and non-ideal feedback modeling

N Sadeghi, M Azghani - Digital Signal Processing, 2020 - Elsevier
In order to realize the advantages of the massive MIMO systems, the channel state
information must be obtained at the base station (BS). However, it is a challenging task in …

The novel applications of deep reservoir computing in cyber-security and wireless communication

K Hamedani, Z Zhou, K Bai, L Liu - Intelligent System and …, 2019 - books.google.com
This chapter introduces the novel applications of deep reservoir computing (RC) systems in
cyber-security and wireless communication. The RC systems are a new class of recurrent …

Nonconvex regularized gradient projection sparse reconstruction for massive MIMO channel estimation

P Wu, J Cheng - IEEE Transactions on Communications, 2021 - ieeexplore.ieee.org
Novel sparse reconstruction algorithms are proposed for beamspace channel estimation in
massive multiple-input multiple-output systems. The proposed algorithms minimize a least …

[引用][C] Capacity Enhancement of Multi-User Massive MIMO Systems through MAI cancellation using Limited feedback system

GS Kumar - junikhyatjournal.in
Massive multiple-input multiple-output (MIMO) system is very important for achieving the
requirement of higher spectral efficiency (SE) in the present and next generation cellular …

Cluster Extrapolation for FDD Downlink MIMO Precoding

M Roy, S Paquelet, M Crussière - 2020 IEEE 31st Annual …, 2020 - ieeexplore.ieee.org
Channel extrapolation is a promising technique to estimate the Channel State Information
(CSI) in multi-input-multi-output (MIMO) systems operating in frequency division duplex …

Downlink Achievable Rate Analysis for FDD Massive MIMO Systems

HRK Almosa - 2019 - kuscholarworks.ku.edu
Multiple-Input Multiple-Output (MIMO) systems with large-scale transmit antenna arrays,
often called massive MIMO, are a very promising direction for 5G due to their ability to …

Resource Allocation in Multi-user MIMO Networks: Interference Management and Cooperative Communications

S Mosleh - 2019 - kuscholarworks.ku.edu
Nowadays, wireless communications are becoming so tightly integrated in our daily lives,
especially with the global spread of laptops, tablets and smartphones. This has paved the …