Issues, challenges, and research trends in spectrum management: A comprehensive overview and new vision for designing 6G networks
With an extensive growth in user demand for high throughput, large capacity, and low
latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing …
latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing …
Massive MIMO wireless networks: An overview
N Hassan, X Fernando - Electronics, 2017 - mdpi.com
Massive multiple-input-multiple-output (MIMO) systems use few hundred antennas to
simultaneously serve large number of wireless broadband terminals. It has been …
simultaneously serve large number of wireless broadband terminals. It has been …
Deep learning-based channel estimation for doubly selective fading channels
In this paper, online deep learning (DL)-based channel estimation algorithm for doubly
selective fading channels is proposed by employing the deep neural network (DNN). With …
selective fading channels is proposed by employing the deep neural network (DNN). With …
Pruning the pilots: Deep learning-based pilot design and channel estimation for MIMO-OFDM systems
MB Mashhadi, D Gündüz - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
With the large number of antennas and subcarriers the overhead due to pilot transmission
for channel estimation can be prohibitive in wideband massive multiple-input multiple-output …
for channel estimation can be prohibitive in wideband massive multiple-input multiple-output …
Polarization channel estimation for circular and non-circular signals in massive MIMO systems
The polarization millimeter wave (mmWave) massive multiple-input multiple-output (MIMO)
system has been deployed in next-generation wireless communication since it can provide a …
system has been deployed in next-generation wireless communication since it can provide a …
Channel estimation for TDD/FDD massive MIMO systems with channel covariance computing
In this paper, we propose a new channel estimation scheme for TDD/FDD massive MIMO
systems by reconstructing (sometimes also referred to as covariance computing or …
systems by reconstructing (sometimes also referred to as covariance computing or …
FDD massive MIMO via UL/DL channel covariance extrapolation and active channel sparsification
MB Khalilsarai, S Haghighatshoar… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
We propose a novel method for massive multiple-input multiple-output (massive MIMO) in
frequency division duplexing (FDD) systems. Due to the large frequency separation between …
frequency division duplexing (FDD) systems. Due to the large frequency separation between …
Deep learning based physical layer security for terrestrial communications in 5G and beyond networks: A survey
The key principle of physical layer security (PLS) is to permit the secure transmission of
confidential data using efficient signal-processing techniques. Also, deep learning (DL) has …
confidential data using efficient signal-processing techniques. Also, deep learning (DL) has …
Downlink channel estimation for FDD massive MIMO using conditional generative adversarial networks
B Banerjee, RC Elliott, WA Krzymień… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
For implementation of massive multiple-input multiple-output (MIMO) cellular systems in
frequency division duplex (FDD) mode, accurate estimation of downlink channel state …
frequency division duplex (FDD) mode, accurate estimation of downlink channel state …
On the ergodic rate lower bounds with applications to massive MIMO
G Caire - IEEE Transactions on Wireless Communications, 2018 - ieeexplore.ieee.org
A well-known lower bound widely used in the massive MIMO literature hinges on channel
hardening, ie, the phenomenon for which, thanks to the large number of antennas, the …
hardening, ie, the phenomenon for which, thanks to the large number of antennas, the …