6G wireless communications networks: A comprehensive survey
The commercial fifth-generation (5G) wireless communications networks have already been
deployed with the aim of providing high data rates. However, the rapid growth in the number …
deployed with the aim of providing high data rates. However, the rapid growth in the number …
Massive MIMO is a reality—What is next?: Five promising research directions for antenna arrays
Massive MIMO (multiple-input multiple-output) is no longer a “wild” or “promising” concept
for future cellular networks—in 2018 it became a reality. Base stations (BSs) with 64 fully …
for future cellular networks—in 2018 it became a reality. Base stations (BSs) with 64 fully …
Prospective multiple antenna technologies for beyond 5G
Multiple antenna technologies have attracted much research interest for several decades
and have gradually made their way into mainstream communication systems. Two main …
and have gradually made their way into mainstream communication systems. Two main …
Scalable cell-free massive MIMO systems
E Björnson, L Sanguinetti - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Imagine a coverage area with many wireless access points that cooperate to jointly serve
the users, instead of creating autonomous cells. Such a cell-free network operation can …
the users, instead of creating autonomous cells. Such a cell-free network operation can …
Wideband beamforming for hybrid massive MIMO terahertz communications
The combination of large bandwidth at terahertz (THz) and the large number of antennas in
massive MIMO results in the non-negligible spatial wideband effect in time domain or the …
massive MIMO results in the non-negligible spatial wideband effect in time domain or the …
Federated learning for channel estimation in conventional and RIS-assisted massive MIMO
Machine learning (ML) has attracted a great research interest for physical layer design
problems, such as channel estimation, thanks to its low complexity and robustness. Channel …
problems, such as channel estimation, thanks to its low complexity and robustness. Channel …
Hybrid precoding for multiuser millimeter wave massive MIMO systems: A deep learning approach
AM Elbir, AK Papazafeiropoulos - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In multi-user millimeter wave (mmWave) multiple-input-multiple-output (MIMO) systems,
hybrid precoding is a crucial task to lower the complexity and cost while achieving a …
hybrid precoding is a crucial task to lower the complexity and cost while achieving a …
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 …
Joint antenna selection and hybrid beamformer design using unquantized and quantized deep learning networks
In millimeter-wave communications, multiple-input-multiple-output (MIMO) systems use large
antenna arrays to achieve high gain and spectral efficiency. These massive MIMO systems …
antenna arrays to achieve high gain and spectral efficiency. These massive MIMO systems …
Channel estimation techniques for millimeter-wave communication systems: Achievements and challenges
K Hassan, M Masarra, M Zwingelstein… - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
The fifth-generation (5G) of cellular networks and beyond requires massive connectivity,
high data rates, and low latency. Millimeter-wave (mmWave) communications is a key 5G …
high data rates, and low latency. Millimeter-wave (mmWave) communications is a key 5G …