Environment-aware hybrid beamforming by leveraging channel knowledge map
Hybrid analog/digital beamforming is a promising technique to realize millimeter wave
(mmWave) massive multiple-input multiple-output (MIMO) systems cost-effectively. However …
(mmWave) massive multiple-input multiple-output (MIMO) systems cost-effectively. However …
Deep transfer learning for location-aware millimeter wave beam selection
The main bottleneck for using deep neural networks in location-aided millimeter wave beam
alignment procedures is the need for large datasets to tune their large set of trainable …
alignment procedures is the need for large datasets to tune their large set of trainable …
Multi-resolution codebook based beamforming sequence design in millimeter-wave systems
There is growing interest in using millimeter wave (mmWave) communication for fifth
generation (5G) wireless systems because of the large bandwidth available in these …
generation (5G) wireless systems because of the large bandwidth available in these …
Federated dropout learning for hybrid beamforming with spatial path index modulation in multi-user mmWave-MIMO systems
Millimeter wave multiple-input multiple-output (mmWave-MIMO) systems with small number
of radio-frequency (RF) chains have limited multiplexing gain. Spatial path index modulation …
of radio-frequency (RF) chains have limited multiplexing gain. Spatial path index modulation …
Deep learning-based beamforming and blockage prediction for sub-6GHz/mm wave mobile networks
To meet the stringent demands of Beyond 5G applications, an optimized and seamless
usage of sub-6 GHz and mmWave networks under high user mobility is essential. In …
usage of sub-6 GHz and mmWave networks under high user mobility is essential. In …
Wideband channel estimation for millimeter wave beamspace MIMO
X Cheng, J Deng, S Li - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) with lens antenna array, referred to as
beamspace MIMO, is attractive for millimeter wave (mmWave) communications, since it can …
beamspace MIMO, is attractive for millimeter wave (mmWave) communications, since it can …
Radar aided 6G beam prediction: Deep learning algorithms and real-world demonstration
U Demirhan, A Alkhateeb - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
Adjusting the narrow beams at millimeter wave (mmWave) and terahertz (THz) MIMO
communication systems is associated with high beam training overhead, which makes it …
communication systems is associated with high beam training overhead, which makes it …
Position and LIDAR-aided mmWave beam selection using deep learning
M Dias, A Klautau, N González-Prelcic… - 2019 IEEE 20th …, 2019 - ieeexplore.ieee.org
Modern communication systems may benefit from the availability of sensor data leveraged
by sophisticated machine learning algorithms. We recently described how LIDAR (light …
by sophisticated machine learning algorithms. We recently described how LIDAR (light …
Learning site-specific probing beams for fast mmWave beam alignment
Beam alignment–the process of finding an optimal directional beam pair–is a challenging
procedure crucial to millimeter wave (mmWave) communication systems. We propose a …
procedure crucial to millimeter wave (mmWave) communication systems. We propose a …
Deep CNN for wideband mmWave massive MIMO channel estimation using frequency correlation
For millimeter wave (mmWave) systems with large-scale arrays, hybrid processing structure
is usually used at both transmitters and receivers to reduce the complexity and cost, which …
is usually used at both transmitters and receivers to reduce the complexity and cost, which …