A tutorial on environment-aware communications via channel knowledge map for 6G
Sixth-generation (6G) mobile communication networks are expected to have dense
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …
Toward 6G networks: Use cases and technologies
Reliable data connectivity is vital for the ever increasingly intelligent, automated, and
ubiquitous digital world. Mobile networks are the data highways and, in a fully connected …
ubiquitous digital world. Mobile networks are the data highways and, in a fully connected …
Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels
M Alrabeiah, A Alkhateeb - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Predicting the millimeter wave (mmWave) beams and blockages using sub-6 GHz channels
has the potential of enabling mobility and reliability in scalable mmWave systems. Prior work …
has the potential of enabling mobility and reliability in scalable mmWave systems. Prior work …
Quantum secured 6G technology-based applications in Internet of Everything
Scientific and technological breakthroughs carry with themselves a pertinent question—
“what's next”. The evolution of mobile networks and spectrum technology over the last two …
“what's next”. The evolution of mobile networks and spectrum technology over the last two …
Six key challenges for beam management in 5.5 G and 6G systems
Future cellular networks will increasingly rely on the millimeter-wave bands to increase
capacity. Migrating to ever higher carrier frequencies will require increasingly directional …
capacity. Migrating to ever higher carrier frequencies will require increasingly directional …
Wideband beam tracking in THz massive MIMO systems
Terahertz (THz) massive multiple-input multiple-output (MIMO) has been considered as one
of the promising technologies for future 6G wireless communications. It is essential to obtain …
of the promising technologies for future 6G wireless communications. It is essential to obtain …
Deep learning for TDD and FDD massive MIMO: Mapping channels in space and frequency
M Alrabeiah, A Alkhateeb - 2019 53rd asilomar conference on …, 2019 - ieeexplore.ieee.org
Can we map the channels at one set of antennas and one frequency band to the channels at
another set of antennas-possibly at a different location and a different frequency band? If this …
another set of antennas-possibly at a different location and a different frequency band? If this …
A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …
technique that can be utilized to provide a fully data-driven network evaluating and …
5G MIMO data for machine learning: Application to beam-selection using deep learning
The increasing complexity of configuring cellular networks suggests that machine learning
(ML) can effectively improve 5G technologies. Deep learning has proven successful in ML …
(ML) can effectively improve 5G technologies. Deep learning has proven successful in ML …
LIDAR data for deep learning-based mmWave beam-selection
A Klautau, N González-Prelcic… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
Millimeter wave (mmWave) communication systems can leverage information from sensors
to reduce the overhead associated with link configuration. Light detection and ranging …
to reduce the overhead associated with link configuration. Light detection and ranging …