A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges
Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms
industry has been revolutionized by the concept of 5G networks. Since late 2018 …
industry has been revolutionized by the concept of 5G networks. Since late 2018 …
Wireless communication technology, apparatuses, and methods
E Alpman, AL Amadjikpe, O Asaf, K Azadet… - US Patent …, 2022 - Google Patents
Millimeter wave (mmWave) technology, apparatuses, and methods that relate to
transceivers, receivers, and antenna structures for wireless communications are described …
transceivers, receivers, and antenna structures for wireless communications are described …
Joint array diagnosis and channel estimation for RIS-aided mmWave MIMO system
B Li, Z Zhang, Z Hu, Y Chen - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we consider a reconfigurable intelligent surface (RIS) aided millimeter wave
(mmWave) multiple-input multiple-output (MIMO) system. The system can obtain the huge …
(mmWave) multiple-input multiple-output (MIMO) system. The system can obtain the huge …
Deep learning predictive band switching in wireless networks
In cellular systems, the user equipment (UE) can request a change in the frequency band
when its rate drops below a threshold on the current band. The UE is then instructed by the …
when its rate drops below a threshold on the current band. The UE is then instructed by the …
A Novel Dual-Driven Channel Estimation Scheme for Spatially Non-Stationary Fading Environments
Channel estimation is crucial to modern wireless systems and becomes increasingly
challenging when the ultra-sized antenna is configured in sub-6GHz wireless …
challenging when the ultra-sized antenna is configured in sub-6GHz wireless …
Two-Stage Channel Estimation in mmWave MIMO Systems With RIS Blockage
Accurate channel state information is crucial for directional beamforming in reconfigurable
intelligent surface (RIS) assisted millimeter wave (mmWave) multiple-input multiple-output …
intelligent surface (RIS) assisted millimeter wave (mmWave) multiple-input multiple-output …
[PDF][PDF] A comprehensive survey on 6g and beyond enabling technologies, opportunities of machine learning and challenges
A ThameurJawad, R Mâaloul, LC Fourati - Opportunities of Machine … - papers.ssrn.com
The rollout of the fifth-generation (5G) mobile network is underway in several countries. The
paradigm of 5G networks has transformed the entire telecommunications sector. The …
paradigm of 5G networks has transformed the entire telecommunications sector. The …
Applications of extreme gradient boosting for intelligent handovers from 4G to 5G (mm waves) technology with partial radio contact
SI Majid, SW Shah, SNK Marwat - Electronics, 2020 - mdpi.com
In a network topology, where 5G (mm Waves) have better coverage footprint compared to
4G (LTE or LTE-A) technology, mobile devices would generally be handed over from 4G to …
4G (LTE or LTE-A) technology, mobile devices would generally be handed over from 4G to …
Image Structural Similarity-Based Channel Similarity Analysis across Multiple Frequency Bands in the Office Campus Environment
C Yi, M Zhao, Z Chen, H Wang - 2023 IEEE/CIC International …, 2023 - ieeexplore.ieee.org
The coexistence of multiple frequency systems operating in well-separated frequency bands
show great promise for achieving both breadth and depth of coverage. It is necessary to …
show great promise for achieving both breadth and depth of coverage. It is necessary to …
Improving next-generation wireless network performance and reliability with deep learning
FB Mismar - 2020 - repositories.lib.utexas.edu
A rudimentary question whether machine learning in general, or deep learning in particular,
could add to the well-established field of wireless communications, which has been evolving …
could add to the well-established field of wireless communications, which has been evolving …