A literature survey on AI-aided beamforming and beam management for 5G and 6G systems
DS Brilhante, JC Manjarres, R Moreira… - Sensors, 2023 - mdpi.com
Modern wireless communication systems rely heavily on multiple antennas and their
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …
[HTML][HTML] Handover parameter for self-optimisation in 6G mobile networks: A survey
One of the most crucial issues in mobile networks is ensuring reliable and stable
connectivity during mobility. In recent years, numerous research has examined Fourth …
connectivity during mobility. In recent years, numerous research has examined Fourth …
Carrier phase ranging for indoor positioning with 5G NR signals
Indoor positioning is one of the core technologies of Internet of Things (IoT) and artificial
intelligence (AI) and is expected to play a significant role in the upcoming era of AI …
intelligence (AI) and is expected to play a significant role in the upcoming era of AI …
A survey of machine learning applications to handover management in 5G and beyond
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …
networks that need to be properly managed since it poses multiple threats to quality-of …
D2D-based cooperative positioning paradigm for future wireless systems: A survey
Emerging communication network applications require a location accuracy of less than 1 m
in more than 95% of the service area. For this purpose, 5G New Radio (NR) technology is …
in more than 95% of the service area. For this purpose, 5G New Radio (NR) technology is …
A survey on the handover management in 5G-NR cellular networks: aspects, approaches and challenges
With the purpose of providing higher data rate and ultra-reliable and low-latency
communications for the users, employing the small cells in the upcoming Fifth-Generation …
communications for the users, employing the small cells in the upcoming Fifth-Generation …
Deep Learning‐Based Solutions for 5G Network and 5G‐Enabled Internet of Vehicles: Advances, Meta‐Data Analysis, and Future Direction
MS Almutairi - Mathematical Problems in Engineering, 2022 - Wiley Online Library
The advent of the 5G mobile network has brought a lot of benefits. However, it prompted new
challenges on the 5G network cybersecurity defense system, resource management …
challenges on the 5G network cybersecurity defense system, resource management …
Applied machine learning for IIOT and smart production—Methods to improve production quality, safety and sustainability
Industrial IoT (IIoT) has revolutionized production by making data available to stakeholders
at many levels much faster, with much greater granularity than ever before. When it comes to …
at many levels much faster, with much greater granularity than ever before. When it comes to …
Argus: Predictable millimeter-wave picocells with vision and learning augmentation
We propose Argus, a system to enable millimeter-wave (mmWave) deployers to quickly
complete site-surveys without sacrificing the accuracy and effectiveness of thorough network …
complete site-surveys without sacrificing the accuracy and effectiveness of thorough network …
Deep learning models applied to prediction of 5G technology adoption
IF Zamzami - Applied Sciences, 2022 - mdpi.com
The issue addressed by this research study is the public's scepticism about the benefits of
adopting 5G technology. Some have even gone so far as to say that the technology can be …
adopting 5G technology. Some have even gone so far as to say that the technology can be …