Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution using Radar-Aided Dynamic Blockage Recognition

M Al-Quraan, A Zoha, A Centeno… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This article introduces a new method to improve the dependability of millimeter-wave
(mmWave) and terahertz (THz) network services in dynamic outdoor environments. In these …

Automatic handover execution technique using machine learning algorithm for heterogeneous wireless networks

N Nayakwadi, R Fatima - International Journal of Information Technology, 2021 - Springer
Integrating LTE sub-6 GHz and millimeter wave (mmWave) bands brings great benefit in
increasing communication bandwidth, reliability, and better coverage of future smart …

Blockage prediction using wireless signatures: Deep learning enables real-world demonstration

S Wu, M Alrabeiah, C Chakrabarti… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
Overcoming the link blockage challenges is essential for enhancing the reliability and
latency of millimeter wave (mmWave) and sub-terahertz (sub-THz) communication networks …

Performance of predictive indoor mmWave networks with dynamic blockers

A Bonfante, LG Giordano, I Macaluso… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we consider millimeter Wave (mmWave) technology to provide reliable
wireless network service within factories where links may experience rapid and temporary …

Facilitating mmWave mesh reliability in PPDR scenarios utilizing artificial intelligence

R Pirmagomedov, D Moltchanov, A Ometov… - IEEE …, 2019 - ieeexplore.ieee.org
The use of advanced AR/VR applications may benefit the efficiency of collaborative public
protection and disaster relief (PPDR) missions by providing better situational awareness and …

PBPHS: a profile-based predictive handover strategy for 5G networks

J Sun, Y Zhang, M Trik - Cybernetics and Systems, 2024 - Taylor & Francis
One of the necessities of mobile networks is uninterrupted access to wireless services,
taking into account the requirements of quality of service. With the development of the fifth …

Using an Efficient Technique Based on Dynamic Learning Period for Improving Delay in AI‐Based Handover

SI Majid, SW Shah, SNK Marwat… - Mobile Information …, 2021 - Wiley Online Library
The future high‐speed cellular networks require efficient and high‐speed handover
mechanisms. However, the traditional cellular handovers are based upon measurements of …

Safehaul: Risk-averse learning for reliable mmWave self-backhauling in 6G networks

AA Gargari, A Ortiz, M Pagin, A Klein… - … -IEEE Conference on …, 2023 - ieeexplore.ieee.org
Wireless backhauling at millimeter-wave frequencies (mmWave) in static scenarios is a well-
established practice in cellular networks. However, highly directional and adaptive …

Intelligent handover triggering mechanism in 5G ultra-dense networks via clustering-based reinforcement learning

Q Liu, CF Kwong, S Wei, L Li, S Zhang - Mobile Networks and Applications, 2021 - Springer
Ultra-dense networks (UDNs) are considered as key 5G technologies. They provide mobile
users a high transmission rate and efficient radio resource management. However, UDNs …

Prediction of mmWave/THz link blockages through meta-learning and recurrent neural networks

AE Kalør, O Simeone, P Popovski - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Wireless applications that rely on links that offer high reliability depend critically on the
capability of the system to predict link quality within a given time interval. This dependence is …