Handover management in dense networks with coverage prediction from sparse networks

M Mollel, M Ozturk, M Kisangiri… - 2019 IEEE Wireless …, 2019 - ieeexplore.ieee.org
Millimeter Wave (mm-Wave) provides high bandwidth and is expected to increase the
capacity of the network thousand-fold in the future generations of mobile communications …

Machine learning based handover execution algorithm for heterogeneous wireless networks

N Nayakwadi, R Fatima - 2020 Fifth International Conference …, 2020 - ieeexplore.ieee.org
Amalgamation of mmWave and LTE sub-6 provides an advantage in enhancing the
reliability, communication bandwidth and optimized coverage of intelligent network and its …

Design and implementation of SDN-based handover in 5G mmWave

N Dhruvik, AJ Karia, A Khatri… - 2021 6th International …, 2021 - ieeexplore.ieee.org
5G networks are more reliable than the widely used 4G network. They have extremely low
latency and greater capacity. Apart from these benefits, 5G networks have speeds ranging …

LiDAR-aided mobile blockage prediction in real-world millimeter wave systems

S Wu, C Chakrabarti… - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
Line-of-sight link blockages represent a key challenge for the reliability and latency of
millimeter wave (mmWave) and terahertz (THz) communication networks. This paper …

Dual-Connectivity Handover Scheme for a 5G-Enabled Ambulance

Y Zhao, X Zhang, X Gao, K Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Remote first-aid treatment on ambulances is a promising application of 5G. However, there
still exist gaps between the capabilities of current 5G networks and the stringent …

Mobility management for heterogeneous networks: Leveraging millimeter wave for seamless handover

O Semiari, W Saad, M Bennis… - GLOBECOM 2017-2017 …, 2017 - ieeexplore.ieee.org
One of the most promising approaches to overcome the uncertainty and dynamic channel
variations of millimeter wave (mmW) communications is to deploy dual-mode base stations …

Cooperative sensing in deep RL-based image-to-decision proactive handover for mmWave networks

Y Koda, K Nakashima, K Yamamoto… - 2020 IEEE 17th …, 2020 - ieeexplore.ieee.org
For reliable millimeter-wave (mmWave) networks, this paper proposes cooperative sensing
with multi-camera operation in an image-to-decision proactive handover framework that …

Machine learning for reliable mmwave systems: Blockage prediction and proactive handoff

A Alkhateeb, I Beltagy, S Alex - 2018 IEEE Global conference …, 2018 - ieeexplore.ieee.org
The sensitivity of millimeter wave (mmWave) signals to blockages is a fundamental
challenge for mobile mmWave communication systems. The sudden blockage of the line-of …

Efficient Deep-Learning Models for Future Blockage and Beam Prediction for mmWave Systems

SK Vankayala, SKS Gollapudi, B Jain… - NOMS 2023-2023 …, 2023 - ieeexplore.ieee.org
Massive multiple-input multiple-output (mMIMO) and millimeter waves (mmWaves) are
considered to be key technologies for 5G and beyond wireless communications. Massive …

A deep learning framework for blockage mitigation and duration prediction in mmWave wireless networks

A Almutairi, A Keshavarz-Haddad, E Aryafar - Ad Hoc Networks, 2024 - Elsevier
Millimeter-Wave (mmWave) communication can be highly affected by blockages, which can
drastically decrease the signal strength at the receiver side. To overcome the impact of …