Machine learning-based handovers for sub-6 GHz and mmWave integrated vehicular networks

L Yan, H Ding, L Zhang, J Liu, X Fang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The integration of sub-6 GHz and millimeter wave (mmWave) bands has a great potential to
enable both reliable coverage and high data rate in future vehicular networks. Nevertheless …

MmWave vehicular beam selection with situational awareness using machine learning

Y Wang, A Klautau, M Ribero, ACK Soong… - IEEE …, 2019 - ieeexplore.ieee.org
Establishing and tracking beams in millimeter-wave (mmWave) vehicular communication is
a challenging task. Large antenna arrays and narrow beams introduce significant system …

Prediction-based conditional handover for 5G mm-wave networks: A deep-learning approach

C Lee, H Cho, S Song, JM Chung - IEEE Vehicular Technology …, 2020 - ieeexplore.ieee.org
Conditional handover (CHO) is one of several promising mobility enhancements in 5G
networks. By making preparation decisions earlier than in LTE HO, CHO can provide an …

Learning-based handover in mobile millimeter-wave networks

S Khosravi, H Shokri-Ghadikolaei… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication is considered as a key enabler of ultra-high data
rates in the future cellular and wireless networks. The need for directional communication …

A vertical handoff method via self-selection decision tree for internet of vehicles

S Wang, C Fan, CH Hsu, Q Sun… - IEEE Systems Journal, 2014 - ieeexplore.ieee.org
Vehicles often communicate among different networks in Internet of Vehicles (IoVs).
However, existing unstable network statuses and different user preferences result in vehicle …

[PDF][PDF] Dynamic Q-learning and fuzzy CNN based vertical handover decision for integration of DSRC, mmwave 5G and LTE in internet of vehicles (IoV).

SM Hussain, KM Yusof, KM Yusof - J. Commun., 2021 - eprints.utm.my
Internet of vehicles commonly known as IOV is a newly emerged area which with the help of
internet assisted communication provides the support to the vehicles. Due to the access of …

A two-tier machine learning-based handover management scheme for intelligent vehicular networks

N Aljeri, A Boukerche - Ad Hoc Networks, 2019 - Elsevier
With the increasing demand for real-time road safety services and infotainment applications
on vehicles, the development of an efficient wireless mobile communication became crucial …

Breaking the vehicular wireless communications barriers: Vertical handover techniques for heterogeneous networks

JM Marquez-Barja, H Ahmadi… - IEEE Transactions …, 2014 - ieeexplore.ieee.org
End users increasingly expect ubiquitous connectivity while on the move. With a variety of
wireless access technologies available, we expect to always be connected to the technology …

Intelligent handover decision scheme using double deep reinforcement learning

MS Mollel, AI Abubakar, M Ozturk, S Kaijage… - Physical …, 2020 - Elsevier
Handovers (HOs) have been envisioned to be more challenging in 5G networks due to the
inclusion of millimetre wave (mm-wave) frequencies, resulting in more intense base station …

Intelligent dual active protocol stack handover based on double DQN deep reinforcement learning for 5G mmWave networks

C Lee, J Jung, JM Chung - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
The recently proposed dual active protocol stack (DAPS) handover (HO) is one of the
mobility enhancements that can effectively reduce the handover interruption time (HIT) in 5G …