Handover control in wireless systems via asynchronous multiuser deep reinforcement learning
In this paper, we propose a two-layer framework to learn the optimal handover (HO)
controllers in possibly large-scale wireless systems supporting mobile Internet-of-Things …
controllers in possibly large-scale wireless systems supporting mobile Internet-of-Things …
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 …
Advanced handover self-optimization approach for 4G/5G HetNets using weighted fuzzy logic control
The future fifth generation (5G) wireless communications support the ultra-dense networks
where deployments of a large number of small cells coexist with current 4G networks …
where deployments of a large number of small cells coexist with current 4G networks …
5G handover using reinforcement learning
V Yajnanarayana, H Rydén… - 2020 IEEE 3rd 5G World …, 2020 - ieeexplore.ieee.org
In typical wireless cellular systems, the handover mechanism involves reassigning an
ongoing session handled by one cell into another. In order to support increased capacity …
ongoing session handled by one cell into another. In order to support increased capacity …
Mobility management in 5G and beyond: a novel smart handover with adaptive Time-to-trigger and hysteresis margin
R Karmakar, G Kaddoum… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The 5th Generation (5G) New Radio (NR) and beyond technologies will support enhanced
mobile broadband, very low latency communications, and huge numbers of mobile devices …
mobile broadband, very low latency communications, and huge numbers of mobile devices …
Joint optimization of handover control and power allocation based on multi-agent deep reinforcement learning
D Guo, L Tang, X Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we study the handover (HO), and power allocation problem in a two-tier
heterogeneous network (HetNet), which consists of a macro base station, and some …
heterogeneous network (HetNet), which consists of a macro base station, and some …
[HTML][HTML] Intelligent coordinated self-optimizing handover scheme for 4G/5G heterogeneous networks
Mobile connections and applications are growing unprecedentedly with the advent and
increasing popularity of wireless services worldwide, which greatly increases the demands …
increasing popularity of wireless services worldwide, which greatly increases the demands …
Intelligent handover triggering mechanism in 5G ultra-dense networks via clustering-based reinforcement learning
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 …
users a high transmission rate and efficient radio resource management. However, UDNs …
Joint server selection, cooperative offloading and handover in multi-access edge computing wireless network: A deep reinforcement learning approach
Multi-access edge computing (MEC) is the key enabling technology that supports compute-
intensive applications in 5G networks. By deploying powerful servers at the edge of wireless …
intensive applications in 5G networks. By deploying powerful servers at the edge of wireless …
Artificial intelligence-based handoff management for dense WLANs: A deep reinforcement learning approach
Z Han, T Lei, Z Lu, X Wen, W Zheng, L Guo - IEEE Access, 2019 - ieeexplore.ieee.org
So far, the handoff management involved in the wireless local area network (WLAN) has
mainly fallen into the handoff mechanism and the decision algorithm. The traditional handoff …
mainly fallen into the handoff mechanism and the decision algorithm. The traditional handoff …