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 …
Deep reinforcement learning based handoff algorithm in end-to-end network slicing enabling HetNets
F Yang, W Wu, X Wang, Y Zhang… - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
End-to-end network slicing, as a key technology in 5G and B5G mobile communication
systems, is to enable traditional wireless networks to support different services in vertical …
systems, is to enable traditional wireless networks to support different services in vertical …
ABRAHAM: machine learning backed proactive handover algorithm using SDN
E Zeljković, N Slamnik-Kriještorac… - … on Network and …, 2019 - ieeexplore.ieee.org
An important aspect of managing multi access point (AP) IEEE 802.11 networks is the
support for mobility management by controlling the handover process. Most handover …
support for mobility management by controlling the handover process. Most handover …
Distributed learning based handoff mechanism for radio access network slicing with data sharing
Network slicing (NS) has been identified as a fundamental technology for future mobile
networks to meet extremely diverse communication requirements by providing tailored …
networks to meet extremely diverse communication requirements by providing tailored …
ES-DQN-based vertical handoff algorithm for heterogeneous wireless networks
J Sun, Z Qian, X Wang, X Wang - IEEE Wireless …, 2020 - ieeexplore.ieee.org
One of the most challenging topics for next generation wireless networks is vertical handoff
concept since several wireless technologies are supposed to cooperate. In this letter …
concept since several wireless technologies are supposed to cooperate. In this letter …
SDWLAN: A flexible architecture of enterprise WLAN for client-unaware fast AP handoff
D Zhao, M Zhu, M Xu - Fifth International Conference on …, 2014 - ieeexplore.ieee.org
Currently, enterprise WLAN is facing rapid growth of user scale and traffic load, as well as
constantly emerging new features. However, traditional enterprise WLAN architecture suffers …
constantly emerging new features. However, traditional enterprise WLAN architecture suffers …
Changeover prediction model for improving handover support in campus area wlan
A handover in wireless networks is the mechanism to maintain quality of service (QoS) by
transferring an ongoing call or data connection from one point of access to another …
transferring an ongoing call or data connection from one point of access to another …
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 …
Cross-layer-based adaptive vertical handoff with predictive RSS in heterogeneous wireless networks
BJ Chang, JF Chen - IEEE Transactions on vehicular …, 2008 - ieeexplore.ieee.org
A heterogeneous wireless network consists of various wireless networks [eg, Worldwide
Interoperability for Microwave Access (WiMAX) and Wireless Fidelity (WiFi)] and cellular …
Interoperability for Microwave Access (WiMAX) and Wireless Fidelity (WiFi)] and cellular …
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 …