A systematic review of load balancing techniques in software-defined networking
The traditional networks are facing difficulties in managing the services offered by cloud
computing, big data, and the Internet of Things as the users have become more dependent …
computing, big data, and the Internet of Things as the users have become more dependent …
Reinforcement learning with network-assisted feedback for heterogeneous RAT selection
Future wireless networks (eg, 5G) will consist of multiple radio access technologies (RATs).
In these networks, deciding which RAT users should connect to is not a trivial problem …
In these networks, deciding which RAT users should connect to is not a trivial problem …
Towards wifi mobility without fast handover
WiFi is emerging as the preferred connectivity solution for mobile clients because of its low
power consumption and high capacity. Dense urban WiFi deployments cover entire central …
power consumption and high capacity. Dense urban WiFi deployments cover entire central …
Compound TCP Performance for Industry 4.0 WiFi: A Cognitive Federated Learning Approach
SR Pokhrel, S Singh - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Understanding the performance of compound transmission control protocol (C-TCP) in
wireless settings is complicated because of C-TCP's hybrid congestion control, and the …
wireless settings is complicated because of C-TCP's hybrid congestion control, and the …
Strategic deployment of RSUs in urban settings: Optimizing IEEE 802.11 p infrastructure
The efficient deployment of Roadside Units (RSUs) in an infrastructure based on IEEE
802.11 p is essential for delivering Internet-based services to vehicles. In this paper, we …
802.11 p is essential for delivering Internet-based services to vehicles. In this paper, we …
Joint radio resource management of channel-assignment and user-association for load balancing in dense WLAN environment
HS Oh, DG Jeong, WS Jeon - IEEE Access, 2020 - ieeexplore.ieee.org
IEEE 802.11-based wireless local area network (WLAN) is currently the most popular
communication system and a lot of access points (APs) have been densely deployed over …
communication system and a lot of access points (APs) have been densely deployed over …
Association optimization in Wi-Fi networks: Use of an access-based fairness
M Amer, A Busson, I Guérin Lassous - Proceedings of the 19th ACM …, 2016 - dl.acm.org
Densification of Wi-Fi networks has led to the possibility for a station to choose between
several access points (APs). On the other hand, the densification of APs generates …
several access points (APs). On the other hand, the densification of APs generates …
On-line client association scheme based on reinforcement learning for WLAN networks
Emergent WLAN applications demand more and more network resources. At the same time,
the increasing number of users leads to dense WLAN networks. In this context, the standard …
the increasing number of users leads to dense WLAN networks. In this context, the standard …
[PDF][PDF] Multi-agent nonlinear negotiation for Wi-Fi channel assignment
E De La Hoz, I Marsa-Maestre… - Proceedings of the 16th …, 2017 - ifaamas.org
Optimizing resource use in complex networks with self-interested participants (eg
transportation networks, electric grids, Internet systems) is a challenging and increasingly …
transportation networks, electric grids, Internet systems) is a challenging and increasingly …
An optimal distributed algorithm for best AP selection and load balancing in WiFi
The ubiquitous use of IEEE 802.11 has aggravated the need to make efficient use of
available bandwidth. Currently handoff decision in IEEE 802.11 is made based on the …
available bandwidth. Currently handoff decision in IEEE 802.11 is made based on the …