Machine learning-based approaches for user association and access point selection in heterogeneous fixed wireless networks

Khaled, Zayan El; Mcheick, Hamid; Ajib, Wessam

doi:10.1007/s11276-022-03053-2

Cited by 2 publications

(2 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ly Dinh et al [27] proposed a distributed user-to-multiple AP association approach that maximises both QoS and AP load constraints. El Khaled et al [28] proposed two algorithms that predict the success of a user association to APs in fixed wireless networks for rural and harsh propagation environments respectively. Finally, in our previous works, we addressed the AP association problem through a function called Fittingness Factor, which addresses the suitability of the available spectrum resources to the application requirements [29], including a solution based on Game Theory [30], and another based on a trusted and transparent collaboration among different stakeholders' APs [31].…”

Section: B Ap Association Solutionsmentioning

confidence: 99%

“…However, the lack of consideration for satisfying users' requirements as a key input for AP association is a major limitation in many of these approaches [19], [23]- [26], [28]. The solutions proposed in [17], [27], and [29]- [31] address this limitation by presenting AP association solutions that consider the suitability of each traffic with a specific AP in terms of users' requirements.…”

Section: B Ap Association Solutionsmentioning

confidence: 99%

See 1 more Smart Citation

A Trust-Based Cooperative System for Efficient Wi-Fi Radio Access Networks

Raschellà,

Eiza,

Mackay

et al. 2023

IEEE Access

View full text Add to dashboard Cite

This paper proposes a novel trust-based cooperative system to facilitate efficient Wi-Fi network access trading to solve the network congestion problem in a beneficial manner for both service providers and customers. The proposed system enables service providers to improve their users' application performance through a novel cooperative Access Point (AP) association solution. The system is based on a Software-Defined Wireless Network (SDWN) controller, which has a global view of users' devices, requirements, and APs. The SDWN controller is supported by Smart Contracts (SCs) as code of law, to liaise control among service providers according to the terms of their mutual agreements. Evaluation results in dense Wi-Fi network environments show how the system can significantly improve the overall performance for the cooperating network. Specifically, the results have been compared against the standard AP association approach and other centralised algorithms dealing with the same problem, in terms of the data bit rate provided to the users' stations (STAs), Quality of Experience (QoE), bandwidth and energy consumed by the APs.

show abstract