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Conference Papers Year : 2021

Exploiting Frame Aggregation to Enhance Access Point Selection

Nour El Houda Bouzouita
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Anthony Busson


IEEE 802.11 (known as Wi-Fi) has emerged as a vital wireless network access technology for mobile devices. By providing the potential for high connectivity speeds, this technology has led to a dramatic rise in the number of access points (APs). In such environments, mobile devices have the choice to join several Wi-Fi networks. Despite its importance to user Quality of Experience (QoE), the AP selection is still trivial since it focuses at best on the received signal strength if not only the user's history. Crucial metrics that capture the overall dynamics of the AP load condition, such as the network load, are not taken into account. In this paper, we propose to use the Busy Time Fraction (BTF) as a metric to choose the best AP to attach to. The BTF level of a given channel is inferred based on the frame aggregation scheme proposed since the 802.11n standard. In this regard, we propose an analytical model based on a Discrete-Time Markov chain that discerns the theoretical DownLink aggregation levels for probe traffic concurrent to cross traffic. We validate the accuracy of our proposed approach against ns-3 simulations under several scenarios.
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Dates and versions

hal-03362285 , version 1 (01-10-2021)



Nour El Houda Bouzouita, Anthony Busson, Hervé Rivano. Exploiting Frame Aggregation to Enhance Access Point Selection. PE-WASUN 2021 - 18th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, Nov 2021, Alicante, Spain. pp.1-8, ⟨10.1145/3479240.3488507⟩. ⟨hal-03362285⟩
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