1er exposé donné par Thomas
Title: An Analytical Method to Configure TWT in WLANs
Abstract: Wake Time (TWT) is a promising energy-
saving mechanism introduced in the IEEE 802.11 standard
for Wireless Local Area Networks (WLANs), enabling stations
(STAs) to negotiate periodic service periods (SPs) with Access
Points (APs) and thereby switch off their radio modules outside
these intervals to conserve energy. Despite its potential, the
standard lacks clear guidelines for configuring TWT parameters,
and the existing literature remains limited. In this paper, we
propose an analytical approach to adequately configure TWT
parameter settings for individual STAs. We derive closed-form
expressions for key performance metrics, namely, mean packet
delay, packet loss rate, and average power consumption, based
on TWT agreement parameters and the rate of traffic. Our
model incorporates batch arrivals in both uplink and downlink
directions and is validated through simulation. Building on
this model, we present a configuration procedure that meets
predefined Quality of Service (QoS) objectives and we illustrate
its application through a case study involving video streaming.
# 2e exposé donné par Loïc
Title: PMSA: Power Mode Selection Algorithm in IEEE 802.11 WLANs operating TWT
Abstract: Target Wake Time (TWT) is a key energy-saving
mechanism in IEEE 802.11 WLANs, allowing stations (STAs) to
reduce power consumption by restricting transmissions to sched-
uled service periods (SPs). Despite its potential, TWT remains
underutilized due to concerns over performance degradation,
especially under congested network conditions. In this paper, we
address this limitation by proposing the Power Mode Selection
Algorithm (PMSA), a lightweight and standard-compliant mech-
anism implemented at the Access Point (AP). PMSA operates
on top of existing TWT schedulers and dynamically determines
whether each STA should operate in power save (PS) mode or
temporarily switch to active mode (and disable TWT) based on
current network congestion. Our simulation results demonstrate
that PMSA enhances the robustness of TWT scheduling by adapt-
ing to traffic conditions, maintaining low delays and avoiding
packet losses even under heavy load, while preserving energy
savings when feasible.
Français 
English (UK)