2021 IEEE Wireless Communications and Networking Conference (WCNC) 2021
DOI: 10.1109/wcnc49053.2021.9417269
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Target Wake Time Scheduling Strategies for Uplink Transmission in IEEE 802.11ax Networks

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Cited by 11 publications
(3 citation statements)
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“…We use 𝑇 inter−slot to denote this inter-slot period. Then, we subdivide 𝑇 inter−slot as many times as the number of stations in time slots of equal size (this is in general agreement with [12]). Each STA is allocated a single slot whose position in the inter-slot period remains the same over the whole simulation.…”
Section: Configuring the Energy-saving Strategiesmentioning
confidence: 61%
See 1 more Smart Citation
“…We use 𝑇 inter−slot to denote this inter-slot period. Then, we subdivide 𝑇 inter−slot as many times as the number of stations in time slots of equal size (this is in general agreement with [12]). Each STA is allocated a single slot whose position in the inter-slot period remains the same over the whole simulation.…”
Section: Configuring the Energy-saving Strategiesmentioning
confidence: 61%
“…Using this model, the authors demonstrate how to configure the parameters of the RAW mechanism in a scenario where STAs have different requirements in terms of throughput and energy consumption. In [12], the authors compare different…”
Section: Related Workmentioning
confidence: 99%
“…Note that these studies mainly aim at maximizing the network throughput in dense scenarios with energy-saving being at most a secondary objective. In the case of individual TWT, Yang, Lee and Bahk (2021) propose to cast TWT as a Time Division Multiple Access problems, to which they apply classical schedulers, such as max-rate or proportional fairness schedulers. Through simulation, the authors demonstrate that TWT enhances throughput, fairness, and energy consumption compared to a WLAN with no MAC energy-saving mechanism, whichever scheduler is chosen.…”
Section: Twtmentioning
confidence: 99%