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Yao-Wen Liu

dblp:373/4423 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Wireless networking · 57% Cellular and mobile networks · 28% Content delivery and video streaming · 7%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cellular and mobile networks › resource scheduling
OFDMA scheduling
0.912025
LOMAS: Latency-driven OFDMA Scheduling Design in Wi-Fi 6 Networks · ICNP 2025
Wireless networking › scheduling › quality-of-service scheduling
delay-aware scheduling
0.812024
Practical Latency-Aware Scheduling for Low-Latency Elephant VR Flows in Wi-Fi Networks · PerCom 2024
Wireless networking
WLAN
0.812024
Practical Latency-Aware Scheduling for Low-Latency Elephant VR Flows in Wi-Fi Networks · PerCom 2024
Wireless networking › WLAN › IEEE 802.11 amendment
wi-fi 6
0.312025
LOMAS: Latency-driven OFDMA Scheduling Design in Wi-Fi 6 Networks · ICNP 2025
Content delivery and video streaming › immersive video streaming
virtual reality streaming
0.212024
Practical Latency-Aware Scheduling for Low-Latency Elephant VR Flows in Wi-Fi Networks · PerCom 2024

Methods — techniques the papers use, named apart from their topics

priority queueing · 0.8linux wi-fi driver · 0.8
YearPublicationVenuePosition
2025 LOMAS: Latency-driven OFDMA Scheduling Design in Wi-Fi 6 Networks
Yi-An Tai, Yao-Wen Liu, Ping-Kuan Kao, Ting-Yu Lee, Cheng-I Hu, Chi-Yu Li 0001
ICNP2
2024 Practical Latency-Aware Scheduling for Low-Latency Elephant VR Flows in Wi-Fi Networks
abstract
Virtual reality (VR) applications are increasingly popular. With high-quality video streams and interactive content, they require both low-latency and high-bandwidth performance demands on the communication from the edge-based VR server to the VR headsets. Although most VR headsets are equipped with dedicated wired or wireless modules connected to the VR server, using common Wi-Fi networks to support them can be a promising trend due to convenience and low cost. However, current Wi-Fi Access Points (APs) cannot meet latency demands of low-latency elephant VR flows, especially in traffic congestion cases. We thus design a practical Wi-Fi scheduling solution, designated as LAST-PQ (Latency-Aware Scheduler with Two-level Priority Queueing), to support VR flows at the Wi-Fi AP. It monitors the runtime latency performance of VR flows while prioritizing scheduling for urgent flows, whose latency demands are at risk of violation. We implement LAST-PQ in Linux on a commodity Wi-Fi platform using an open-source Wi-Fi driver; it is compliant to the current Wi-Fi scheduling framework. The evaluation result shows that it can reduce latency by up to 79.89% in various congested scenarios; moreover, it consistently meets the latency demands of VR flows in cases of mobility at runtime.
Shao-Jung Lu, Wei-Xun Chen, Yu-Shao Su, Yu-Shou Chang, Yao-Wen Liu, Chi-Yu Li 0001, Guan-Hua Tu
PerCom5