Demo Data from EDBT 2026 / reviewers in the wild / expert
Yung-Hsiang Wu
dblp:250/4559
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
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
1 paper |
Network performance modeling · 46% Internet architecture and protocols · 23% Physical-layer communications · 23% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › modulation
adaptive modulation and coding |
0.4 | 1 | 2019 | Performance Analysis of Adaptive Multicast Streaming Services in Wireless Cellular Networks · IEEE Trans. Mob. Comput. 2019 |
Network performance modeling › queueing analysis
markovian queueing model |
0.4 | 1 | 2019 | Performance Analysis of Adaptive Multicast Streaming Services in Wireless Cellular Networks · IEEE Trans. Mob. Comput. 2019 |
Internet architecture and protocols › multicast
multicast streaming |
0.4 | 1 | 2019 | Performance Analysis of Adaptive Multicast Streaming Services in Wireless Cellular Networks · IEEE Trans. Mob. Comput. 2019 |
Network performance modeling
queueing analysis |
0.4 | 1 | 2019 | Performance Analysis of Adaptive Multicast Streaming Services in Wireless Cellular Networks · IEEE Trans. Mob. Comput. 2019 |
Methods — techniques the papers use, named apart from their topics
markovian queueing model · 0.4admission control · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Performance Analysis of Adaptive Multicast Streaming Services in Wireless Cellular NetworksabstractTo improve bandwidth efficiency, multicast is used for mobile IPTV services. However, conventional multicast employs the most robust (lowest rate) modulation and coding scheme (MCS) for all multicasting channels to ensure that all users in a cell can receive videos with acceptable quality, leading to the worst spectral efficiency. To improve spectral efficiency, the adaptive MCS multicasting (aMCSm) scheme, which dynamically adjusts the MCS of each multicasting channel according to channel users' received signal-to-noise ratios (SNRs), was proposed. In this paper, the blocking rate, dropping rate, and bandwidth usage of mobile IPTV services under the aMCSm and the proposed admission control mechanism were analyzed based on a Markovian queueing model. The proposed mathematical model considers adaptive modulation and coding (AMC), time-varying link characteristics, channel popularity, and channel switching behavior. Numerical results demonstrate that our mathematical analyses are accurate and the aMCSm achieves better blocking rate and bandwidth usage performance, compared with the conventional multicast and multi-partition multicast schemes. The impact of channel switching or MCS variation on the performance of mobile IPTV services was investigated as well. Mingfu Li, Yung-Hsiang Wu |
IEEE Trans. Mob. Comput. | 2 |