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Yung-Hsiang Wu

dblp:250/4559 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Physical-layer communications › modulation
adaptive modulation and coding
0.412019
Performance Analysis of Adaptive Multicast Streaming Services in Wireless Cellular Networks · IEEE Trans. Mob. Comput. 2019
Network performance modeling › queueing analysis
markovian queueing model
0.412019
Performance Analysis of Adaptive Multicast Streaming Services in Wireless Cellular Networks · IEEE Trans. Mob. Comput. 2019
Internet architecture and protocols › multicast
multicast streaming
0.412019
Performance Analysis of Adaptive Multicast Streaming Services in Wireless Cellular Networks · IEEE Trans. Mob. Comput. 2019
Network performance modeling
queueing analysis
0.412019
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
YearPublicationVenuePosition
2019 Performance Analysis of Adaptive Multicast Streaming Services in Wireless Cellular Networks
abstract
To 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