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Ssu-Shih Chen

dblp:34/11343 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—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 optimization and economics · 44% Internet architecture and protocols · 44% Cellular and mobile networks · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet architecture and protocols
multicast
0.112012
A novel multi-tariff charging method for next generation Multicast and Broadcast Service · INFOCOM 2012
Network optimization and economics
pricing
0.112012
A novel multi-tariff charging method for next generation Multicast and Broadcast Service · INFOCOM 2012
Cellular and mobile networks › mobile multimedia
multicast broadcast service
0.012012
A novel multi-tariff charging method for next generation Multicast and Broadcast Service · INFOCOM 2012

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

multi-tariff charging · 0.1game-theoretic analysis · 0.1
YearPublicationVenuePosition
2012 A novel multi-tariff charging method for next generation Multicast and Broadcast Service
abstract
Different from unicast data delivery through dedicated channels, next generation Multicast and Broadcast Service (MBS) delivers data with higher bandwidth efficiency through multicasting. When a group of online users receive the same MBS content, the average MBS network cost per user can be significantly reduced. However, traditional charging methods are unable to account for the variation of network resource. To address this shortfall, this paper develops an innovative concept in MBS charging to realize the goal that “the more users join an MBS session, the more everyone saves.” Specifically, we propose a multi-tariff charging method for MBS with a competitive advantage that attracts more users to subscribe to MBS services. Analysis and numerical results demonstrate that operators can alleviate customer concerns about user credit consumption with dynamic tariff while remaining profitable in MBS. These features in our multi-tariff charging method can create a “win-win” situation for both operators and subscribers.
Sok-Ian Sou, Phone Lin, Ssu-Shih Chen, Jeu-Yih Jeng
INFOCOM3