Demo Data from EDBT 2026 / reviewers in the wild / expert
Ting-Hsuan Wu
dblp:168/5856
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2019
0000-0002-6233-0019ORCID · reported
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 · 50% Wireless networking · 25% Cellular and mobile networks · 25% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless networking › cognitive radio › spectrum sharing
licensed-assisted access |
0.4 | 1 | 2019 | Unlicensed LTE Pricing for Tiered Content Delivery and Heterogeneous User Access · IEEE Trans. Mob. Comput. 2019 |
Cellular and mobile networks › LTE
LTE in unlicensed spectrum |
0.4 | 1 | 2019 | Unlicensed LTE Pricing for Tiered Content Delivery and Heterogeneous User Access · IEEE Trans. Mob. Comput. 2019 |
Network optimization and economics
pricing |
0.4 | 1 | 2019 | Unlicensed LTE Pricing for Tiered Content Delivery and Heterogeneous User Access · IEEE Trans. Mob. Comput. 2019 |
Network optimization and economics › pricing › resource pricing
spectrum pricing |
0.4 | 1 | 2019 | Unlicensed LTE Pricing for Tiered Content Delivery and Heterogeneous User Access · IEEE Trans. Mob. Comput. 2019 |
Methods — techniques the papers use, named apart from their topics
two-sided market · 0.4backward induction · 0.4auction theory · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Unlicensed LTE Pricing for Tiered Content Delivery and Heterogeneous User AccessabstractIt has been a significant issue to satisfy the rapidly growing data traffic with the limited wireless radio resources. Licensed-assisted access to unlicensed spectrum (e.g., LAA) brings hope for the service provider (SP) to mitigate the deficiency of radio resources. This work contributes on designing a pricing model in a licensed and unlicensed coexisting network, modelled as a two-sided market with content providers (CPs) and end users (EUs) at the SP's two sides. A premium content delivery deal is further designed via the optimal auction in order to efficiently allocate the scarce radio resources for the CPs with higher traffic load and QoS requirement. Thus, the SP and CPs form a prioritized spectrum game, and the SP and EUs form a radio access subscription game. By backward induction, we derive the basic delivery price and the premium delivery price to CPs, the reservation price, and the LTE-only and LAA subscription prices to EUs. Analysis shows that all players benefit from the premium delivery deal and co-existence of unlicensed LTE. When the unlicensed spectrum becomes reliable, all players' payoffs and the subscription ratio increase. In addition, the impact of the subsidies and technology heterogeneity are also addressed in this article. Mei-Ju Shih, Ting-Hsuan Wu, Hung-Yu Wei 0001 |
IEEE Trans. Mob. Comput. | 2 |
| 2015 | Tiered licensed-assisted access with paid prioritization: A game theoretic approach for unlicensed LTE
Ting-Hsuan Wu, Mei-Ju Shih, Hung-Yu Wei 0001 |
QSHINE | 1 |