VLDB 2026 Research / reviewers in the wild / expert
Jianshe Ma
dblp:124/7293
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · unresolved
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 |
Physical-layer communications · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
channel modeling |
0.4 | 1 | 2020 | Monte-Carlo Integration Models for Multiple Scattering Based Optical Wireless Communication · IEEE Trans. Commun. 2020 |
Physical-layer communications › channel modeling › channel characterization
impulse response |
0.4 | 1 | 2020 | Monte-Carlo Integration Models for Multiple Scattering Based Optical Wireless Communication · IEEE Trans. Commun. 2020 |
Physical-layer communications
optical wireless communication |
0.4 | 1 | 2020 | Monte-Carlo Integration Models for Multiple Scattering Based Optical Wireless Communication · IEEE Trans. Commun. 2020 |
Methods — techniques the papers use, named apart from their topics
monte carlo integration · 0.4importance sampling · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Monte-Carlo Integration Models for Multiple Scattering Based Optical Wireless CommunicationabstractMonte-Carlo models are analyzed for multiple scattering channels in optical wireless communications. It is demonstrated that the system impulse response function can be obtained by Monte-Carlo integration model. The convergence performance for the Monte-Carlo integration model is analyzed and improved by introducing different sampling methods. The simulation results show that the gamma function model for channel impulse response function can only be applied to the cases where the common volume between the transmitted light beam and the receiving field-of-view is open. Numerical simulation suggests that for a three-order scattering case, the computation efficiency of the Monte-Carlo integration model based on partial importance sampling is about 12 times of the original Monte-Carlo integration model based on uniform sampling, and 5.6 times of the widely used Monte-Carlo simulation model. The numerical results also show that the Monte-Carlo integration model based on partial importance sampling has higher computation efficiency than the Monte-Carlo simulation model in a higher-order scattering communication scenario. Renzhi Yuan, Jianshe Ma, Ping Su, Yuhan Dong, Julian Cheng 0001 |
IEEE Trans. Commun. | 2 |