Demo Data from EDBT 2026 / reviewers in the wild / expert
Jorge Garcia-Cabeza
dblp:389/2328
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0009-6273-3676ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021
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 |
Cellular and mobile networks · 44% Network optimization and economics · 44% Network measurement and analytics · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network optimization and economics
network optimization |
0.8 | 1 | 2024 | Poster: Estimating Cell Load from End-user Crowdsourced Measurements in a Real-world Cellular Network · IMC 2024 |
Cellular and mobile networks
radio access networks |
0.8 | 1 | 2024 | Poster: Estimating Cell Load from End-user Crowdsourced Measurements in a Real-world Cellular Network · IMC 2024 |
Methods — techniques the papers use, named apart from their topics
crowdsourced measurement · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Poster: Estimating Cell Load from End-user Crowdsourced Measurements in a Real-world Cellular NetworkabstractOptimizing mobile networks in the rapidly evolving field of wireless communication is increasingly challenging due to two main issues associated with current methods. First, the technical complexity of the Radio Access Network (RAN) with multiple technologies, frequency bands, and cell sizes makes it difficult for manual processing to keep pace with the growing number of issues to be resolved. Second, network optimization usually focuses on data gathered by network equipment, i.e. base stations, and overlooks user-side information, which can offer data with better spatial precision and more accurate Quality of Service (QoS) as seen by the end user. Zoraida Frias, Luis Mendo, Jorge Garcia-Cabeza |
IMC | 3 |