Demo Data from EDBT 2026 / reviewers in the wild / expert
Lilian Coelho de Freitas
dblp:381/9658
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0001-7179-8476ORCID · 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 · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cellular and mobile networks
5g |
0.8 | 1 | 2024 | Unveiling the 5G Mid-Band Landscape: From Network Deployment to Performance and Application QoE · SIGCOMM 2024 |
Cellular and mobile networks › 5g
5g performance measurement |
0.8 | 1 | 2024 | Unveiling the 5G Mid-Band Landscape: From Network Deployment to Performance and Application QoE · SIGCOMM 2024 |
Methods — techniques the papers use, named apart from their topics
measurement study · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Unveiling the 5G Mid-Band Landscape: From Network Deployment to Performance and Application QoEabstract5G in mid-bands has become the dominant deployment of choice in the world. We present - to the best of our knowledge - the first comprehensive and comparative cross-country measurement study of commercial mid-band 5G deployments in Europe and the U.S., filling a gap in the existing 5G measurement studies. We unveil the key 5G mid-band channels and configuration parameters used by various operators in these countries, and identify the major factors that impact the observed 5G performance both from the network (physical layer) perspective as well as the application perspective. We characterize and compare 5G mid-band throughput and latency performance by dissecting the 5G configurations, lower-layer parameters as well as deployment settings. By cross-correlating 5G parameters with the application decision process, we demonstrate how 5G parameters affect application QoE metrics and suggest a simple approach for QoE enhancement. Our study sheds light on how to better configure and optimize 5G mid-band networks, and provides guidance to users and application developers on operator choices and application QoE tuning. We released the datasets and artifacts at https://github.com/SIGCOMM24-5GinMidBands/artifacts. Rostand A. K. Fezeu, Claudio Fiandrino, Eman Ramadan, Jason Carpenter, Lilian Coelho de Freitas, Faaiq Bilal, Wei Ye 0009, Jörg Widmer, Feng Qian 0001, Zhi-Li Zhang |
SIGCOMM | 5 |