Demo Data from EDBT 2026 / reviewers in the wild / expert
Guixian Wang
dblp:271/9588
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 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
2 papers |
Cellular and mobile networks · 52% Edge and fog computing · 27% Network measurement and analytics · 16% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Energy-efficient computing · 100% |
Topics — the 8 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cellular and mobile networks › radio access networks › cellular access
5g radio access network |
0.6 | 1 | 2022 | Tutti: coupling 5G RAN and mobile edge computing for latency-critical video analytics · MobiCom 2022 |
Edge and fog computing
mobile edge computing |
0.6 | 1 | 2022 | Tutti: coupling 5G RAN and mobile edge computing for latency-critical video analytics · MobiCom 2022 |
Cellular and mobile networks
5g |
0.4 | 1 | 2020 | Understanding Operational 5G: A First Measurement Study on Its Coverage, Performance and Energy Consumption · SIGCOMM 2020 |
Cellular and mobile networks › 5g
5g performance measurement |
0.4 | 1 | 2020 | Understanding Operational 5G: A First Measurement Study on Its Coverage, Performance and Energy Consumption · SIGCOMM 2020 |
Network measurement and analytics › mobile network measurement
cellular network measurement |
0.4 | 1 | 2020 | Understanding Operational 5G: A First Measurement Study on Its Coverage, Performance and Energy Consumption · SIGCOMM 2020 |
Edge and fog computing
video analytics |
0.2 | 1 | 2022 | Tutti: coupling 5G RAN and mobile edge computing for latency-critical video analytics · MobiCom 2022 |
Transport protocols and congestion control
TCP performance |
0.1 | 1 | 2020 | Understanding Operational 5G: A First Measurement Study on Its Coverage, Performance and Energy Consumption · SIGCOMM 2020 |
Energy-efficient computing › power management
mobile device energy |
0.1 | 1 | 2020 | Understanding Operational 5G: A First Measurement Study on Its Coverage, Performance and Energy Consumption · SIGCOMM 2020 |
Methods — techniques the papers use, named apart from their topics
measurement study · 0.9software-defined networking · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Tutti: coupling 5G RAN and mobile edge computing for latency-critical video analyticsabstractMobile edge computing (MEC), as a key ingredient of the 5G ecosystem, is envisioned to support demanding applications with stringent latency requirements. The basic idea is to deploy servers close to end-users, e.g., on the network edge-side instead of the remote cloud. While conceptually reasonable, we find that the operational 5G is not coordinated with MEC and thus suffers from intolerable long response latency. In this work, we propose Tutti, which couples 5G RAN and MEC at the user space to assure the performance of latency-critical video analytics. To enable such capacity, Tutti precisely customizes the application service demand by fusing instantaneous wireless dynamics from the 5G RAN and application-layer content changes from edge servers. Tutti then enforces a deadline-sensitive resource provision for meeting the application service demand by real-time interaction between 5G RAN and edge servers in a lightweight and standard-compatible way. We prototype and evaluate Tutti on a software-defined platform, which shows that Tutti reduces the response latency by an average of 61.69% compared with the existing 5G MEC system, as well as negligible interaction costs. Dongzhu Xu, Anfu Zhou, Guixian Wang, Jialiang Pei, Huadong Ma |
MobiCom | 3 |
| 2020 | Understanding Operational 5G: A First Measurement Study on Its Coverage, Performance and Energy Consumptionabstract5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. On the other hand, as 5G has been deployed for only a few months, it is unclear how well and whether 5G can eventually meet its prospects. In this paper, we demystify operational 5G networks through a first-of-its-kind cross-layer measurement study. Our measurement focuses on four major perspectives: (i) Physical layer signal quality, coverage and hand-off performance; (ii) End-to-end throughput and latency; (iii) Quality of experience of 5G's niche applications (e.g., 4K/5.7K panoramic video telephony); (iv) Energy consumption on smartphones. The results reveal that the 5G link itself can approach Gbps throughput, but legacy TCP leads to surprisingly low capacity utilization (< 32%), latency remains too high to support tactile applications and power consumption escalates to 2 - 3x over 4G. Our analysis suggests that the wireline paths, upper-layer protocols, computing and radio hardware architecture need to co-evolve with 5G to form an ecosystem, in order to fully unleash its potential. Dongzhu Xu, Anfu Zhou, Xinyu Zhang 0003, Guixian Wang, Congkai An, Yiming Shi, Liang Liu 0001, Huadong Ma |
SIGCOMM | 4 |