EDBT 2026 Demo / reviewers in the wild / expert
Liang C. Chu
dblp:39/3224
· DBLP profile ↗
3ranked-venue papers
2as first author
1since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 2 first-author · 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 |
Vehicular, aerial and satellite networks · 46% Cellular and mobile networks · 27% Network management and operations · 27% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Vehicular, aerial and satellite networks
aerial networks |
1.0 | 1 | 2026 | Autonomous Self-Healing UAV Swarms for Robust 6G Non-Terrestrial Networks · INFOCOM 2026 |
Cellular and mobile networks
6g |
0.3 | 1 | 2026 | Autonomous Self-Healing UAV Swarms for Robust 6G Non-Terrestrial Networks · INFOCOM 2026 |
Network management and operations › network robustness
fault tolerance |
0.3 | 1 | 2026 | Autonomous Self-Healing UAV Swarms for Robust 6G Non-Terrestrial Networks · INFOCOM 2026 |
Cellular and mobile networks › 6g
non-terrestrial networks |
0.3 | 1 | 2026 | Autonomous Self-Healing UAV Swarms for Robust 6G Non-Terrestrial Networks · INFOCOM 2026 |
Network management and operations › failure recovery
self-healing networks |
0.3 | 1 | 2026 | Autonomous Self-Healing UAV Swarms for Robust 6G Non-Terrestrial Networks · INFOCOM 2026 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Autonomous Self-Healing UAV Swarms for Robust 6G Non-Terrestrial Networks
Sambrama Hegde, Venkata Srirama Rohit Kantheti, Liang C. Chu, Erik Blasch, Shih-Chun Lin 0002 |
INFOCOM | 3 |
| 2001 | Mitigation of crosstalk on the SDSL upstream transmission with vector equalizationabstractThis paper provides a new approach to mitigate the crosstalk interference in the symmetric digital subscriber line (SDSL) upstream transmission. A vector channel equalizer has been proposed for the SDSL upstream receiver to enhance spectral compatibility for the SDSL services. This approach outperforms a conventional scalar equalizer, which used in the current SDSL systems, is about a 15 dB gain in mean squared error (MSE). It significantly suppresses the crosstalk degradation and ensures the quality of service (QoS) on the SDSL transmission throughput. Moreover, the enhancement of the SDSL receiver can benefit on the extension of the SDSL deployment coverage range and also guarantees its promising data rates on increasing numbers of customer subscribers. Liang C. Chu, Martin A. Brooke |
ICC | 1 |
| 1999 | Relationship between physical and higher layer errors in HFC communication networkabstractWe studied the impact of the channel noise, especially additive white Gaussian noise (AWGN) over the broadband HFC access network. The modulation scheme of this digital communication channel is QPSK. We have derived a network system error model for the HFC communication channel, which yields a relationship between bit error rate and signal to noise ratio (SNR) in a noisy communication channel. We measured in the laboratory packet loss as a function of SNR for this HFC communication network, and derived an empirical relationship between the physical layer bit error rate (BER) and the higher layer packet loss. The results of this study would be beneficial in network management of broadband HFC access network. Liang C. Chu |
ICC | 1 |