EDBT 2026 Demo / reviewers in the wild / expert
Jackie Xu
dblp:213/7596
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
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 |
Wireless networking · 77% Network performance modeling · 23% | |
| Theoretical computer science
1 paper |
Coding theory · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless networking
multi-channel communication |
0.3 | 1 | 2018 | High Throughput Low Delay Wireless Multicast via Multi-Channel Moving Window Codes · INFOCOM 2018 |
Wireless networking › wireless group communication
wireless multicast |
0.3 | 1 | 2018 | High Throughput Low Delay Wireless Multicast via Multi-Channel Moving Window Codes · INFOCOM 2018 |
Coding theory
network coding |
0.3 | 1 | 2018 | High Throughput Low Delay Wireless Multicast via Multi-Channel Moving Window Codes · INFOCOM 2018 |
Coding theory › constrained coding
sliding window codes |
0.3 | 1 | 2018 | High Throughput Low Delay Wireless Multicast via Multi-Channel Moving Window Codes · INFOCOM 2018 |
Network performance modeling
delay analysis |
0.1 | 1 | 2018 | High Throughput Low Delay Wireless Multicast via Multi-Channel Moving Window Codes · INFOCOM 2018 |
Network performance modeling
large deviations |
0.1 | 1 | 2018 | High Throughput Low Delay Wireless Multicast via Multi-Channel Moving Window Codes · INFOCOM 2018 |
Methods — techniques the papers use, named apart from their topics
trace-driven simulation · 0.7large deviations theory · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | High Throughput Low Delay Wireless Multicast via Multi-Channel Moving Window CodesabstractA fundamental challenge in wireless multicast has been how to simultaneously achieve high-throughput and low-delay for reliably serving a large number of users. In this paper, we show how to harness substantial throughput and delay gains by exploiting multi-channel resources. We develop a new scheme called Multi-Channel Moving Window Codes (MC-MWC) for multi-channel multi-session wireless multicast. The salient features of MC-MWC are three-fold. (i) High throughput: we show that MC-MWC achieves order-optimal throughput in the many-user many-channel asymptotic regime. Moreover, the number of channels required by a conventional channel-allocation based scheme is shown to be doubly-exponentially larger than that required by MC-MWC. (ii) Low delay: using large deviations theory, we show that the delay of MC-MWC decreases linearly with the number of channels, while the delay reduction of conventional schemes is no more than a finite constant. (iii) Low feedback overhead: the feedback overhead of MC-MWC is a constant that is independent of both the number of receivers in each session and the number of sessions in the network. Finally, our trace-driven simulation and numerical results validate the analytical results and show that the implementation complexity of MC-MWC is low. Fei Wu 0008, Yin Sun 0001, Lu Chen 0010, Jackie Xu, Kannan Srinivasan 0001, Ness Shroff |
INFOCOM | 4 |