Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Jackie Xu

dblp:213/7596 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Wireless networking
multi-channel communication
0.312018
High Throughput Low Delay Wireless Multicast via Multi-Channel Moving Window Codes · INFOCOM 2018
Wireless networking › wireless group communication
wireless multicast
0.312018
High Throughput Low Delay Wireless Multicast via Multi-Channel Moving Window Codes · INFOCOM 2018
Coding theory
network coding
0.312018
High Throughput Low Delay Wireless Multicast via Multi-Channel Moving Window Codes · INFOCOM 2018
Coding theory › constrained coding
sliding window codes
0.312018
High Throughput Low Delay Wireless Multicast via Multi-Channel Moving Window Codes · INFOCOM 2018
Network performance modeling
delay analysis
0.112018
High Throughput Low Delay Wireless Multicast via Multi-Channel Moving Window Codes · INFOCOM 2018
Network performance modeling
large deviations
0.112018
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
YearPublicationVenuePosition
2018 High Throughput Low Delay Wireless Multicast via Multi-Channel Moving Window Codes
abstract
A 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
INFOCOM4