Demo Data from EDBT 2026 / reviewers in the wild / expert
Sakshi Kapoor
dblp:176/5242
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 first-author
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 |
Physical-layer communications · 50% Wireless networking · 50% | |
| Theoretical computer science
1 paper |
Information theory · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless networking › scheduling
distributed scheduling |
0.3 | 1 | 2018 | Distributed Scheduling in Multiple Access With Bursty Arrivals Under a Maximum Delay Constraint · IEEE Trans. Inf. Theory 2018 |
Physical-layer communications
multiple access |
0.3 | 1 | 2018 | Distributed Scheduling in Multiple Access With Bursty Arrivals Under a Maximum Delay Constraint · IEEE Trans. Inf. Theory 2018 |
Information theory › network information theory
multiple-access channel |
0.3 | 1 | 2018 | Distributed Scheduling in Multiple Access With Bursty Arrivals Under a Maximum Delay Constraint · IEEE Trans. Inf. Theory 2018 |
Information theory › interference management
power control |
0.3 | 1 | 2018 | Distributed Scheduling in Multiple Access With Bursty Arrivals Under a Maximum Delay Constraint · IEEE Trans. Inf. Theory 2018 |
Methods — techniques the papers use, named apart from their topics
online communication schemes · 0.7distributed power allocation · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Distributed Scheduling in Multiple Access With Bursty Arrivals Under a Maximum Delay ConstraintabstractA time-slotted multiple access system with bursty data arrivals to the terminals is considered, where variable sized packets independently arrive in each slot at every transmitter. Each packet is required to be delivered to a common receiver within a certain number of slots specified by a maximum delay constraint. The terminals know only their own packet arrival process, i.e., the arrivals at the rest of the terminals are unknown to each transmitter, except for their probability distributions. For this interesting distributed multiple access model, we design novel online communication schemes which transport the arriving data without any outage, while respecting the delay constraint. In particular, the users choose their respective transmit powers in a distributed manner, ensuring at the same time that the joint power vector is sufficient to support the distributed choice of data rates employed in that slot. The proposed schemes are not only optimal in minimizing the average transmit sum power, but they also considerably outperform conventional orthogonal multiple access techniques like time-division multiple access. An optimal scheme for a multiple access channel with arrivals and time-varying fading is also presented, under a unit slot delay constraint. Sakshi Kapoor, Sreejith Sreekumar, Sibi Raj B. Pillai |
IEEE Trans. Inf. Theory | 1 |