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Nicholas Whitcomb

dblp:412/3905 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0000-6328-5304ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author · 1 since 2021Security and privacy · 1Theory of computation · 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
Internet of things and sensor networks · 44% Physical-layer communications · 44% Wireless networking · 13%
Theoretical computer science
1 paper
Information theory · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › digital transmission systems
burst transmission
0.912025
Bursty Versus Continuous Transmission for Wireless Streaming · IEEE Trans. Commun. 2025
Internet of things and sensor networks › wireless sensor network
energy-efficient communication
0.912025
Bursty Versus Continuous Transmission for Wireless Streaming · IEEE Trans. Commun. 2025
Wireless networking › wireless multimedia
wireless streaming
0.312025
Bursty Versus Continuous Transmission for Wireless Streaming · IEEE Trans. Commun. 2025

Methods — techniques the papers use, named apart from their topics

information-theoretic analysis · 1.7
YearPublicationVenuePosition
2025 Bursty Versus Continuous Transmission for Wireless Streaming
abstract
This paper analyzes energy consumption in wireless streaming with delay constraints. One fundamental question is whether the transmitter should transmit a steady stream of bits, continuous transmission, or transmit data in bursts and switch off while not transmitting. In the latter case, a question is also for what fraction of time the transmitter should transmit, the duty cycle. In this paper we use traditional and finite blocklength information theory to see whether bursty transmission would be better than transmitting data continuously. When doing this analysis we consider latency and energy efficiency, two fundamental parameters that characterize communication systems. We take into account realistic models of hardware, including overhead power, power amplifier inefficiency and the receiver noise factor. With these models we find that the energy consumption and latency tradeoff behaves quite differently from the ideal case.
Nicholas Whitcomb, Anders Høst-Madsen, Zixiang Xiong, Jeffrey A. Weldon
IEEE Trans. Commun.1
2020 Latency-Energy Tradeoff with Realistic Hardware Models
Anders Høst-Madsen, Nicholas Whitcomb, Jeffrey A. Weldon, Zixiang Xiong
ISITA2