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Jason D. Ellis

dblp:62/11437 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2017
—ORCID · unresolved

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

Computer networks · 3 · 3 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
2 papers
Physical-layer communications · 62% Transport protocols and congestion control · 25% Internet architecture and protocols · 7%
Theoretical computer science
2 papers
Coding theory · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › modulation
adaptive modulation and coding
0.522017
Adaptive Transmission Protocols for Fountain-Coded Multicast in Packet Radio Networks · IEEE Trans. Commun. 2017
Integration of Adaptive Modulation and Channel Coding With Fountain Coding for Packet Radio Systems · IEEE Trans. Commun. 2015
Coding theory
channel coding
0.522017
Adaptive Transmission Protocols for Fountain-Coded Multicast in Packet Radio Networks · IEEE Trans. Commun. 2017
Integration of Adaptive Modulation and Channel Coding With Fountain Coding for Packet Radio Systems · IEEE Trans. Commun. 2015
Coding theory › error-correcting codes › rateless codes
fountain codes
0.522017
Adaptive Transmission Protocols for Fountain-Coded Multicast in Packet Radio Networks · IEEE Trans. Commun. 2017
Integration of Adaptive Modulation and Channel Coding With Fountain Coding for Packet Radio Systems · IEEE Trans. Commun. 2015
Transport protocols and congestion control › transport protocol design
adaptive transport protocols
0.312017
Adaptive Transmission Protocols for Fountain-Coded Multicast in Packet Radio Networks · IEEE Trans. Commun. 2017
Physical-layer communications › channel coding › adaptive coding
adaptive channel coding
0.212015
Integration of Adaptive Modulation and Channel Coding With Fountain Coding for Packet Radio Systems · IEEE Trans. Commun. 2015
Internet architecture and protocols
multicast
0.112017
Adaptive Transmission Protocols for Fountain-Coded Multicast in Packet Radio Networks · IEEE Trans. Commun. 2017
Wireless networking
packet radio network
0.112015
Integration of Adaptive Modulation and Channel Coding With Fountain Coding for Packet Radio Systems · IEEE Trans. Commun. 2015

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

channel coding · 1.0adaptive modulation · 1.0receiver statistics feedback · 0.6
YearPublicationVenuePosition
2017 Adaptive Transmission Protocols for Fountain-Coded Multicast in Packet Radio Networks
abstract
Fountain coding is a valuable tool for multicast transmissions in half-duplex packet radio networks if it is supported by an adaptive transmission protocol that compensates for fluctuations in the propagation losses on the radio links. Our goal is to devise low-complexity packet-by-packet adaptive modulation and channel coding protocols that provide high throughput for a broad range of multicast channels and operate with limited feedback and no knowledge of the fade levels or even the probability distribution for the fading on the radio links. The only control information for the protocols is derived from simple receiver statistics that are obtained by the demodulators and channel decoders in the receiving radios. Performance results are presented for practical fountain coding with low-complexity adaptive modulation and channel coding. Results on ideal fountain coding with adaptive transmission based on hypothetical perfect channel-state information are employed as performance benchmarks.
Jason D. Ellis, Michael B. Pursley
IEEE Trans. Commun.1
2015 Integration of Adaptive Modulation and Channel Coding With Fountain Coding for Packet Radio Systems
abstract
We examine the integration of adaptive modulation and channel coding protocols with fountain coding in a packet radio system. We present three modes of operation for the adaptive transmission system, each of which adapts the channel code in a way that accommodates the fixed-length packets produced by the fountain encoder. Each mode works with the fountain coding system to mitigate the effects of time-varying fading on the radio links and provide high throughput.
Jason D. Ellis, Michael B. Pursley
IEEE Trans. Commun.1
2013 Adaptive Capacity-Achieving Channel Coding for Fountain-Coded Multicast Transmission in Packet Radio Systems
abstract
For time-varying fading, adaptation of the physical-layer channel code greatly enhances the throughput of a multicast transmission system, even if the system employs an application-layer fountain code for packet erasure correction. Performance evaluations for adaptive channel-coding protocols typically require extensive simulations of the fading channel, the iterative decoding process, and the generation of the control information that is used for the adaptation of the channel code. We present a method for the evaluation of such protocols that avoids a substantial amount of the computation required by traditional simulations, and we demonstrate that some important performance measures can be evaluated entirely by analysis. By the use of capacity-achieving channel codes in our investigation, we also decouple the performance of the adaptive coding protocol from the performance of a particular type of channel code and decoding method, which facilitates comparisons among different protocols. The application of our methods is demonstrated for two adaptive channel-coding protocols that are candidates for fountain-coded multicast transmission in packet radio systems.
Jason D. Ellis, Michael B. Pursley
IEEE Trans. Wirel. Commun.1