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Doron Kurtz

dblp:165/0590 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1988
—ORCID · none

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

Computer networks · 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
Wireless networking · 81% Transport protocols and congestion control · 19%

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

TopicWeightPapersLastEvidence papers
Wireless networking
medium access control
0.011988
Multiple access algorithms via group testing for heterogeneous population of users · IEEE Trans. Commun. 1988
Transport protocols and congestion control › congestion feedback
binary feedback
0.011988
Multiple access algorithms via group testing for heterogeneous population of users · IEEE Trans. Commun. 1988
Wireless networking
multiaccess network
0.011988
Multiple access algorithms via group testing for heterogeneous population of users · IEEE Trans. Commun. 1988

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

ordered algorithm · 0.0nested algorithm · 0.0
YearPublicationVenuePosition
1988 Multiple access algorithms via group testing for heterogeneous population of users
abstract
The application of group testing techniques to the design of efficient algorithms for multiaccess systems with a heterogeneous population of users is studied. For a reservation system with binary (something/nothing) feedback, the authors present the procedure used to determine the optimal nested multiaccess algorithms. This procedure is not practical for moderate and large numbers of heterogeneous users because the computations and memory required for their determination are exponential in the number of users. Consequently, the authors introduce the notion of ordered algorithms and present the procedure for determining the optimal ordered algorithm. The computational complexity and memory requirements of this procedure are polynomial in the number of users. To show the effectiveness of ordered algorithms, the performance of optimal ordered algorithms for various orders is studied and compared to the performance of simpler suboptimal ordered algorithms and with optimal nested algorithms. The authors also study the performance of nested multiaccess algorithms (based on group testing procedures) for a direct transmission system with ternary feedback when the population of users is very large, and, for simplicity, a system with two classes of users.>
Doron Kurtz, Moshe Sidi
IEEE Trans. Commun.1