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Harel Kodesh

dblp:41/11366 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1988
—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
Physical-layer communications · 44% Wireless networking · 44% Network performance modeling · 13%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › medium access control › concurrent transmission
capture effect		 0.011988
Erasure, capture, and random power level selection in multiple-access systems · IEEE Trans. Commun. 1988
Physical-layer communications › channel modeling › information-theoretic channel modeling
erasure channel		 0.011988
Erasure, capture, and random power level selection in multiple-access systems · IEEE Trans. Commun. 1988
Physical-layer communications
multiple access		 0.011988
Erasure, capture, and random power level selection in multiple-access systems · IEEE Trans. Commun. 1988
Wireless networking
random access		 0.011988
Erasure, capture, and random power level selection in multiple-access systems · IEEE Trans. Commun. 1988
Network performance modeling › point process
poisson arrival		 0.011988
Erasure, capture, and random power level selection in multiple-access systems · IEEE Trans. Commun. 1988
Network performance modeling
throughput analysis		 0.011988
Erasure, capture, and random power level selection in multiple-access systems · IEEE Trans. Commun. 1988

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

throughput analysis · 0.0random power level selection · 0.0
YearPublicationVenuePosition
1988 Erasure, capture, and random power level selection in multiple-access systems
abstract
Multiple-access algorithms that handle erasures as well as captures are introduced. The algorithms are evaluated according to the maximal throughput that they can support for a Poisson arrival process. An example is given which shows that, in practice, the positive effect of captures compensates the negative effect of erasures. An approach that effectively utilizes the capture phenomena is introduced. This approach incorporates a random power-level-selection scheme that allows each node to choose randomly to transmit in one of several allowable levels of power. Design issues such as number of levels, selection schemes, etc. are discussed.>
Israel Cidon, Harel Kodesh, Moshe Sidi
 IEEE Trans. Commun.2