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Yariv Hayoun

dblp:140/7080 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—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 · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
channel coding
0.212013
Iterative Decoding of Coded THP with Quantized Output · IEEE Trans. Commun. 2013
Physical-layer communications › channel coding › decoding algorithms
iterative decoding
0.212013
Iterative Decoding of Coded THP with Quantized Output · IEEE Trans. Commun. 2013
Physical-layer communications › channel coding › error control coding › block codes
LDPC codes
0.212013
Iterative Decoding of Coded THP with Quantized Output · IEEE Trans. Commun. 2013
Physical-layer communications › MIMO
precoding
0.212013
Iterative Decoding of Coded THP with Quantized Output · IEEE Trans. Commun. 2013
Physical-layer communications › MIMO › precoding
tomlinson-harashima precoding
0.212013
Iterative Decoding of Coded THP with Quantized Output · IEEE Trans. Commun. 2013

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

turbo equalization · 0.2MAP estimation · 0.2
YearPublicationVenuePosition
2013 Iterative Decoding of Coded THP with Quantized Output
abstract
This paper proposes an improved receiver for the Tomlinson-Harashima precoder (THP). In this paper we demonstrate that most of the capacity loss associated with conventional THP is due to the suboptimal receiver, which is a simple modulo operation. We then demonstrate how this loss can can be avoided with the optimization of the receiver. In the suboptimal receiver the modulo operation ignores the dependency between the implicitly added sequence of symbols removed by it. We then implement a THP with quantized outputs. The quantized outputs enable to implement a Maximum A-Posteriori Probability (MAP) receiver that exploits the dependency between the received symbols. The MAP receiver is named Enhanced MODulo operation (EMOD), and operates as an inner decoder within an iterative scheme, either with outer Low Density Parity Check (LDPC) code or outer Turbo Code. Simulation results show considerable gains relative to coded conventional THP, and also relative to the Turbo-Equalizer (TE) (which does not use a precoder in the transmitter).
Elad Kaminer, Dan Raphaeli, Yariv Hayoun
IEEE Trans. Commun.3