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Peter Berlin

dblp:65/5540 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2009
—ORCID · none

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

Theory of computation · 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.

Theoretical computer science
2 papers
Coding theory · 92% Information theory · 8%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory
channel coding
0.122009
A simple converse of Burnashev's reliability function · IEEE Trans. Inf. Theory 2009
LDPC codes for fading Gaussian broadcast channels · IEEE Trans. Inf. Theory 2005
Coding theory › channel coding
feedback communication
0.112009
A simple converse of Burnashev's reliability function · IEEE Trans. Inf. Theory 2009
Coding theory › channel coding › error exponent
reliability function
0.112009
A simple converse of Burnashev's reliability function · IEEE Trans. Inf. Theory 2009
Coding theory › source coding
variable-length codes
0.112009
A simple converse of Burnashev's reliability function · IEEE Trans. Inf. Theory 2009
Information theory › network information theory
broadcast channel
0.112005
LDPC codes for fading Gaussian broadcast channels · IEEE Trans. Inf. Theory 2005
Coding theory
error-correcting codes
0.112005
LDPC codes for fading Gaussian broadcast channels · IEEE Trans. Inf. Theory 2005
Coding theory › error-correcting codes
LDPC codes
0.112005
LDPC codes for fading Gaussian broadcast channels · IEEE Trans. Inf. Theory 2005
Coding theory › error-correcting codes › code construction
LDPC code design
0.112005
LDPC codes for fading Gaussian broadcast channels · IEEE Trans. Inf. Theory 2005

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

converse proof · 0.1achievability proof · 0.1joint decoding · 0.1extrinsic information transfer analysis · 0.1differential evolution · 0.1
YearPublicationVenuePosition
2009 A simple converse of Burnashev's reliability function
abstract
In a remarkable paper published in 1976, Burnashev determined the reliability function of variable-length block codes over discrete memoryless channels (DMCs) with feedback. Subsequently, an alternativeachievabilityproof was obtained by Yamamoto and Itoh via a particularly simple and instructive scheme. Their idea is to alternate between a communication and a confirmation phase until the receiver detects the codeword used by the sender to acknowledge that the message is correct. We provide aconversethat parallels the Yamamoto-Itoh achievability construction. Besides being simpler than the original, the proposed converse suggests that a communication and a confirmation phase are implicit in any scheme for which the probability of error decreases with the largest possible exponent. The proposed converse also makes it intuitively clear why the terms that appear in Burnashev's exponent are necessary.
Peter Berlin, Baris Nakiboglu, Bixio Rimoldi, Emre Telatar
IEEE Trans. Inf. Theory1
2006 A Simple Derivation of Burnashev's Reliability Function
abstract
Feedback coupled with variable-length codes can substantially increase the reliability of a discrete memoryless channel (DMC). Burnashev, in a remarkable paper published in 1976, derived an asymptotically achievable lower bound to the average blocklength needed for a system that communicates at a specified rate and achieves a given error probability. We offer an alternative proof of the lower bound. Our proof is simpler than the original, and clarifies the roles of the quantites that appear in the bound by relating one to uncertainty reduction and the other to binary hypothesis testing. In addition, our derivation of the lower bound closely parallels a derivation of an upper bound by Yamamoto and Itoh.
Peter Berlin, Bixio Rimoldi, Emre Telatar
ITW1
2005 LDPC codes for fading Gaussian broadcast channels
abstract
In this work, we study coding over a class of two-user broadcast channels (BCs) with additive white Gaussian noise and multiplicative fading known at the receivers only. Joint decoding of low-density parity-check (LDPC) codes is analyzed. The message update rule at the mapping node linking the users' codes is derived and is found to exhibit an interesting soft interference cancellation property. High performance codes are found using the differential evolution optimization technique and extrinsic information transfer analysis adapted to our multiuser setting. The optimized codes have rates very close to the boundary of the achievable region for binary constrained input for both faded and unfaded channels. Simulation results for moderate block lengths show that our codes operate within less than 1 dB of their respective threshold.
Peter Berlin, Daniela Tuninetti
IEEE Trans. Inf. Theory1