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20092023
most citedOn the Dispersions of Three Network Information Theory Problems

138 citations · 1.5k across the 136 of their papers we have counts for

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Showing 2014 · cs.ITShow all

9 papers · 2 filters

cs.IT2014★ 3 cited

Asymptotic Expansions for Gaussian Channels with Feedback under a Peak Power Constraint

Silas L. Fong, Vincent Y. F. Tan

This paper investigates the asymptotic expansion for the size of block codes defined for the additive white Gaussian noise (AWGN) channel with feedback under the following setting:…

cs.IT2014★ 4 cited

Second-Order Coding Rates for Conditional Rate-Distortion

Sy-Quoc Le, Vincent Y. F. Tan, Mehul Motani

This paper characterizes the second-order coding rates for lossy source coding with side information available at both the encoder and the decoder. We first provide non-asymptotic…

cs.IT2014

Second-Order Asymptotics for the Discrete Memoryless MAC with Degraded Message Sets

Jonathan Scarlett, Vincent Y. F. Tan

This paper studies the second-order asymptotics of the discrete memoryless multiple-access channel with degraded message sets. For a fixed average error probability and…

cs.IT2014★ 9 cited

Strong Converse Theorems for Classes of Multimessage Multicast Networks: A Rényi Divergence Approach

Silas L. Fong, Vincent Y. F. Tan

This paper establishes that the strong converse holds for some classes of discrete memoryless multimessage multicast networks (DM-MMNs) whose corresponding cut-set bounds are tight…

cs.IT2014

Asymmetric Evaluations of Erasure and Undetected Error Probabilities

Masahito Hayashi, Vincent Y. F. Tan

The problem of channel coding with the erasure option is revisited for discrete memoryless channels. The interplay between the code rate, the undetected and total error probabiliti…

cs.IT2014

Information Spectrum Approach to Strong Converse Theorems for Degraded Wiretap Channels

Vincent Y. F. Tan, Matthieu R. Bloch

We consider block codes for degraded wiretap channels in which the legitimate receiver decodes the message with an asymptotic error probability no larger than but the…