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20092026
most citedInner and Outer Bounds for the Gaussian Cognitive Interference Channel and New Capacity Results

64 citations · 466 across the 78 of their papers we have counts for

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Showing 2018 · cs.ITShow all

10 papers · 2 filters

cs.IT2018★ 3 cited

On the Fundamental Limits of Fog-RAN Cache-aided Networks with Downlink and Sidelink Communications

Kai Wan, Daniela Tuninetti, Mingyue Ji +1

Maddah-Ali and Niesen (MAN) in 2014 showed that coded caching in single bottleneck-link broadcast networks allows serving an arbitrarily large number of cache-equipped users with a…

cs.IT2018

Tight Information Theoretic Converse Results for some Pliable Index Coding Problems

Tang Liu, Daniela Tuninetti

This paper studies the Pliable Index CODing problem (PICOD), which models content-type distribution networks. In the PICOD problem there are messages, users and each u…

cs.IT2018★ 6 cited

The Strongly Asynchronous Massive Access Channel

Sara Shahi, Daniela Tuninetti, Natasha Devroye

This paper considers a Strongly Asynchronous and Slotted Massive Access Channel (SAS-MAC) where different users transmit a randomly selected message among $M_n:=e^{nR…

cs.IT2018

Fundamental Limits of Decentralized Data Shuffling

Kai Wan, Daniela Tuninetti, Mingyue Ji +2

Data shuffling of training data among different computing nodes (workers) has been identified as a core element to improve the statistical performance of modern large-scale machine…

cs.IT2018

An Information Theoretic Converse for the "Consecutive Complete--" PICOD Problem

Tang Liu, Daniela Tuninetti

Pliable Index CODing (PICOD) is a variant of the Index Coding (IC) problem in which a user is satisfied whenever it can successfully decode any one message that is not in its side…

cs.IT2018★ 6 cited

On Combination Networks with Cache-aided Relays and Users

Kai Wan, Daniela Tuninetti, Pablo Piantanida +1

Caching is an efficient way to reduce peak hour network traffic congestion by storing some contents at the user's cache without knowledge of later demands. Coded caching strategy w…