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20052023
most citedMinimum-Cost Multicast over Coded Packet Networks

409 citations · 2.3k across the 154 of their papers we have counts for

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Showing 2011 · cs.ITShow all

9 papers · 2 filters

cs.IT2011★ 12 cited

Time-Stampless Adaptive Nonuniform Sampling for Stochastic Signals

Soheil Feizi, Vivek K Goyal, Muriel Medard

In this paper, we introduce a time-stampless adaptive nonuniform sampling (TANS) framework, in which time increments between samples are determined by a function of the most re…

cs.IT2011★ 3 cited

A Power Efficient Sensing/Communication Scheme: Joint Source-Channel-Network Coding by Using Compressive Sensing

Soheil Feizi, Muriel Medard

We propose a joint source-channel-network coding scheme, based on compressive sensing principles, for wireless networks with AWGN channels (that may include multiple access and bro…

cs.IT2011★ 1 cited

On the geometry of wireless network multicast in 2-D

Mohit Thakur, Nadia Fawaz, Muriel Médard

We provide a geometric solution to the problem of optimal relay positioning to maximize the multicast rate for low-SNR networks. The networks we consider, consist of a single sourc…

cs.IT2011★ 9 cited

Localized Dimension Growth in Random Network Coding: A Convolutional Approach

Wangmei Guo, Ning Cai, Xiaomeng Shi +1

We propose an efficient Adaptive Random Convolutional Network Coding (ARCNC) algorithm to address the issue of field size in random network coding. ARCNC operates as a convolutiona…

cs.IT2011

On the Order Optimality of Large-scale Underwater Networks

Won-Yong Shin, Daniel E. Lucani, Muriel Medard +2

Capacity scaling laws are analyzed in an underwater acoustic network with regularly located nodes on a square, in which both bandwidth and received signal power can be limited…

cs.IT2011★ 6 cited

Deterministic Network Model Revisited: An Algebraic Network Coding Approach

MinJi Kim, Elona Erez, Edmund M. Yeh +1

The capacity of multiuser networks has been a long-standing problem in information theory. Recently, Avestimehr et al. have proposed a deterministic network model to approximate mu…