activity
20192021
most citedCRC Codes as Error Correction Codes

55 citations · 85 across the 8 of their papers we have counts for

collaborators
Showing cs.ITShow all

13 papers · 1 filter

cs.IT2021

Post-Quantum Security for Ultra-Reliable Low-Latency Heterogeneous Networks

Rafael G. L. D'Oliveira, Alejandro Cohen, John Robinson +2

We consider the problem of post-quantum secure and ultra-reliable communication through a heterogeneous network consisting of multiple connections. Three performance metrics are co…

cs.IT2021★ 55 cited

CRC Codes as Error Correction Codes

Wei An, Muriel Médard, Ken R. Duffy

CRC codes have long since been adopted in a vast range of applications. The established notion that they are suitable primarily for error detection can be set aside through use of…

cs.IT2021

Stream Distributed Coded Computing

Alejandro Cohen, Guillaume Thiran, Homa Esfahanizadeh +1

The emerging large-scale and data-hungry algorithms require the computations to be delegated from a central server to several worker nodes. One major challenge in the distributed c…

cs.IT2020

Robust Improvement of the Age of Information by Adaptive Packet Coding

Maice Costa, Yalin Sagduyu, Tugba Erpek +1

We consider a wireless communication network with an adaptive scheme to select the number of packets to be admitted and encoded for each transmission, and characterize the informat…

cs.IT2020★ 29 cited

Keep the bursts and ditch the interleavers

Wei An, Muriel Médard, Ken R. Duffy

To facilitate applications in IoT, 5G, and beyond, there is an engineering need to enable high-rate, low-latency communications. Errors in physical channels typically arrive in clu…

cs.IT2020

Noise Recycling

Alejandro Cohen, Amit Solomon, Ken R. Duffy +1

We introduce Noise Recycling, a method that enhances decoding performance of channels subject to correlated noise without joint decoding. The method can be used with any combinatio…

cs.IT2020

Function Load Balancing over Networks

Derya Malak, Muriel Médard

Using networks as a means of computing can reduce the communication flow or the total number of bits transmitted over the networks. In this paper, we propose to distribute the comp…

cs.IT2020

A Distributed Computationally Aware Quantizer Design via Hyper Binning

Derya Malak, Muriel Médard

We design a distributed function-aware quantization scheme for distributed functional compression. We consider correlated sources and and a destination that seeks a…

cs.IT2020

Noise Recycling

Alejandro Cohen, Amit Solomon, Ken R. Duffy +1

We introduce Noise Recycling, a method that substantially enhances decoding performance of orthogonal channels subject to correlated noise without the need for joint encoding or de…

cs.IT2020

Spatial Concentration of Caching in Wireless Heterogeneous Networks

Derya Malak, Muriel Médard, Jeffrey G. Andrews

We propose a decentralized caching policy for wireless heterogeneous networks that makes content placement decisions based on pairwise interactions between cache nodes. We call our…

cs.IT2020

Capacities and Optimal Input Distributions for Particle-Intensity Channels

Nariman Farsad, Will Chuang, Andrea Goldsmith +6

This work introduces the particle-intensity channel (PIC) as a model for molecular communication systems and characterizes the capacity limits as well as properties of the optimal…

cs.IT2020

Soft Maximum Likelihood Decoding using GRAND

Amit Solomon, Ken R. Duffy, Muriel Médard

Maximum Likelihood (ML) decoding of forward error correction codes is known to be optimally accurate, but is not used in practice as it proves too challenging to efficiently implem…

cs.IT2019

Adaptive Causal Network Coding with Feedback for Multipath Multi-hop Communications

Alejandro Cohen, Guillaume Thiran, Vered Bar Bracha +1

We propose a novel multipath multi-hop adaptive and causal random linear network coding (AC-RLNC) algorithm with forward error correction. This algorithm generalizes our joint opti…