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20182024
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cs.IT2024

GRAND Massive Parallel Decoding Framework for Low Latency in Beyond 5G

Danilo Gligoroski, Sahana Sridhar, Katina Kralevska

We propose a massive parallel decoding GRAND framework. The framework introduces two novelties: 1. A likelihood function for -QAM demodulated signals that effectively reduces th…

cs.IT2019

Practical Functional Regenerating Codes for Broadcast Repair of Multiple Nodes

Nitish Mital, Katina Kralevska, Cong Ling +1

A code construction and repair scheme for optimal functional regeneration of multiple node failures is presented, which is based on stitching together short MDS codes on carefully…

cs.IT2018

An Explicit Construction of Systematic MDS Codes with Small Sub-packetization for All-Node Repair

Katina Kralevska, Danilo Gligoroski

An explicit construction of systematic MDS codes, called HashTag+ codes, with arbitrary sub-packetization level for all-node repair is proposed. It is shown that even for small sub…

cs.IT2018

Applied Erasure Coding in Networks and Distributed Storage

Katina Kralevska

The amount of digital data is rapidly growing. There is an increasing use of a wide range of computer systems, from mobile devices to large-scale data centers, and important for re…

cs.IT2018

Network Traffic Driven Storage Repair

Danilo Gligoroski, Katina Kralevska, Rune E. Jensen +1

Recently we constructed an explicit family of locally repairable and locally regenerating codes. Their existence was proven by Kamath et al. but no explicit construction was given.…

cs.IT2018

On the Construction of Quasi-Binary and Quasi-Orthogonal Matrices over Finite Fields

Danilo Gligoroski, Kristian Gjosteen, Katina Kralevska

Orthogonal and quasi-orthogonal matrices have a long history of use in digital image processing, digital and wireless communications, cryptography and many other areas of computer…