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Capacity Achieving Codes for an Erasure Queue-Channel

Authors :
Mandalapu, Jaswanthi
Jagannathan, Krishna
Chatterjee, Avhishek
Thangaraj, Andrew
Publication Year :
2023

Abstract

We consider a queue-channel model that captures the waiting time-dependent degradation of information bits as they wait to be transmitted. Such a scenario arises naturally in quantum communications, where quantum bits tend to decohere rapidly. Trailing the capacity results obtained recently for certain queue-channels, this paper aims to construct practical channel codes for the erasure queue-channel (EQC) -- a channel characterized by highly correlated erasures, governed by the underlying queuing dynamics. Our main contributions in this paper are twofold: (i) We propose a generic `wrapper' based on interleaving across renewal blocks of the queue to convert any capacity-achieving block code for a memoryless erasure channel to a capacity-achieving code for the EQC. Next, due to the complexity involved in implementing interleaved systems, (ii) we study the performance of LDPC and Polar codes without any interleaving. We show that standard Ar{\i}kan's Polar transform polarizes the EQC for certain restricted class of erasure probability functions. We also highlight some possible approaches and the corresponding challenges involved in proving polarization of a general EQC.<br />Comment: 10 pages, 5 figures, accepted to IEEE ISIT 2023

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2305.04155
Document Type :
Working Paper