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Jaswanthi Mandalapu

dblp:305/3938 · DBLP profile ↗
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3ranked-venue papers
3as first author
3since 2021 · last 2024
0009-0004-0964-5080ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author · 1 since 2021Theory of computation · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Coding theory · 70% Information theory · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory
channel capacity
0.812024
Capacity Achieving Channel Codes for an Erasure Queue-Channel · IEEE Trans. Commun. 2024
Coding theory
channel coding
0.812024
Capacity Achieving Channel Codes for an Erasure Queue-Channel · IEEE Trans. Commun. 2024
Coding theory › error-correcting codes › erasure coding
erasure channel coding
0.812024
Capacity Achieving Channel Codes for an Erasure Queue-Channel · IEEE Trans. Commun. 2024
Coding theory › error-correcting codes
LDPC codes
0.212024
Capacity Achieving Channel Codes for an Erasure Queue-Channel · IEEE Trans. Commun. 2024

Methods — techniques the papers use, named apart from their topics

polar transform · 0.8interleaving · 0.8
YearPublicationVenuePosition
2024 Capacity Achieving Channel Codes for an Erasure Queue-Channel
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 information bits become useless after a certain time. 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 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. Motivated by the empirical performance, we show that standard Arıkan’s Polar transform polarizes the M/M/1 EQC.
Jaswanthi Mandalapu, Krishna P. Jagannathan, Andrew Thangaraj
IEEE Trans. Commun.1
2023 Capacity Achieving Codes for an Erasure Queue-channel
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 Arıkan’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 the polarization of a general EQC.
Jaswanthi Mandalapu, Avhishek Chatterjee, Krishna P. Jagannathan, Andrew Thangaraj
ISIT1
2022 The Classical Capacity of Quantum Jackson Networks with Waiting Time-Dependent Erasures
abstract
We study the fundamental limits of classical communication using quantum states that decohere as they traverse through a network of queues. We consider a network of Markovian queues, known as a Jackson network, with a single source or multiple sources and a single destination. Qubits are communicated through this network with inevitable buffering at intermediate nodes. We model each node as a ‘queue-channel,’ wherein as the qubits wait in buffer, they continue to interact with the environment and suffer a waiting time-dependent noise. Focusing on erasures, we first obtain explicit classical capacity expressions for simple topologies such as tandem queue-channel and parallel queue-channel. Using these as building blocks, we characterize the classical capacity of a general quantum Jackson network with waiting time-dependent erasures. Throughout, we study two types of quantum networks, namely, (i) Repeater-assisted and (ii) Repeater-less. We also obtain optimal pumping rates and routing probabilities to maximize capacity in simple topologies. More broadly, our work quantifies the impact of delay-induced decoherence on the fundamental limits of classical communication over quantum networks.
Jaswanthi Mandalapu, Krishna P. Jagannathan
ITW1