activity
20212026
collaborators

6 papers

cs.IT2026

Fundamental Limits of Sequence Reconstruction Problems in Immunogenomics

Jaswanthi Mandalapu, Deepak Charan, V. Arvind Rameshwar +1

The goal of personalized immunogenomics is to recover an individual's germline immunoglobulin gene segments from 'repertoire sequences' altered by trimming, extension, and mutation…

cs.IT2026

Finite-Length Empirical Comparison of Polar, PAC, and Invertible-Extractor Secrecy Codes over the Wiretap BSC

Jaswanthi Mandalapu, Andrew Thangaraj

We compare three secrecy-coding schemes for the degraded wiretap binary symmetric channel (BSC) in the finite-blocklength regime: (i) polar wiretap coset codes, (ii) PAC codes used…

quant-ph2025

Polar Codes for Erasure and Unital Classical-Quantum Markovian Channels

Jaswanthi Mandalapu, Vikesh Siddhu, Krishna Jagannathan

We consider classical-quantum (cq-)channels with memory, and establish that Arıkan-constructed polar codes achieve the classical capacity for two key noise models, namely for (i) q…

cs.IT2023

Capacity Achieving Codes for an Erasure Queue-Channel

Jaswanthi Mandalapu, Krishna Jagannathan, Avhishek Chatterjee +1

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 quant…

quant-ph2022

The Classical Capacity of Quantum Jackson Networks with Waiting Time-Dependent Erasures

Jaswanthi Mandalapu, Krishna Jagannathan

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 queue…

eess.SY2021

Graph Neural Network based scheduling : Improved throughput under a generalized interference model

S. Ramakrishnan, Jaswanthi Mandalapu, Subrahmanya Swamy Peruru +2

In this work, we propose a Graph Convolutional Neural Networks (GCN) based scheduling algorithm for adhoc networks. In particular, we consider a generalized interference model call…