Search Results - "Narayanan, Krishna R."

Polar Coding and Random Spreading for Unsourced Multiple Access by Pradhan, Asit Kumar, Amalladinne, Vamsi K., Narayanan, Krishna R., Chamberland, Jean-Francois

“…This article presents a novel transmission scheme for the unsourced, uncoordinated Gaussian multiple access problem. The proposed scheme leverages notions from…”
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An Enhanced Decoding Algorithm for Coded Compressed Sensing with Applications to Unsourced Random Access by Amalladinne, Vamsi K, Ebert, Jamison R, Chamberland, Jean-Francois, Narayanan, Krishna R

“…Unsourced random access (URA) has emerged as a pragmatic framework for next-generation distributed sensor networks. Within URA, concatenated coding structures…”
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A Coded Compressed Sensing Scheme for Unsourced Multiple Access by Amalladinne, Vamsi K., Chamberland, Jean-Francois, Narayanan, Krishna R.

“…This article introduces a novel scheme, termed coded compressed sensing, for unsourced multiple-access communication. The proposed divide-and-conquer approach…”
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A User-Independent Successive Interference Cancellation Based Coding Scheme for the Unsourced Random Access Gaussian Channel by Vem, Avinash, Narayanan, Krishna R., Chamberland, Jean-Francois, Cheng, Jun

“…This work introduces a novel coding paradigm for the unsourced multiple access channel model. The envisioned framework builds on a select few key components…”
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Random Forests Are Able to Identify Differences in Clotting Dynamics from Kinetic Models of Thrombin Generation by Arumugam, Jayavel, Bukkapatnam, Satish T S, Narayanan, Krishna R, Srinivasa, Arun R

“…Current methods for distinguishing acute coronary syndromes such as heart attack from stable coronary artery disease, based on the kinetics of thrombin…”
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Unsourced Random Access With Coded Compressed Sensing: Integrating AMP and Belief Propagation by Amalladinne, Vamsi K., Pradhan, Asit Kumar, Rush, Cynthia, Chamberland, Jean-Francois, Narayanan, Krishna R.

“…Sparse regression codes with approximate message passing (AMP) decoding have gained much attention in recent times. The concepts underlying this coding scheme…”
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An MSE-Based Transfer Chart for Analyzing Iterative Decoding Schemes Using a Gaussian Approximation by Bhattad, K., Narayanan, K.R.

“…An alternative to extrinsic information transfer (EXIT) charts called mean-square error (MSE) charts that use a measure related to the MSE instead of mutual…”
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FASURA: A Scheme for Quasi-Static Fading Unsourced Random Access Channels by Gkagkos, Michail, Narayanan, Krishna R., Chamberland, Jean-Francois, Georghiades, Costas N.

“…Unsourced random access emerged as a novel wireless paradigm enabling massive device connectivity on the uplink. We consider quasi-static Rayleigh fading…”
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Sparse IDMA: A Joint Graph-Based Coding Scheme for Unsourced Random Access by Pradhan, Asit Kumar, Amalladinne, Vamsi K., Vem, Avinash, Narayanan, Krishna R., Chamberland, Jean-Francois

“…This article introduces a novel communication paradigm for the unsourced, uncoordinated Gaussian multiple access problem. The major components of the…”
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Approaching Capacity at High Rates With Iterative Hard-Decision Decoding by Yung-Yih Jian, Pfister, Henry D., Narayanan, Krishna R.

“…A variety of low-density parity-check (LDPC) ensembles have now been observed to approach capacity with message-passing decoding. However, all of them use soft…”
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Interleaved Concatenations of Polar Codes With BCH and Convolutional Codes by Ying Wang, Narayanan, Krishna R., Yu-Chih Huang

“…We analyze interleaved concatenation schemes of polar codes with outer binary BCH codes and convolutional codes. We show that both BCH-polar and Conv-polar…”
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Coded Demixing for Unsourced Random Access by Ebert, Jamison R., Amalladinne, Vamsi K., Rini, Stefano, Chamberland, Jean-Francois, Narayanan, Krishna R.

“…Unsourced random access (URA) is a recently proposed multiple access paradigm tailored to the uplink channel of machine-type communication networks. By…”
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Symmetric Block-Wise Concatenated BCH Codes for NAND Flash Memories by Kim, Daesung, Narayanan, Krishna R., Ha, Jeongseok

“…This paper introduces a high rate error-correcting coding scheme called symmetric block-wise concatenated Bose-Chaudhuri-Hocquenghem (symmetric BC-BCH) codes…”
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Factored LT and Factored Raptor Codes for Large-Scale Distributed Matrix Multiplication by Pradhan, Asit Kumar, Heidarzadeh, Anoosheh, Narayanan, Krishna R.

“…We propose two coding schemes for distributed matrix multiplication in the presence of stragglers. These coding schemes are adaptations of Luby Transform (LT)…”
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Lattices Over Algebraic Integers With an Application to Compute-and-Forward by Huang, Yu-Chih, Narayanan, Krishna R., Wang, Ping-Chung

“…In this paper, we extend Construction A of lattices to the ring of algebraic integers of a general imaginary quadratic field that may not form a principal…”
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Construction \pi and \pi Lattices: Construction, Goodness, and Decoding Algorithms by Yu-Chih Huang, Narayanan, Krishna R.

“…A novel construction of lattices is proposed. This construction can be thought of as a special class of Construction A from codes over finite rings that can be…”
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Multilevel Coding Schemes for Compute-and-Forward With Flexible Decoding by Hern, Brett, Narayanan, Krishna R.

“…We consider the design of coding schemes for the wireless two-way relaying channel when there is no channel state information at the transmitter. In the spirit…”
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Noisy Group Testing with Side Information by Karimi, Esmaeil, Heidarzadeh, Anoosheh, Narayanan, Krishna R., Sprintson, Alex

“…Group testing (GT) has recently received significant attention due to its broad range of applications. Motivated by practical scenarios, such as testing for…”
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Iterative Soft-Input Soft-Output Decoding of Reed-Solomon Codes by Adapting the Parity-Check Matrix by Jing Jiang, Narayanan, K.R.

“…An iterative algorithm is presented for soft-input soft-output (SISO) decoding of Reed-Solomon (RS) codes. The proposed iterative algorithm uses the…”
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Asynchronous Neighbor Discovery Using Coupled Compressive Sensing by Amalladinne, Vamsi K., Narayanan, Krishna R., Chamberland, Jean-Francois, Guo, Dongning

“…The neighbor discovery paradigm finds wide application in Internet of Things networks, where the number of active devices is orders of magnitude smaller than…”
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