collaborators

9 papers

cs.IT2026

The Benefit of Decoder-Provided Pilots in Highly Dynamic Channels

Duschia Bodet, Muriel Médard, Muralidhar Rangaswamy +1

Communications in highly dynamic channels relying on training-based channel estimation experience a trade-off between increasing channel measurement accuracy by sending more freque…

cs.IT2026

Pricing Innovation Under Latency Constraints: A Mean-Field Analysis of Coded Payload Delivery

Muriel Médard, Tarun Chitra, Moritz Grundei +1

We study pricing mechanisms for low-latency payload delivery in settings where participant rewards depend on the time required to reconstruct a payload. In such environments, the d…

quant-ph2026

Efficient Soft-Output Guessing for Enhanced Quantum Tanner Code Decoding

Lukas Rapp, Muriel Médard, Eugene Tang +1

We introduce a generalized low-density parity-check decoding framework for quantum Tanner codes utilizing soft-output guessing random additive noise decoding (SOGRAND). By soft-out…

cs.DC2026

OPTIMUM-DERAM: Highly Consistent, Scalable, and Secure Multi-Object Memory using RLNC

Nicolas Nicolaou, Kishori M. Konwar, Moritz Grundei +3

This paper introduces OPTIMUM-DERAM, a highly consistent, scalable, secure, and decentralized shared memory solution. Traditional distributed shared memory implementations offer mu…

cs.IT2025

Improving the decoding performance of CA-polar codes

Jiewei Feng, Peihong Yuan, Ken R. Duffy +1

We investigate the use of modern code-agnostic decoders to convert CA-SCL from an incomplete decoder to a complete one. When CA-SCL fails to identify a codeword that passes the CRC…

cs.IT2025

Guessing Decoding of Short Blocklength Codes

Qianfan Wang, Jifan Liang, Peihong Yuan +3

Future beyond-5G and 6G systems demand ultra-reliable, low-latency communication with short blocklengths, motivating the development of universal decoding algorithms. Guessing deco…