3 citations · 5 across the 7 of their papers we have counts for
10 papers
Conditional Correctness in List Decoding: How a Late Second Codeword Can Rescue Confidence in the First
Conrad Struss, Muriel Medard, Ken R. Duffy
In error correction, the difference between a codeword and a received word, a candidate noise sequence, carries information on the confidence of the codeword as a proposed decoding…
Soft-Output GRAND-Aided Macrosymbol
Sarah Khalifeh, Alexander Mariona, Ken R. Duffy +1
Guessing Random Additive Noise Decoding-Aided Macrosymbol (GRAND-AM) provides a coding-based solution for non-orthogonal multiple access (NOMA) systems, enabling joint multiuser de…
Sensing-Aided Ordered Reliability Bits Guessing Random Additive Noise Decoding
Yu Ge, Lukas Rapp, Ken R. Duffy +1
Integrated sensing and communication (ISAC) is a key enabler for future wireless systems, providing environmental information that can support tasks beyond conventional data transm…
Generalized Segmented GRAND for Guesswork Reduction in Turbo Product Decoding
Lukas Rapp, Jiewei Feng, Muriel Médard +1
Guessing random additive noise decoding (GRAND) can efficiently decode any moderately redundant code with near maximum likelihood (ML) performance via noise effect guessing. For bi…
SOGRAND decoding of LDPC codes
Ken R. Duffy, Jiewei Feng, Lukas Rapp +1
Long forward error correction codes are typically constructed by concatenating shorter component codes that are then decoded through iterative Soft-Input Soft-Output (SISO) of thei…
The Linear Reliability Channel
Alexander Mariona, Ken R. Duffy, Muriel Médard
We introduce and analyze a discrete soft-decision channel called the linear reliability channel (LRC) in which the soft information is the rank ordering of the received symbol reli…
Joint Error Correction and Fading Channel Estimation Enhancement Leveraging GRAND
Charles Wiame, Ken R. Duffy, Muriel Médard
We present a novel method for error correction in the presence of fading channel estimation errors (CEE). When such errors are significant, considerable performance losses can be o…
SOGRAND Assisted Guesswork Reduction
Lukas Rapp, Muriel Médard, Ken R. Duffy
Proposals have been made to reduce the guesswork of Guessing Random Additive Noise Decoding (GRAND) for binary linear codes by leveraging codebook structure at the expense of degra…
A Balanced Tree Transformation to Reduce GRAND Queries
Lukas Rapp, Jiewei Feng, Muriel Médard +1
Guessing Random Additive Noise Decoding (GRAND) and its variants, known for their near-maximum likelihood performance, have been introduced in recent years. One such variant, Segme…
Leveraging Code Structure to Improve Soft Output for GRAND, GCD, OSD, and SCL
Jiewei Feng, Ken R. Duffy, Muriel Médard
In addition to a codeword, error correction decoders that provide blockwise soft output (SO) return an estimate of the likelihood that the decoding is correct. Following Forney, su…