9 citations · 9 across the 2 of their papers we have counts for
5 papers
Neural Network Coding
Litian Liu, Amit Solomon, Salman Salamatian +1
In this paper we introduce Neural Network Coding(NNC), a data-driven approach to joint source and network coding. In NNC, the encoders at each source and intermediate node, as well…
Noise Recycling
Alejandro Cohen, Amit Solomon, Ken R. Duffy +1
We introduce Noise Recycling, a method that enhances decoding performance of channels subject to correlated noise without joint decoding. The method can be used with any combinatio…
Noise Recycling
Alejandro Cohen, Amit Solomon, Ken R. Duffy +1
We introduce Noise Recycling, a method that substantially enhances decoding performance of orthogonal channels subject to correlated noise without the need for joint encoding or de…
Soft Maximum Likelihood Decoding using GRAND
Amit Solomon, Ken R. Duffy, Muriel Médard
Maximum Likelihood (ML) decoding of forward error correction codes is known to be optimally accurate, but is not used in practice as it proves too challenging to efficiently implem…
5G NR CA-Polar Maximum Likelihood Decoding by GRAND
Ken Duffy, Amit Solomon, Kishori M. Konwar +1
CA-Polar codes have been selected for all control channel communications in 5G NR, but accurate, computationally feasible decoders are still subject to development. Here we report…