Mattia Marino
Efficient belief propagation decoding of polar codes: algorithms and architectures.
Rel. Guido Masera, Maurizio Martina. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2019
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Abstract
Nowadays considering the transmission infrastructures of large data that travel at very high speeds, they must be transferred with considerable efficiency. Important results have been achieved almost at the limit of the maximum capacity of the transmission channel with different types of Error Correction Code (ECC), although they have never fully saturated it. The new generation polar codes, as demonstrated, are able, due to their recursion, to reach the maximum capacity of the channel with low complexity coding structures. Instead, in the information decoding process, the Belief Propagation, an iterative parallel decoding algorithm, has been studied, which allows to improve low latency performance.
To eliminate the same latency times due to the iterative convergence procedure, the early stopping criteria have been studied and introduced
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