Decoding low-density parity-check codes with probabilistic scheduling
Article Ecrit par: Yongyi, Mao ; Banihashemi, Amir H. ;
Résumé: In this letter, we present a new message-passing schedule for the decoding of low-density parity-check (LDPC) codes. This approach, designated "probabilistic schedule," takes into account the structure of the Tanner graph (TG) of the code. We show by simulation that the new schedule offers a much better performance/complexity trade-off. This work also suggests that scheduling plays an important role in iterative decoding and that a schedule that matches the structure of the TG is desirable.
Langue:
Anglais