Reducing the Dissipated Energy in Multi-standard Turbo and LDPC Decoders

Abstract

Parallel Low-Density Parity-Check and turbo code decoding consists of iterative processes that rely on the exchange of messages among multiple processing elements (PEs). They are characterized by complex communication patterns that require area expensive interconnect and memory management. Channel decoders based on Networks-on-Chip (NoCs) have been proposed in the literature, showing unmatched degrees of flexibility, but yielding high area occupation and power consumption. While general and applicationspecific power reduction techniques are available to save energy, the gap with respect to dedicated decoders is still large. This paper proposes techniques that reduce and optimize the traffic on the network for NoC-based channel decoders, and can be applied to any NoC architecture. The proposed techniques exploit the probabilistic nature and the processing order of the exchanged messages in