DVFS based power management for LDPC decoders with early termination

Abstract

Low-density parity check (LDPC) codes are a mature coding scheme in telecommunications and the low power implementation of corresponding decoders is an issue of significant importance for receivers with stringent power budgets. This paper presents a power reduction technique for LDPC decoders that further extends their energy-proportional behavior, obtained with early-termination (ET), by predicting the required number of iterations and by applying dynamic voltage and frequency scaling (DVFS). The number of expected iterations and the associated voltage/frequency settings are predicted with a novel algorithm that is based on the offline statistical analysis of the number of decoding iterations. This algorithm systematically trades the error-correcting performance up to a predefined approximation level for the achieved amount of power reduction beyond ET. Simulation and postlayout implementation results in a 28 nm FD-SOI technology prove that the proposed algorithm, when integrated with an LDPC decoder, can significantly reduce the power consumption with negligible overhead.