A channel-adaptive nonbinary LDPC decoder

We propose a low-complexity decoding message truncation technique for nonbinary LDPC decoders by exploiting the extended min-sum algorithm. The proposed technique dynamically adjusts the decoding message length according to channel conditions, thereby reducing the decoding complexity while conforming to the desired level of decoding performance. Utilizing the proposed technique, the decoding operations as well as the power consumption of the non-binary LDPC decoder can be greatly reduced. Simulation results demonstrate that the proposed technique can achieve a better power-performance tradeoff over conventional techniques.