This paper considers protograph-based LDPC codes, and proposes an optimization method to select protographs that minimize the energy consumption of quantized min-sum decoders. This method first estimates the average number of iterations required by the decoder, and includes this estimate into two high-level models that evaluate the decoder energy consumption. The optimization problem is then formulated as minimizing the energy consumption of the decoder while satisfying a performance criterion on the frame error rate. Finally, an optimization algorithm based on differential evolution is introduced. Protograph optimized for energy consumption shows a gain in energy of approximately 15% compared with a baseline protograph optimized for performance only.

本文考虑了基于原型的LDPC码，并提出了一种用于选择原型的优化方法，以使量化的最小和解码器的能耗最小。该方法首先估算解码器所需的平均迭代次数，然后将此估算值纳入评估解码器能耗的两个高级模型中。然后将优化问题表述为在满足关于帧错误率的性能标准的同时使解码器的能量消耗最小化。最后，介绍了一种基于差分进化的优化算法。与仅为性能而优化的基线原型相比，针对能耗优化的原型仪显示出约15 ％的能量增益。