标题： 低分辨率水平和垂直分层互信息最大化的LDPC解码 显示英文标题

标题： Low-Resolution Horizontal and Vertical Layered Mutual Information Maximizing LDPC Decoding

摘要： 我们研究用于具有水平和垂直分层调度的准循环LDPC码的迭代低分辨率消息传递算法。 粗粒度量化和分层调度对于硬件实现非常重要，以减少消息的位宽和解码迭代次数。 作为创新点，本文比较了两种调度变体，并结合变量节点和校验节点中的最大化互信息压缩操作。 我们评估了各种配置下的复杂度和误码率性能。 在概念层面上推导了常规准循环LDPC解码器的专用硬件架构。 硬件资源估计确认，大部分复杂度位于路由网络操作中。 我们的仿真结果表明，两种分层调度的误码率性能相似，但水平解码器的平均迭代次数略低。 显示英文摘要

摘要： We investigate iterative low-resolution message-passing algorithms for quasi-cyclic LDPC codes with horizontal and vertical layered schedules. Coarse quantization and layered scheduling are highly relevant for hardware implementations to reduce the bit width of messages and the number of decoding iterations. As a novelty, this paper compares the two scheduling variants in combination with mutual information maximizing compression operations in variable and check nodes. We evaluate the complexity and error rate performance for various configurations. Dedicated hardware architectures for regular quasi-cyclic LDPC decoders are derived on a conceptual level. The hardware-resource estimates confirm that most of the complexity lies within the routing network operations. Our simulations reveal similar error rate performance for both layered schedules but a slightly lower average iteration count for the horizontal decoder.