Polar Code Decoding Tree Simplification for Lower Hardware Latency

The decoder is divided into multiple processing stages, where each stage processes a subset of the code bits. This segmentation allows the overall complex decoding task to be broken down into smaller, more manageable sub-tasks that can be executed in parallel or sequentially with reduced resource requirements at each stage.

The decoder architecture employs dynamic resource allocation where processing elements and memory elements are activated and deactivated based on the current processing stage and requirements. This dynamic approach allows the same hardware resources to be reused across different stages, reducing the total number of elements needed compared to a static architecture that would require all resources to be simultaneously available.

The decoding process is organized into periodic stages, where each stage completes a specific subset of decoding operations before transitioning to the next stage. This periodic structure allows for systematic progression through the decoding process, ensuring that accuracy requirements are met while maintaining a predictable and optimized timing schedule that reduces overall latency.

Certain preprocessing operations are performed on the received signal before the main decoding process begins, including initial likelihood ratio calculations and frozen bit handling. This preliminary action prepares the data in advance, reducing the computational burden during the critical decoding stages and thereby reducing overall latency without compromising decoding accuracy.