A Memory Mapping Approach for Parallel Interleaver Design With Multiples Read and Write Accesses
For high throughput applications, turbo-like iterative decoders are implemented with parallel architectures. However, to be efficient parallel architectures require avoiding collision accesses i.e. concurrent read/write accesses should not target the same memory block. This consideration applies to the two main classes of turbo-like codes which are Low-Density Parity-Check (LDPC) and turbo-codes. In this paper, the authors propose a methodology which always finds a collision-free mapping of the variables in the memory banks and which optimizes the resulting interleaving architecture.