1.5 Gbit/s FPGA Implementation of a Fully-Parallel Turbo Decoder Designed for Mission-Critical Machine-Type Communication Applications

An Li, Peter Hailes, Robert G. Maunder, Bashir M. Al-Hashimi, Lajos Hanzo
2016 IEEE Access  
In wireless communication schemes, turbo codes facilitate near-capacity transmission throughputs by achieving reliable forward error correction. However, owing to the serial data dependencies imposed by the underlying Logarithmic Bahl-Cocke-Jelinek-Raviv (Log-BCJR) algorithm, the limited processing throughputs of conventional turbo decoder implementations impose a severe bottleneck upon the overall throughputs of realtime wireless communication schemes. Motivated by this, we recently proposed a
more » ... recently proposed a Fully Parallel Turbo Decoder (FPTD) algorithm, which eliminates these serial data dependencies, allowing parallel processing and hence offering a significantly higher processing throughput. In this paper, we propose a novel resource-efficient version of the FPTD algorithm, which reduces its computational resource requirement by 50%, which enhancing its suitability for Field-Programmable Gate Array (FPGA) implementations. We propose a model FPGA implementation. When using a Stratix IV FPGA, the proposed FPTD FPGA implementation achieves an average throughput of 1.53 Gbit/s and an average latency of 0.56 µs, when decoding frames comprising N=720 bits. These are respectively 13.2 times and 11.1 times superior to those of the state-ofthe-art FPGA implementation of the Log-BCJR Long-Term Evolution (LTE) turbo decoder, when decoding frames of the same frame length at the same error correction capability. Furthermore, our proposed FPTD FPGA implementation achieves a normalized resource usage of 0.42 kALUTs Mbit/s , which is 5.2 times superior to that of the benchmarker decoder. Furthermore, when decoding the shortest N=40-bit LTE frames, the proposed FPTD FPGA implementation achieves an average throughput of 442 Mbit/s and an average latency of 0.18 µs, which are respectively 21.
doi:10.1109/access.2016.2599408 fatcat:gvso2qxw2vdyriwx5vznbt4wva