MBBP for improved iterative channel decoding in 802.16e WiMAX systems

TL;DR

This paper introduces a multiple-bases belief-propagation decoding method for WiMAX LDPC codes, significantly reducing the gap to theoretical limits while maintaining low decoding delay.

Contribution

It applies an optimized iterative decoding technique to WiMAX LDPC codes, improving performance without increasing decoding delay.

Findings

Reduces gap to the random coding bound by about 20%.

Allows parallel operations, maintaining decoding delay.

Outperforms standard belief-propagation decoding.

Abstract

We propose the application of multiple-bases belief-propagation, an optimized iterative decoding method, to a set of rate-1/2 LDPC codes from the IEEE 802.16e WiMAX standard. The presented approach allows for improved decoding performance when signaling over the AWGN channel. As all required operations for this method can be run in parallel, the decoding delay of this method and standard belief-propagation decoding are equal. The obtained results are compared to the performance of LDPC codes optimized with the progressive edge-growth algorithm and to bounds from information theory. It will be shown that the discussed method mitigates the gap to the well-known random coding bound by about 20 percent.