Joint Coding and Adaptive Image Transmission Scheme Based on DP-LDPC Codes for IoT Scenarios

Abstract

For wireless image communication in the Internet of Things (IoT) scenarios, fast and low error coding and transmission mechanisms are imperative. The joint source-channel coding scheme based on the double protograph low-density parity-check (DP-LDPC) codes would be a potential candidate due to the low complexity and good error performance. However, the error floor performance of DP-LDPC codes may deteriorate for source sequences with higher source probabilities or shorter block lengths. This paper aims to improve the traditional DP-LDPC image transmission system for the IoT scenarios from the following aspects. First, a joint optimization method of finite-length DP-LDPC codes is proposed to reduce the error floor while keeping satisfactory waterfall region performance. Second, an improved rate allocation strategy based on the fuzzy logic control is adopted to further improve the transmission reliability of the proposed short block length DP-LDPC codes. This scheme may offer some new solutions for the IoT image communication. The simulation results indicate the effectiveness of the proposed methods.

Keywords

• DP-LDPC codes
• IoT image communication
• JSCC
• joint optimization
• rate allocation