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.

Optimized Code Design for Constrained DNA Data Storage With Asymmetric Errors

“…Considering the larger size base matrices, the genetic algorithm (GA) [33] is processed to search the optimal higher rate codes over the Illumina sequencer channel. The PEXIT analyses of the searched codes exhibit the regularity that a certain proportion of precoded VNs should be added to construct good protographs for higher rate codes.…”

Generalized Joint Shuffled Scheduling Decoding Algorithm for the JSCC System Based on Protograph-LDPC Codes

“…The type-II linking matrix was introduced in [20], and further study showed that the type-II linking matrix has a significant influence on the system performance [22]. The code pair of source code and channel code were jointly optimized in [23], [29]. Moreover, three or four components among source code, channel code, type-I linking matrix and type-II linking matrix were jointly optimized over the additive white Gaussian noise (AWGN) channel by binary phase shift keying (BPSK) modulation [25], or over the Rayleigh fading channel [26] by M-ary differential chaos shift keying (DCSK) modulation [27].…”

Joint Early Stopping Criterions for Protograph LDPC Codes-Based JSCC System in Images Transmission

“…Though the methods of designing the short block length codes for URLLC [2] have been of concern, the architecture of the joint source and channel coding (JSCC) can also give another efficient way to satisfy the low-latency requirement. The JSCC system based on double protograph low-density parity-check (LDPC) codes [3][4][5][6][7][8][9][10][11][12][13][14] has been attracting increasing attention in recent years for its excellent properties, such as low power and low cost. In this system, protograph LDPC (P-LDPC) codes, which have the excellent properties of fast encoding speed and linear decoding implementation [15][16][17][18], are adopted to the source codes for compressing and channel codes for error correcting.…”