Joint Coding/Decoding Optimization for DC-BICM System: Collaborative Design

作     者：Xu, Zhiping Wang, Lin Chen, Guanrong 

作者机构：Xiamen Univ Dept Commun Engn Xiamen 361005 Peoples R China Xiamen Univ Natl Inst Data Sci Hlth & Med Xiamen 361005 Peoples R China City Univ Hong Kong Dept Elect Engn Hong Kong 999077 Peoples R China 

出 版 物：《IEEE COMMUNICATIONS LETTERS》 (IEEE通讯快报)

年 卷 期：2021年第25卷第8期

页      面：2487-2491页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 

基　　金：National Natural Science Foundation of China 

主　　题：Decoding Complexity theory Fading channels Encoding Manganese Collaboration Scheduling DCSK BICM joint coding and decoding protograph LDPC shuffled scheduling extrinsic information transfer multipath Rayleigh fading channel 

摘      要：Differential chaotic bit-interleaved coded modulation (DC-BICM) system can achieve coding gain from channel code without loss of bandwidth in the differential chaos shift keying (DCSK) system, but the current DC-BICM system using the belief propagation decoding algorithm has high decoding complexity, which brings burdens to resource-limited applications. In this letter, a novel collaborative design framework based on joint coding and decoding optimization is proposed for the DC-BICM system over multipath Rayleigh channels. Firstly, the column-weight-based (CWB) shuffled scheduling decoding is introduced into the DC-BICM system to lower the decoding complexity, called shuffled-based DC-BICM system. Then, a CWB extrinsic information transfer (CWB-EXIT) algorithm is developed for the theoretical analysis of this system. With the CWB-EXIT algorithm, a low-storage protograph low-density parity-check (P-LDPC) code is designed for this system, and the column-weight distribution is taken as an important constraint in the collaborative design process. In this way, the storage space used for storing the scheduling order in the CWB shuffled scheduling can be saved, whose size is proportional to code length. Theoretical analysis and simulations show that the shuffled-based DC-BICM system with the low-storage P-LDPC code can achieve lower decoding complexity, less storage requirement and better performance than the existing systems.