Mimic turbo compiled code structure for wireless communication systems

Author:

Shi Yuchen12ORCID,Liu Shangdong12,Shao Sisi23,Ji Yimu12,Wu Fei24,Gu Tiansheng12,Zheng Yulu12,Nie Yijun12,Ji Zongkai12,Sun Cailing1,Chen Zeng5,Sun Yawei6

Affiliation:

1. School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China

2. Institute of High Performance Computing and Bigdata Nanjing University of Posts and Telecommunications Nanjing China

3. School of Internet Things Nanjing University of Posts and Telecommunications Nanjing China

4. College of Automation & College of Artificial Intelligence Nanjing University of Posts and Telecommunications Nanjing China

5. Big Data Center Jiangsu Cancer Hospital Nanjing China

6. R&D Department Northern Information Control Research Academy Group Co., Ltd. Nanjing China

Abstract

AbstractTurbo codes play a crucial role in wireless communication systems, and their compiled code structures are key factors affecting the performance of the entire communication system. As a result, the study of turbo compiled code structures has been a focal point for researchers. The iterative decoding of turbo code structures has multiple limitations and large storage resource consumption, leading to poor system anti‐interference ability and a rapid increase in BER. To address these issues, this paper proposes the mimic turbo compiled code structure (MTCCS) for wireless communication systems. MTCCS is based on the DHR idea, incorporating dynamic, heterogeneous, and redundancy characteristics. Dynamicity is achieved through a dynamic scheduling algorithm based on abnormal feedback information. Heterogeneity is achieved through a codec component collection design method based on intrinsic and extrinsic heterogeneity. Redundancy is achieved through a majority voting algorithm. At the beginning of information transmission, MTCCS randomly selects heterogeneous codecs from the heterogeneous codec collection to enter the runtime pool. After the information transmission is complete, the majority voting algorithm is used to adjudicate the multi‐mode output of the codecs, resulting in a relatively accurate decoding outcome. Meanwhile, the dynamic scheduling module calculates the abnormal feedback information of each codec and accordingly dynamically schedules the mimic turbo codecs to replace the abnormal ones. Through the above process, MTCCS realizes the adaptive compilation code and improves the anti‐interference ability of turbo code. Simulation experiments are conducted on MTCCS in both non‐interference and interference scenarios. Simulation experiments show that MTCCS introducing the DHR idea achieves a balance between anti‐interference and decoding performance. It effectively addresses the issue of poor anti‐interference ability in turbo codes, and the decoding performance of MTCCS is superior to that of the previous single conventional turbo codes.

Funder

National Key Research and Development Program of China

Publisher

Institution of Engineering and Technology (IET)

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