Abstract
This paper studies an adaptive coding scheme for B5G (beyond 5th generation) mobile system-enhanced transmission technology. Different from the existing works, the authors develop a class of rate-compatible, non-binary, low-density parity check (RC-NB-LDPC) codes, which expresses the strong connection between the algebra-based and graph-theoretic-based constructions. The constructed codes can not only express rate-compatible (RC) features, but also possess a quasi-cyclic (QC) structure that facilitates the encoding implementation. Further, in order to achieve the code rate-adaptive allocation scheme, the authors propose using the K-means++ clustering algorithm to cluster different channel environments, considering various factors that affect channel characteristics. Finally, in order to present the advantages of the adaptive coding scheme, the authors construct a coding scheme for image transmission. The numerical results demonstrate that the developed code can obtain better waterfall performance in a larger code rate range, which is more suitable for data transmission; the adaptive coding transmission scheme can obtain higher reconstructed image quality compared to the fixed code rate-coding scheme. Moreover, when considering unequal error protection (UEP), the proposed scheme can further improve the reconstructed image quality.
Highlights
With the advent of the 5G communication era, the demand for wireless communication is still strong, and the increased spectrum and power resources are insufficient
This paper studies an adaptive coding scheme for the B5G mobile system
The numerical results demonstrate that the developed code can obtain better waterfall performance in a larger code rate range, which is more suitable for data transmission; the adaptive coding transmission scheme can obtain higher reconstructed image quality compared to the fixed code rate-coding scheme
Summary
With the advent of the 5G communication era, the demand for wireless communication is still strong, and the increased spectrum and power resources are insufficient. One should improve the error-correcting, anti-jamming, and efficient transmission capabilities for B5G. Among the communication technologies for error correction and detection, channel coding can significantly improve the reliability of communication systems and ensure efficient transmission—this has become one of the focuses among the communication technologies [3,4,5,6,7,8,9]. In order to achieve significant improvements with key performance parameters, the channel-coding technique for B5G should have features such as large coding gain, low-complexity, low-latency, high-throughput, and flexible code parameters [10,11]. The conventional single channel-coding schemes can hardly meet all of the requirements of B5G. The B5G system will select different channel-coding schemes for different scenarios and serves to meet the corresponding technical requirements
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