Machine-to-Machine (M2M) communications are expected to support extremely harsh requirements on both latency and reliability, which is characterized by the ultra-reliable, low-latency coding (uRLLC) technology in physical layer. In this paper, motivated by the recent development on the finite-blocklength information theory, we propose an ultra-reliable short blocklength analog fountain code (AFC) for M2M communications. First, we use the extrinsic information transfer (EXIT) chart to analyze the AFC compressive sensing belief propagation (CS-BP) decoding algorithm, by tracking the mutual information of AFC CS-BP decoding process, which related to the channel dispersion for the short blocklength AFC. Then, based on the EXIT chart analysis, we propose a Weight-set optimization progressive edge-growth (WO-PEG) encoding algorithm for the short blocklength AFC. Simulation results show that the proposed WO-PEG AFC scheme can effectively improve block error rate (BLER) in the short blocklength regime.


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    Title :

    Analysis and Design of Ultra-Reliable Short Blocklength Analog Fountain Codes


    Contributors:
    Zhang, Ke (author) / Jiao, Jian (author) / Huang, Zixuan (author) / Feng, Bowen (author) / Wu, Shaohua (author) / Cao, Bin (author) / Zhang, Qinyu (author)


    Publication date :

    2018-08-01


    Size :

    354708 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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