This paper proposes an improved version of concatenated code scheme in massive random access, with performance enhancement and low-complexity implementation. Under theoretical idealization, most existing solutions only consider improving energy efficiency, ignoring the cost of implementation complexity. However, both of them are vital when it comes to practical realization. Although the concatenated code system is simple to implement, its performance is relatively weak, and the equivalent mapping detection method adopted at the receiving end causes performance loss. Therefore, based on concatenated code system, this paper makes performance improvements in the following three aspects: (i) using multi-level decisions to avoid loss of information; (ii) a priori information aided detection utilizing the distribution of multi-level symbols to minimize the error probability of detection; (iii) soft information output to enhance soft decoders at the next stage. Meanwhile, in decoding complexity, the improved algorithm retains the low complexity feature of the concatenated code system and achieves linear implementation. This scheme successfully enhances energy efficiency at a lower complexity cost by improving the detection algorithm. We prove that the proposed method is an implementation-oriented massive random access with advantages in energy efficiency and performance by theory and simulation.


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    Title :

    An Improved Design of Concatenated Code Scheme for Massive Random Access


    Contributors:
    Li, Yuanjie (author) / Dong, Chao (author) / Suo, Shiqiang (author) / Niu, Kai (author) / Lin, Jiaru (author)


    Publication date :

    2022-06-01


    Size :

    493781 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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