The compressive sensing-based random access may get impacted largely by other cell interference (OCI), which may shatter the sparsity of the received signal model unless the signature space assignment among interfering cells is carefully handled. In this paper, we investigate the performance of multi-sequence spreading-based random access (MSRA) scheme under multi-cell environment. In particular, a grant-free random access scenario is considered to indicate its particular attributes that fundamentally affect the cellular performance. We also give the performance of MSRA in comparison with sparse code multiple access (SCMA). We show that if a proper signature assignment is undertaken, the OCI in MSRA and other CS-based schemes can be modeled as a dispersed noise which does not critically undermine the underlying sparsity.


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    Title :

    Multi-Cell Performance of Grant-Free and Non-Orthogonal Multiple Access


    Contributors:


    Publication date :

    2017-06-01


    Size :

    764363 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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