The fifth generation (5G) wireless communication technologies are analyzing non-orthogonal multiple access (NOMA) methods to facilitate the Internet of things (IoT) scenarios hosting a large number of users. In this paper, we consider a scenario where the network operator shares the uplink spectrum between the original long term evolution (LTE) users and new users using a code-domain NOMA technique called sparse code multiple access (SCMA). Since obtaining the optimal solution for resource allocation in such systems is exponentially complex, we propose heuristic algorithms for LTE and SCMA, with the objective of maximizing the overall achievable rate in the network. The simulation results indicate that the performance of the proposed algorithms is close to 90% of that of the optimal solution.


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    Titel :

    Uplink Resource Allocation for Shared LTE and SCMA IoT Systems


    Beteiligte:


    Erscheinungsdatum :

    01.06.2018


    Format / Umfang :

    155833 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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