We consider a downlink resource allocation problem that maximizes the downlink rate, where several users can be allocated to the same resource by employing a larger modulation alphabet. Moreover, each user is constrained to receive across one resource only. The latter constraint is especially suitable for computational and power constrained users. These requirements give rise to a different resource allocation problem compared to previous studies. The throughput of a user is not measured by conventional logarithm formulae for throughput (which implicitly assume Gaussian alphabets). Instead, we let UEs calculate effective signal- to-noise-ratios for each resource and modulation alphabet, which corresponds to the achievable data rate on a resource with the specific modulation. These values are reported to the transmitter, which then uses them to find the optimal allocation. The underlying optimization problem is discrete, and it is made linear through our formulation of the problem. We solve the problem exactly, and formulate a simple heuristic allocation procedure that is close to the optimal allocation in simulated scenarios.


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    Title :

    Downlink Resource Allocation with Multiple Users Per Resource and Modulation Assignment


    Contributors:


    Publication date :

    2017-09-01


    Size :

    188312 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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