Energy Efficient Resource Allocation in Downlink Non-Orthogonal Multiple Access (NOMA) System

Ziad Al-Abbasi, Ka Chun So, Jie Tang

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    This paper investigates the resource allocation scheme to maximize the energy efficiency for a downlink nonorthogonal multiple access (NOMA) system. An optimization problem is formulated taking into account the total power and the
    minimum user rate requirements to balance the system energy efficiency and the total system throughput. Due to the complexity of the objective function, we used the Dinkelbach approach to convert the non-linear fractional programming problem into a simpler subtractive form. Then, the equivalent subtractive form-objective function problem is solved by using iterative programming. A subgradient based resource allocation algorithm is proposed to allocate the power for each user. Simulation results justify the effectiveness of the proposed method and show how it approaches the optimal solution. It also shows that the
    proposed schemes for NOMA provide better performance than the orthogonal frequency division multiple access (OFDMA) in terms of the energy efficiency and sum rate
    Original languageEnglish
    Title of host publicationIEEE Vehicular Technology Conference
    PublisherIEEE Computer Society
    Publication statusPublished - 2017
    Event2017 IEEE 85th Vehicular Technology Conference - Sydney, Australia
    Duration: 4 Jun 20177 Jun 2017


    Conference2017 IEEE 85th Vehicular Technology Conference
    Abbreviated titleVTC2017-Spring
    Internet address


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