The combination of non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) has received considerable attention for maximizing energy efficiency (EE) in wireless networks. Previous studies focus on EE maximization based on pure OMA or NOMA offloading in MEC networks. In this paper, a hybrid NOMA (H-NOMA) scheme which dynamically transforms between pure OMA and pure NOMA offloading strategies is proposed under the general network status in the multi-user MEC network to maximize EE. An offloading multi-ratio EE problem is formulated. Two iterative algorithms, the successive Dinkelbach method-based algorithm and the quadratic transform-based fractional programming (FP) algorithm, are proposed to efficiently maximize the EE over multiple users' time and power within polynomial time via different FP techniques. Simulation results verify the properties of the proposed dynamic H-NOMA offloading strategy and show the superior performance of the H-NOMA strategy over EE in MEC systems.


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    Title :

    Energy Efficiency Maximization for Hybrid NOMA Strategy in Multi-User MEC Networks


    Contributors:
    Huang, Wenqi (author) / Wang, Kaidi (author) / Ding, Zhiguo (author)


    Publication date :

    2024-06-24


    Size :

    693425 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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