Joint Spectrum and Energy Optimization of NOMA-Enabled Small-Cell Networks with QoS Guarantee

Wali Ullah Khan, Furqan Jameel, Xingwang Li*, Muhammad Bilal, Theodoros A. Tsiftsis

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    23 Citations (Scopus)

    Abstract

    In recent years, wireless communication has experienced a massive shift from a single service (i.e., voice) to an interconnected web of networks. Although many techniques have been developed improving the offered services to mobile users, still the demand for high-quality services cannot be reached. Therefore, this paper proposes a joint non-orthogonal multiple access (NOMA)-enabled optimization framework for small-cell network (SCNet) by utilizing the concepts of multi-objective problem. In particular, the transmit power of base station (BS) in each small-cell simultaneously optimizes to maximize the sum-capacity and total energy efficiency (EE) of SCNet. The multi-objective optimization problem is formulated as non-convex subject to several practical constraints, i.e., individual quality of service requirement, maximum power budget of small-cell BS, and efficient decoding of superimposed signal using successive interference cancellation. Based on the nature of the problem, the optimal solutions are provided using sequential quadratic programming, and Karush-Kuhn-Tucker approaches. The obtained results show significant performance gains over conventional orthogonal multiple access technique in terms of sum-capacity and total EE.

    Original languageEnglish
    Article number9479745
    Pages (from-to)8337-8342
    Number of pages6
    JournalIEEE Transactions on Vehicular Technology
    Volume70
    Issue number8
    DOIs
    Publication statusPublished - Aug 2021
    MoE publication typeA1 Journal article-refereed

    Keywords

    • Multi-objective optimization
    • non-orthogonal multiple access
    • sequential quadratic programing

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