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

Khan, Wali Ullah and Jameel, Furqan and Li, Xingwang and Bilal, Muhammad and Tsiftsis, Theodoros A. (2021) Joint Spectrum and Energy Optimization of NOMA-Enabled Small-Cell Networks with QoS Guarantee. IEEE Transactions on Vehicular Technology, 70 (8): 9479745. pp. 8337-8342. ISSN 0018-9545

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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.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Transactions on Vehicular Technology
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200/2203
Subjects:
?? multi-objective optimizationnon-orthogonal multiple accesssequential quadratic programingautomotive engineeringaerospace engineeringelectrical and electronic engineeringapplied mathematicscomputer networks and communications ??
ID Code:
205026
Deposited By:
Deposited On:
28 Sep 2023 09:20
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 00:13