A1 Journal article (refereed)
Joint Spectral and Energy Efficiency Optimization for Downlink NOMA Networks (2020)


Khan, Wali Ullah; Jameel, Furqan; Ristaniemi, Tapani; Khan, Shafiullah; Sidhu, Guftaar Ahmad Sardar; Liu, Ju (2020). Joint Spectral and Energy Efficiency Optimization for Downlink NOMA Networks. IEEE Transactions on Cognitive Communications and Networking, 6 (2), 645-656. DOI: 10.1109/TCCN.2019.2945802


JYU authors or editors


Publication details

All authors or editors: Khan, Wali Ullah; Jameel, Furqan; Ristaniemi, Tapani; Khan, Shafiullah; Sidhu, Guftaar Ahmad Sardar; Liu, Ju

Journal or series: IEEE Transactions on Cognitive Communications and Networking

ISSN: 2372-2045

eISSN: 2332-7731

Publication year: 2020

Volume: 6

Issue number: 2

Pages range: 645-656

Publisher: Institute of Electrical and Electronics Engineers

Publication country: United States

Publication language: English

DOI: http://doi.org/10.1109/TCCN.2019.2945802

Open Access: Publication channel is not openly available

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/70286


Abstract

Non-orthogonal multiple access (NOMA) holds the promise to be a key enabler of 5G communication. However, the existing design of NOMA systems must be optimized to achieve maximum rate while using minimum transmit power. To do so, this paper provides a novel technique based on multi-objective optimization to efficiently allocate resources in the multi-user NOMA systems supporting downlink transmission. Specifically, our unique optimization technique jointly improves spectrum and energy efficiency while satisfying the constraints on users quality of services (QoS) requirements, transmit power budget and successive interference cancellation. We first formulate a joint problem for spectrum and energy optimization and then employ dual decomposition technique to obtain an efficient solution. For the sake of comparison, a low complexity single-objective NOMA optimization scheme is also provided as a benchmark scheme. The simulation results show that the proposed joint approach not only performs better than the traditional benchmark NOMA scheme but also significantly outperforms its counterpart orthogonal multiple access (OMA) schemes in terms of both energy and spectral efficiency.


Keywords: 5G technology; wireless data transmission; energy efficiency; optimisation

Free keywords: NOMA; optimization; resource management; downlink; quality of service; silicon carbide; power system management


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2020

Preliminary JUFO rating: 1


Last updated on 2020-18-08 at 13:25