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Open AccessArticle

Optimization of Mixed Numerology Profiles for 5G Wireless Communication Scenarios

1
Center for Electronic, Optoelectronic and Telecommunications (CEOT), University of Algarve, 8005-139 Faro, Portugal
2
Department of Computer Science, Aberystwyth University, Aberystwyth SY23 3FL, UK
3
Instituto de Telecomunicações, Universidade de Aveiro, 3810-193 Aveiro, Portugal
*
Author to whom correspondence should be addressed.
This paper is an extended version of the paper published in: Correia, N.; Al-Tam, F.; Rodriguez, J. Adaptive Spectrum Allocation for 5G Wireless Communication Scenarios. IEEE 25th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Pisa, Italy, 14–16 September 2020, pp. 1–6, doi:10.1109/CAMAD50429.2020.9209267.
Academic Editor: Gwanggil Jeon
Sensors 2021, 21(4), 1494; https://doi.org/10.3390/s21041494
Received: 23 December 2020 / Revised: 16 February 2021 / Accepted: 17 February 2021 / Published: 21 February 2021
The management of 5G resources is a demanding task, requiring proper planning of operating numerology indexes and spectrum allocation according to current traffic needs. In addition, any reconfigurations to adapt to the current traffic pattern should be minimized to reduce signaling overhead. In this article, the pre-planning of numerology profiles is proposed to address this problem, and a mathematical optimization model for their planning is developed. The idea is to explore requirements and impairments usually present in a given wireless communication scenario to build numerology profiles and then adopt one of the profiles according to the current users/traffic pattern. The model allows the optimization of mixed numerologies in future 5G systems under any wireless communication scenario, with specific service requirements and impairments, and under any traffic scenario. Results show that, depending on the granularity of the profiles, the proposed optimization model is able to provide satisfaction levels of 60–100%, whereas a non-optimized approach provides 40–65%, while minimizing the total number of numerology indexes in operation. View Full-Text
Keywords: 5th-Generation mobile networks; radio resource management; mixed numerology 5th-Generation mobile networks; radio resource management; mixed numerology
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MDPI and ACS Style

Correia, N.; Al-Tam, F.; Rodriguez, J. Optimization of Mixed Numerology Profiles for 5G Wireless Communication Scenarios. Sensors 2021, 21, 1494. https://doi.org/10.3390/s21041494

AMA Style

Correia N, Al-Tam F, Rodriguez J. Optimization of Mixed Numerology Profiles for 5G Wireless Communication Scenarios. Sensors. 2021; 21(4):1494. https://doi.org/10.3390/s21041494

Chicago/Turabian Style

Correia, Noélia; Al-Tam, Faroq; Rodriguez, Jonathan. 2021. "Optimization of Mixed Numerology Profiles for 5G Wireless Communication Scenarios" Sensors 21, no. 4: 1494. https://doi.org/10.3390/s21041494

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