Optimization of Mixed Numerology Profiles for 5G Wireless Communication Scenarios

Noélia Correia; Faroq Al-Tam; Jonathan Rodriguez

doi:10.3390/s21041494

Optimization of Mixed Numerology Profiles for 5G Wireless Communication Scenarios

Noélia Correia^*, Faroq Al-Tam, Jonathan Rodriguez

^*Corresponding author for this work

Department of Computer Science

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

106 Downloads (Pure)

Abstract

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.

Original language	English
Article number	1494
Pages (from-to)	1-22
Number of pages	22
Journal	Sensors
Volume	21
Issue number	4
DOIs	https://doi.org/10.3390/s21041494
Publication status	Published - 21 Feb 2021

Keywords

5th-Generation mobile networks
Mixed numerology
Radio resource management

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10.3390/s21041494Licence: CC BY

ArticleFinal published version, 461 KBLicence: CC BY

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title = "Optimization of Mixed Numerology Profiles for 5G Wireless Communication Scenarios",

abstract = "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.",

keywords = "5th-Generation mobile networks, Mixed numerology, Radio resource management",

author = "No{\'e}lia Correia and Faroq Al-Tam and Jonathan Rodriguez",

note = "Funding Information: Funding: This research was funded by the European Regional Development Fund (FEDER), through the Competitiveness and Internationalization Operational Programme (COMPETE 2020), the Regional Operational Program of the Algarve (2020), and Funda{\c c}{\~a}o para a Ci{\^e}ncia e Tecnologia; i-Five: Extens{\~a}o do acesso de espectro din{\^a}mico para r{\'a}dio 5G, POCI-01-0145-FEDER-030500. This work is also supported by Funda{\c c}{\~a}o para a ci{\^e}ncia e Tecnologia within CEOT (Center for Electronic, Optoelectronic and Telecommunications) and the UID/MULTI/00631/2020 project. Funding Information: This research was funded by the European Regional Development Fund (FEDER), through the Competitiveness and Internationalization Operational Programme (COMPETE 2020), the Regional Operational Program of the Algarve (2020), and Funda??o para a Ci?ncia e Tecnologia; i-Five: Extens?o do acesso de espectro din?mico para r?dio 5G, POCI-01-0145-FEDER-030500. This work is also supported by Funda??o para a ci?ncia e Tecnologia within CEOT (Center for Electronic, Optoelectronic and Telecommunications) and the UID/MULTI/00631/2020 project. Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

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N1 - Funding Information: Funding: This research was funded by the European Regional Development Fund (FEDER), through the Competitiveness and Internationalization Operational Programme (COMPETE 2020), the Regional Operational Program of the Algarve (2020), and Fundação para a Ciência e Tecnologia; i-Five: Extensão do acesso de espectro dinâmico para rádio 5G, POCI-01-0145-FEDER-030500. This work is also supported by Fundação para a ciência e Tecnologia within CEOT (Center for Electronic, Optoelectronic and Telecommunications) and the UID/MULTI/00631/2020 project. Funding Information: This research was funded by the European Regional Development Fund (FEDER), through the Competitiveness and Internationalization Operational Programme (COMPETE 2020), the Regional Operational Program of the Algarve (2020), and Funda??o para a Ci?ncia e Tecnologia; i-Five: Extens?o do acesso de espectro din?mico para r?dio 5G, POCI-01-0145-FEDER-030500. This work is also supported by Funda??o para a ci?ncia e Tecnologia within CEOT (Center for Electronic, Optoelectronic and Telecommunications) and the UID/MULTI/00631/2020 project. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

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N2 - 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.

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Optimization of Mixed Numerology Profiles for 5G Wireless Communication Scenarios

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