TY - JOUR
T1 - Optimization of mixed numerology profiles for 5g wireless communication scenarios
AU - Correia, Noélia
AU - Al-Tam, Faroq
AU - Rodriguez, Jonathan
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.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/2/21
Y1 - 2021/2/21
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.
AB - 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.
KW - 5th-Generation mobile networks
KW - Mixed numerology
KW - Radio resource management
U2 - 10.3390/s21041494
DO - 10.3390/s21041494
M3 - Article
C2 - 33670056
AN - SCOPUS:85101218249
SN - 1424-8220
VL - 21
SP - 1
EP - 22
JO - Sensors
JF - Sensors
IS - 4
M1 - 1494
ER -