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Data analytics in the 5G radio access network and its applicability to fixed wireless access

Author
Sallent, J.; Perez-Romero, J.; Ferrús, R.; Agusti, R.
Type of activity
Presentation of work at congresses
Name of edition
IEEE 89th Vehicular Technology Conference Spring
Date of publication
2019
Presentation's date
2019-04
Book of congress proceedings
2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring): Kuala Lumpur, Malaysia: 28 April-1 May 2019
First page
1
Last page
6
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/VTCSpring.2019.8746553
Project funding
Embedded Network Services for 5G Experiences
Softwarization and automatic optimization of multi-tenant 5G radio access networks
Repository
http://hdl.handle.net/2117/173932 Open in new window
URL
https://ieeexplore.ieee.org/document/8746553 Open in new window
Abstract
This paper discusses the exploitation of data analytics for supporting the operation of Radio Resource Management (RRM) in the Next Generation Radio Access Network (NG-RAN), analysing the need for standardised and open frameworks and the specific characteristics of the NG-RAN that impact on the design of data analytics solutions. As a practical example of this concept, a simple but illustrative use case is presented, which intends to enhance the Radio Admission Control (RAC) function with data a...
Citation
Sallent, J. [et al.]. Data analytics in the 5G radio access network and its applicability to fixed wireless access. A: IEEE Vehicular Technology Conference. "2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring): Kuala Lumpur, Malaysia: 28 April-1 May 2019". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 1-6.
Keywords
5G, Data analytics, Fixed wireless access, Radio admission control
Group of research
CCABA - Advanced Broadband Communications Center
GRCM - Mobile Communication Reserach Group

Participants