Developing a LTE Localization Framework using Real Network Data towards RAN Optimization through Context Knowledge

R. Borralho; D. Duarte; A. Quddus; P. Vieira

doi:10.1109/WPMC50192.2020.9309483

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Developing a LTE Localization Framework using Real Network Data towards RAN Optimization through Context Knowledge

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Developing a LTE Localization Framework using Real Network Data towards RAN Optimization through Context Knowledge

R. Borralho, D. Duarte, A. Quddus and P. Vieira

Proceedings of The 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC2020)

Institute of Electrical and Electronics Engineers (IEEE)

The 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC2020) (Virtual, Online, 19/10/2020 - 26/10/2020)

19/10/2020

DOI: https://doi.org/10.1109/WPMC50192.2020.9309483

Abstract

Cellular networks; Minimization of Drive Test (MDT); Network context; Network Traces; Radio Network Planning and Optimization; Self-organizing network; Context-Aware Networks

The exponential growth of the network elements and data traffic exchange in the last few years elevated the need of network providers for optimized and cost-efficient solutions regarding network management and monitorization. Solutions such as drive-tests (DTs) are becoming extremely expensive with the vast extension and complexity of nowadays mobile networks. Therefore, this paper provides a solution for optimized networkcontext knowledge acquisition, towards the self-organizing networks (SONs) concept. The presented framework incorporates an entire scheme for network Traces processing and positioning, based on network measurements and fingerprinting techniques. This framework enables a series of different use cases for network management and optimization, with real-time data processing capabilities within the network Traces collection interval (15 minutes), and achieving a median positioning error of 90 m.

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Title: Developing a LTE Localization Framework using Real Network Data towards RAN Optimization through Context Knowledge
Creators: R. Borralho - University of Surrey, School of Computer Science and Electronic Engineering
D. Duarte
A. Quddus - University of Surrey, School of Computer Science and Electronic Engineering
P. Vieira
Publication Details: Proceedings of The 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC2020)
Conference: The 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC2020) (Virtual, Online, 19/10/2020 - 26/10/2020)
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Number of pages: 1-6
Date published: 19/10/2020
Date submitted: 01/10/2020
Grant note: The authors would like to thank “Instituto de Telecomunicac¸oes” (IT) and CELFINET for financing the work developed in this paper, as well as the “Programa Operacional Competitividade e Internacionalizac¸ao” ˜(COMPETE) 2020 for supporting the project GARMIO (POCI-01-0247-FEDER-033479), financed by the “Fundo Europeu de Desenvolvimento Regional” (FEDER).
Identifiers: 99511163202346
Copyright: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Academic Unit: School of Computer Science and Electronic Engineering
Resource Type: Conference presentation

Developing a LTE Localization Framework using Real Network Data towards RAN Optimization through Context Knowledge

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