A novel localization C# framework for RAN optimization using extreme programming methodologies

Borralho, Ruben; Ferreira, Simone Bacellar Leal; Vieira, Pedro; Queluz, Maria Paula; Rodrigues, António

doi:10.1109/wpmc.2017.8301867

Cited by 1 publication

(1 citation statement)

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“…Similar to what happens for the Third Generation (3G) networks [3] with the Ericsson GPEHs, the Cell Trace is a file in the original format (.bin) collected directly from the mobile operator Operations Support System (OSS), i.e., from the live network. This file contains all the signalling exchanged between the end-users and the network.…”

Section: A the Ericsson's Cell Tracementioning

confidence: 99%

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

Borralho

Duarte

Quddus

et al. 2020

2020 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC)

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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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Section: A the Ericsson's Cell Tracementioning

confidence: 99%