Implementation of Platform for Measurement and Analysis on LTE Traffic and Radio Resource Utilization

Um, Jungsun; Kim, Igor; Park, Seungkeun

doi:10.1109/icce.2019.8661948

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…In this paper, we introduce a platform called ALTETRI (Analyzer of LTE Traffic and Radio Information) that can gather scheduling information from all downlink control information (DCI) transmitted from an LTE base station denoted as eNodeB (eNB) [26]. Because the element fields in the DCI of LTE include the resource allocation information, traffic amount, and data transmission methods, it is possible to analyze the state of traffic and resource utilization of LTE networks if we can make use of a dataset of DCI.…”

Section: Introductionmentioning

confidence: 99%

Implementation of platform for long‐term evolution cell perspective resource utilization analysis

2020

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As wireless communication continues to develop in limited frequency resource environments, it is becoming important to identify the state of spectrum utilization and predict the amount needed in future. It is essential to collect reliable information for data analysis. This paper introduces a platform that enables the gathering of the scheduling information of a long-term evolution (LTE) cellular system without connecting to the network. A typical LTE terminal can confirm its assigned resource information using the configuration parameters delivered from a network. However, our platform receives and captures only the LTE signal over the air and then enables the estimation of the data relevant to scheduling for all terminals within an LTE cell.After extracting the control channel signal without loss from all LTE subframes, it detects valid downlink control information using the proposed algorithm, which is based on the error vector magnitude of depatterned symbols. We verify the reliability of the developed platform by comparing it with real data from mobile phones and service operators. The average difference in resource block utilization is only 0.28%.

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Section: Introductionmentioning

confidence: 99%

Implementation of platform for long‐term evolution cell perspective resource utilization analysis

2020

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“…Besides expensive commercial tools with specialized hardware [7] and proprietary software solutions [8], there are also some open-source attempts based on Software-Defined Radios (SDRs). These are LTEye [9], Online Watcher for LTE (OWL) [10], and our previous work for Client-based Control Channel Analysis for Connectivity Estimation (C 3 ACE) [11], which are all described in more detail in the following section.…”

Section: Introduction and Related Workmentioning

confidence: 99%

FALCON: An Accurate Real-Time Monitor for Client-Based Mobile Network Data Analytics

Falkenberg

Wietfeld

2019

2019 IEEE Global Communications Conference (GLOBECOM)

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Network data analysis is the fundamental basis for the development of methods to increase service quality in mobile networks. This requires accurate data of the current load in the network. The control channel analysis is a way to monitor the resource allocations and the throughput of all active subscribers in a public mobile radio cell. Previous open-source approaches require either ideal radio conditions or long-term observations in order to obtain reliable data. Otherwise, the revealed information is polluted by spurious assignments with random content. In this paper, we present a new open-source instrument for Fast Analysis of LTE Control channels (FALCON), which combines a novel shortcut-decoding approach with the most reliable techniques known to us to reduce the aforementioned requirements significantly. Long-term field measurements reveal that FALCON reduces errors in average by three orders of magnitude compared to currently the best approach. FALCON allows observations at locations with interference and enables mobile applications with single short-term tracking of the local load situation. It is compatible with numerous software defined radios and can be used on standard computers for a reliable real-time analysis.

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SDR-based 5G NR Control Channel Analysis Equipment for Network Monitoring

Kim

Park

2020

2020 International Conference on Information and Communication Technology Convergence (ICTC)

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Implementation of Platform for Measurement and Analysis on LTE Traffic and Radio Resource Utilization

Cited by 6 publications

References 3 publications

Implementation of platform for long‐term evolution cell perspective resource utilization analysis

Implementation of platform for long‐term evolution cell perspective resource utilization analysis

FALCON: An Accurate Real-Time Monitor for Client-Based Mobile Network Data Analytics

SDR-based 5G NR Control Channel Analysis Equipment for Network Monitoring

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