Experimental Study on LTE Mobile Network Performance Parameters for Controlled Drone Flights.

LTE downlink drone mobile network ping reference signal received power reference signal received quality signal to interference and noise ratio unmanned aerial vehicle uplink

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
14 Oct 2024
Historique:
received: 23 08 2024
revised: 10 10 2024
accepted: 12 10 2024
medline: 26 10 2024
pubmed: 26 10 2024
entrez: 26 10 2024
Statut: epublish

Résumé

This paper analyzes the quantitative quality parameters of a mobile communication network in a controlled drone logistic use-case scenario. Based on the analysis of standards and recommendations, the values of key performance indicators (KPIs) are set. As the main network-impacting parameters, reference signal received power (RSRP), reference signal received quality (RSRQ), and signal to interference and noise ratio (SINR) were selected. Uplink (UL), downlink (DL), and ping parameters were chosen as the secondary ones, as they indicate the quality of the link depending on primary parameters. The analysis is based on experimental measurements performed using a Latvian mobile operator's "LMT" JSC infrastructure in a real-life scenario. To evaluate the altitude impact on the selected network parameters, the measurements were performed using a drone as transport for the following altitude values: 40, 60, 90, and 110 m. Network parameter measurements were implemented in automatic mode, allowing switching between LTE4-LTE2 standards, providing the opportunity for more complex analysis. Based on the analysis made, the recommendations for the future mobile networks employed in controlled drone flights should correspond to the following KPI and their values: -100 dBm for RSRP, -16 dB for RSRQ, -5 dB for SINR, 4096 kbps for downlink, 4096 kbps for uplink, and 50 ms for ping. Lastly, recommendations for a network coverage digital twin (DT) model with integrated KPIs are also provided.

Identifiants

pubmed: 39460095
pii: s24206615
doi: 10.3390/s24206615
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : ECSEL Joint Undertaking
ID : 826610
Organisme : European Regional Development Fund
ID : 1.1.1.3/18/A/001 (PVS 3912.6.2)
Organisme : National Research Program
ID : VPP-EM-FOTONIKA2022/1-0001
Organisme : Connecting Europe Facility Digital program
ID : 101133716

Auteurs

Janis Braunfelds (J)

Institute of Photonics, Electronics and Telecommunications, Riga Technical University, LV-1048 Riga, Latvia.

Gints Jakovels (G)

Ventures Department, Latvijas Mobilais Telefons SIA, LV-1026 Riga, Latvia.

Ints Murans (I)

Institute of Photonics, Electronics and Telecommunications, Riga Technical University, LV-1048 Riga, Latvia.

Anna Litvinenko (A)

Institute of Photonics, Electronics and Telecommunications, Riga Technical University, LV-1048 Riga, Latvia.

Ugis Senkans (U)

Institute of Photonics, Electronics and Telecommunications, Riga Technical University, LV-1048 Riga, Latvia.

Rudolfs Rumba (R)

Institute of Applied Computer Systems, Riga Technical University, LV-1048 Riga, Latvia.

Andis Onzuls (A)

Technical Department, Latvijas Mobilais Telefons SIA, LV-1026 Riga, Latvia.

Guntis Valters (G)

Ventures Department, Latvijas Mobilais Telefons SIA, LV-1026 Riga, Latvia.

Elina Lidere (E)

Institute of Information Technology, Riga Technical University, LV-1026 Riga, Latvia.
Marketing Communication Department, Latvijas Mobilais Telefons SIA, LV-1026 Riga, Latvia.

Evija Plone (E)

Ventures Department, Latvijas Mobilais Telefons SIA, LV-1026 Riga, Latvia.

Classifications MeSH