| 1. |
- Caso, Giuseppe, et al.
(författare)
-
An Initial Look into the Performance Evolution of 5G Non-Standalone Networks
- 2023
-
Ingår i: TMA 2023 - Proceedings of the 7th Network Traffic Measurement and Analysis Conference. - : Institute of Electrical and Electronics Engineers (IEEE). - 9798350325676 - 9783903176584 ; , s. 1-4
-
Konferensbidrag (refereegranskat)abstract
- Fifth Generation (5G) networks have been operational worldwide for a couple of years. To reveal how the 5G system evolution (e.g., changes in network conditions, deployment, and configurations) affects user performance, empirical long-term analyses are required. This paper presents preliminary insights from our ongoing large-scale measurement study of the commercial 5G non-standalone (NSA) networks deployed in Rome, Italy. An initial comparison between the measurements in 2020-2021 vs. 2023 shows a decrease in throughput and latency performance, calling for deeper analyses toward understanding the root causes and deriving proper optimization solutions.
|
|
| 2. |
|
|
| 3. |
- De Nardis, Luca, et al.
(författare)
-
Positioning by Multicell Fingerprinting in UrbanNB-IoT Networks
- 2023
-
Ingår i: Sensors. - : MDPI. - 1424-8220. ; 23:9
-
Tidskriftsartikel (refereegranskat)abstract
- Narrowband Internet of Things (NB-IoT) has quickly become a leading technology in the deployment of IoT systems and services, owing to its appealing features in terms of coverage and energy efficiency, as well as compatibility with existing mobile networks. Increasingly, IoT services and applications require location information to be paired with data collected by devices; NB-IoT still lacks, however, reliable positioning methods. Time-based techniques inherited from long-term evolution (LTE) are not yet widely available in existing networks and are expected to perform poorly on NB-IoT signals due to their narrow bandwidth. This investigation proposes a set of strategies for NB-IoT positioning based on fingerprinting that use coverage and radio information from multiple cells. The proposed strategies were evaluated on two large-scale datasets made available under an open-source license that include experimental data from multiple NB-IoT operators in two large cities: Oslo, Norway, and Rome, Italy. Results showed that the proposed strategies, using a combination of coverage and radio information from multiple cells, outperform current state-of-the-art approaches based on single cell fingerprinting, with a minimum average positioning error of about 20 m when using data for a single operator that was consistent across the two datasets vs. about 70 m for the current state-of-the-art approaches. The combination of data from multiple operators and data smoothing further improved positioning accuracy, leading to a minimum average positioning error below 15 m in both urban environments.
|
|
| 4. |
- Garcia, Johan, 1970-, et al.
(författare)
-
Multi-Timescale Evaluation of Starlink Throughput
- 2023
-
Ingår i: LEO-NET '23. - : ACM Digital Library. - 9798400703324 ; , s. 31-36
-
Konferensbidrag (refereegranskat)abstract
- Although Starlink has been rolled-out for several years, there is still a lack of knowledge regarding system details and performance characteristics. To address this, we perform a network layer measurement campaign utilizing precise times-Tamping to analyze throughput variations at multiple time scales, and infer system timing details. On larger timescales we quantify the diurnal variations where the throughput varies with the time of day. On the medium timescales we establish the likely frequency allocation and beam switching period to be 15 seconds. The associated connectivity disturbances contribute to severe link underutilization for single long-lived TCP flows, which typically reach only 46% of the estimated link capacity. On the sub-millisecond timescale our network layer measurements corroborate recent physical layer investigations of the Starlink frame timing, which is confirmed to be 1.33 ms. © 2023 Owner/Author(s).
|
|
| 5. |
- Kousias, Konstantinos, et al.
(författare)
-
A Large-Scale Dataset of 4G, NB-IoT, and 5G Non-Standalone Network Measurements
- 2023
-
Ingår i: IEEE Communications Magazine. - : IEEE. - 0163-6804 .- 1558-1896.
-
Tidskriftsartikel (refereegranskat)abstract
- Mobile networks are highly complex systems. Therefore, it is crucial to examine them from an empirical perspective to better understand how network features affect performance, so to suggest additional improvements. To this aim, this paper presents a large-scale dataset of measurements collected over fourth generation (4G) and fifth generation (5G) operational networks, providing Long Term Evolution (LTE), Narrowband Internet of Things (NB-IoT), and 5G New Radio (NR) connectivity. We collected our dataset during seven weeks in Rome, Italy, by performing several tests on the infrastructures of two major mobile network operators (MNOs). The open-sourced dataset has enabled multi-faceted analyses of network deployment, coverage, and end-user performance, and can be further used for designing and testing artificial intelligence (AI) and machine learning (ML) solutions for network optimization.
|
|
| 6. |
- Parastar, Paniz, et al.
(författare)
-
Spotlight on 5G : Performance, device evolution and challenges from a mobile operator perspective
- 2023
-
Ingår i: IEEE INFOCOM 2023. - New York : Institute of Electrical and Electronics Engineers Inc.. - 9798350334142 ; , s. 1-10
-
Konferensbidrag (refereegranskat)abstract
- Fifth Generation (5G) has been acknowledged as a significant shift in cellular networks, expected to run significantly different classes of services and do so with outstanding performance in terms of low latency, high capacity, and extreme reliability. Managing the resulting complexity of mobile network architectures will depend on making efficient decisions at all network levels based on end-user requirements. However, to achieve this, it is critical to first understand the current mobile ecosystem and capture the device heterogeneity, which is one of the major challenges for ensuring the successful exploitation of 5G technologies.In this paper, we conduct a large-scale measurement study of a commercial mobile operator in the UK, focusing on bringing forward a real-world view on the available network resources, as well as how more than 30M end-user devices utilize the mobile network. We focus on the current status of the 5G Non-Standalone (NSA) deployment and the network-level performance and show how it caters to the prominent use cases that 5G promises to support. Finally, we demonstrate that a fine-granular set of requirements is, in fact, necessary to orchestrate the service to the diverse groups of 5G devices, some of which operate in permanent roaming.
|
|
| 7. |
- Rajiullah, Mohammad, 1981-, et al.
(författare)
-
CARL-W : a Testbed for Empirical Analyses of 5G and Starlink Performance
- 2023
-
Ingår i: 5G-MeMU '23. - : Association for Computing Machinery (ACM). - 9798400703010 ; , s. 1-7
-
Konferensbidrag (refereegranskat)abstract
- The deployment of 5G networks, including 5G Non-Public Networks (5G-NPNs) for private use in several verticals, is rapidly taking place worldwide. However, deploying these networks in under-served areas, where there may be limited Internet access or wired backhauling capabilities, presents challenges. To address these challenges, there is a growing interest in using Low Earth Orbit (LEO) satellites, such as SpaceX's Starlink, which can provide high-throughput and low-latency Internet access via dense satellite constellations.In this paper, we present CARL-W, the Wireless module of the Communications Advanced Research Laboratory (CARL) at Karlstad University, which combines a 5G-NPN and a Starlink deployment. CARL-W serves as a platform for empirical analyses on both systems, thus contributing to the study of their possible integration. In particular, we outline the CARL-W experimentation framework and provide access to the CARL-W visualization and data exporting platform. We also open-source a 1-month Starlink dataset, facilitating further analyses of this relatively new technology.
|
|
