No full-text available
To read the full-text of this research,
you can request a copy directly from the authors.
Correlational Analysis in QoS Parameter Assessment for 5G Emerging Networks in Poland
The development of new telecommunication services requires the implementation of advanced technologies and the next generations of networks. Currently, the Long-Term Evolution (LTE) is a widely used standard. On the other hand, more and more mobile network operators (MNOs) are implementing the fifth-generation (5G) New Radio standard in their networks. It allows for increasing throughput, spectral, and energy efficiency and maximizing coverage, while reducing latency. The effectiveness of the introduced changes is measured by assessing the quality of service (QoS) in mobile networks. The paper presents the result evaluation of the QoS measurement campaign carried out using the drive test method in an urban area for four MNOs. We analyze the data transmission scenario, which is the basis of most modern telecommunications services. The result comparison provides an assessment of the 5G service implementation advancement by MNOs. In this analysis, we consider many QoS metrics (e.g., session time, throughput, and round-trip time) and parameters defining the radio signal quality (i.e., reference signal received power, signal-to-interference-plus-noise ratio). Our work also included searching for relationships between these parameters, using a correlation analysis. It allows for the selection of uncorrelated parameters to assess the quality of network, i.e., MNO evaluation, in terms of the provided QoS.
Quality of service (QoS) assessment is one of the basic processes carried out by mobile network operators (MNOs) and regulators of the telecommunications market. Usually, professional companies carry out measurements for various country areas and use cases (scenarios). In this paper, we show exemplary measurement results carried out in drive tests in the vicinity of the Polish capital by a professional company. The measurement campaign included two MNOs and three use cases, i.e., voice calls, video live streaming from YouTube, and web browsing. Various parameters of the received signals and QoS metrics were recorded during the measurements, e.g., reference signal received power, signal-to-interference-plus-noise ratio, mean opinion score (MOS), video MOS, and throughput. One of the MNOs provides services using Universal Mobile Telecommunications Service (UMTS) and Long-Term Evolution (LTE) technologies, while another is based only on LTE technology. The presented results show that higher QoS metrics were obtained for the LTE network than one using UMTS/LTE technologies.
Modern mobile networks provide access to a variety of services. On the one hand, mobile network operators (MNOs) are required to ensure adequate network coverage, on the other hand, the provided services should be performed at an appropriate level. Introducing the assessment and management system quality of service (QoS) is designed to fulfill the second task. In this paper, we present a correlation analysis of QoS metrics and radio signal parameters for a web browsing scenario. This research is based on the measurement campaign carried out in the vicinity of Warsaw, the Polish capital. The measurements were carried out for two MNOs by a professional company that deals with QoS assessment in mobile networks. One of the MNOs provides services using Universal Mobile Telecommunications Service (UMTS) and Long-Term Evolution (LTE) technologies, while another is based only on LTE technology. For calculations, we used the Pearson correlation coefficient and linear regression. The obtained results indicate which of the analyzed metrics are characterized by a strong, medium, and weak correlation.
Measurement and analysis of the QoS/QoE parameters of the 5G network are of great importance for telecommunications operators, telecommunications market regulators, and end users of networks. The assessment of the preparation of the network infrastructure and cellular systems for the provision of 5G services has become particularly important. METIS II project defined the functional requirements for each of the five service use case scenarios. Benchmark measurements of cellular networks operating in the same area using drive tests make it possible to estimate the key performance indicators (KPI) value for every use case scenario. They also provide data to calculate each use case’s aggregated values and thus compare the network in terms of readiness for 5G services. The paper aims to present the concept of using the Wroclaw Taxonomy method to assess the QoS of the network and to determine an aggregated measure characterizing the mobile network for readiness for 5G services.
The development of mobile networks is directly related to developing the telecommunications services market. Introducing new services requires adjusting methods of quality of service (QoS) assessment and management. QoS control measurements in mobile networks are a standard practice carried out by specialized companies for mobile network operators and regulators of the telecommunications market. In this paper, we analyze a selected measurement scenario for a suburban environment in which QoS was evaluated for video transmission from the YouTube service. The Systemics-PAB Group company carried out the measurements for the Polish regulator, the Office of Electronic Communications. The obtained measurement results are the basis for the correlation analysis between the QoS parameters. The analysis results show a strong relationship between the selected parameters, which can be used in modeling and simulation studies.
Service selection is an important research problem in distributed service-based systems, which aims to select proper services to meet user requirements. A number of service selection approaches has been proposed in recent years. Most of them, however, overlook quality-of-service (QoS) correlations, which broadly exist in distributed service-based systems. The concept of QoS correlations involves two aspects: 1) QoS correlations among services and 2) QoS correlations of user requirements. The first aspect means that some QoS attributes of service not only depend on the service itself but also have correlations with other services, e.g., buying service 1 and then getting service 2 with half price. The second aspect means the relationships among QoS attributes of user requirements, e.g., a user can accept a service with fast response time and high service cost or the user can also accept a service with slow response time and low service cost (Fig. fig:requirementLine). These correlations significantly affect user selection of services. Currently, only a few existing approaches have considered QoS correlations among services, i.e., the first aspect, but they still overlook QoS correlations of user requirements, i.e., the second aspect, which are also very important in distributed service-based systems. In this paper, a novel service selection approach is proposed, which not only considers QoS correlations of services but also accounts for QoS correlations of user requirements. This approach, to the best of our knowledge, is the first one which considers QoS correlations of user requirements. Also, this approach is decentralised which can avoid the single point of failure. The experimental results demonstrate the effectiveness of the proposed approach.
Benchmarking the Global 5G Experience - June 2022
- I Fogg
QoS evaluation of a 4 G and 5 G mobile network
- A Amal
- A Zairi
- M Louati