Network Quality Research Articles

Mobile Network Operators’ Assessment Based on Drive-Test Campaign in Urban Area for iPerf Scenario

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.

The research on power quality management technology of station area based on distributed photovoltaic scale access

The intermittency, randomness and fluctuation of low voltage distributed photovoltaic power generation bring problems such as overvoltage, harmonic overlimit and reverse overload to rural distribution network, which seriously affect the power supply quality of low voltage distribution network. This paper mainly analyzes the power quality problems caused by large-scale distributed photovoltaic connected to rural distribution network, such as terminal overvoltage, transformer reverse overload, harmonic overlimit, and three phase unbalance. The power quality management strategy of low voltage station area based on distributed energy storage system is proposed, and the power quality management business module of low voltage station area is built based on the power information acquisition system to verify the reliability of the power quality management strategy of low voltage station area. The application effect of distributed energy storage system in controlling overvoltage, reverse overload and harmonic overlimit in low voltage station is verified through pilot construction.

Association of sleep quality and use of social networks by adolescents

Association of sleep quality and use of social networks by adolescents

서울시 공공 WIFI를 대상으로 개인정보취득이 불가능한 무료통신망의 품질 향상 방안

서울시 공공 WIFI를 대상으로 개인정보취득이 불가능한 무료통신망의 품질 향상 방안

Optimizing throughput value through re-examining of 4G LTE infrastructure link budgets: A Case Study in Lubuk Kilangan

Broadband wireless access technology has taken the lead in communication technology development, enabling users to communicate with fast data speeds and extensive coverage.. Problems that frequently arise in mobile communication systems are the wide range of services and the level of network service quality. Thus, optimization is carried out to improve network quality in the Lubuk Kilangan area by using the drive test method to determine the quality of the network and bad spot areas and analyzed using terms discovery software. The reason behind the findings of this study is that the optimal link budget value for 4G LTE infrastructure in Lubuk Kilangan is higher than the current industry standard due to the unique characteristics of the area. According to the analysis and calculation of the link budget, power additions, and antenna tilting alterations were carried out for optimization. The power quality of the RSRP parameter increased from the fair (orange) area of 2.58 to 0.29. For the SINR parameter, For the SINR parameter, there was also an increase in quality at poor category locations in the KPI parameters (Range RSRP) locations from 0.08% to 0.05%, resulting in SINR bad spots decreasing. The proportion for Throughput after optimization remains the same, at 100%. Indicating that there had been a good increase in the coverage area, making the coverage in the Lubuk Kilangan area good. It is necessary to conduct a deeper study by comparing several types of antenna orientation, including tilt, depending on various factors such as the deployment scenario, coverage requirements, interference considerations, and the specific characteristics of picocells, femtocells, and repeaters. Future research could explore the impact of other factors, such as network topology and user behavior, on link budget optimization of 4G LTE infrastructure in different contexts

Machine Learning for Wireless Network Throughput Prediction

This paper analyzes a dataset containing radio frequency (RF) measurements and Key Performance Indicators (KPIs) captured at 1876.6MHz with a bandwidth of 10MHz from an operational 4G LTE network in Nigeria. The dataset includes metrics such as RSRP (Reference Signal Received Power), which measures the power level of reference signals; RSRQ (Reference Signal Received Quality), an indicator of signal quality that provides insight into the number of users sharing the same resources; RSSI (Received Signal Strength Indicator), which gauges the total received power in a bandwidth; SINR (Signal to Interference plus Noise Ratio), a measure of signal quality considering both interference and noise; and other KPIs, all derived from three evolved node base stations (eNodeBs). After meticulous data cleaning, a subset of measurements from one serving eNB, spanning a 20-minute duration, was selected for deeper analysis. The PDCP DL Throughput, as a vital KPI metric, plays a paramount role in evaluating network quality and resource allocation strategies. Leveraging the high granularity of the data, the primary aim was to predict throughput. For this purpose, I compared the predictive capabilities of two machine learning models: Linear Regression and Random Forest. Metrics such as Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE) were used to examine the models as they offer a comprehensive insight into the models’ accuracies. The comparative analysis highlighted the superior performance of the Random Forest model in predicting the PDCP DL Throughput. The insights derived from this research can potentially guide network engineers and data scientists in optimizing network performance, ensuring a seamless user experience. Furthermore, as the telecommunication industry advances towards the integration of 5G and beyond, the methodologies explored in this paper will be invaluable in addressing the increasingly complex challenges of future wireless networks.

Probabilistic and Harmonic Assessment of Power Quality Parameters from Distributed Energy Resources in a Distribution Network

Distributed energy resources (DERs) are leading actors in energy transition worldwide. Despite the environmental benefits, DERs are intermittent (consumption/generation power changes according to the input variables), and the use of power electronic devices affects the power quality in distribution networks. Typically, models and simulations (deterministic or probabilistic) are proposed to estimate such impacts. However, previous studies have analyzed the main effects caused by one or two DERs during a day. These studies had a reduced level of detail in the applied methodology in modeling and impact evaluation, or they did not consider that the harmonic distortion level depends on input variables. The aim of this article was to develop a probabilistic harmonic simulation approach to characterize the hourly effect of photovoltaic systems (PVS), battery energy storage systems, and electric vehicle charging stations in a 34-node IEEE test feeder. The individual and collective effect estimation of the DERs consists of the hourly quantification of the effective voltage value, voltage unbalance, power factor, and harmonic distortion, with data obtained using Python and PowerFactory co-simulation for 23 operation scenarios. These impacts were assessed through indicators proposed in the literature and hypothesis tests (inferential statistics). Each DER generally operates at a specific time, making it easy to identify the individual effects of network parameters. The PVS increased the effective voltage value and total harmonic distortion. However, electric vehicles and batteries increase the voltage unbalance and power factor due to the two-phase connection in some network nodes.

Current state and problems of reliability of power supply systems of electrical complexes of industrial enterprises

In accordance with the Energy Strategy of Russia until 2035 and the Decree of the Government of the Russian Federation "Improving the reliability and quality of power supply to consumers of electric energy through the introduction of new technologies and optimization of the activities of territorial grid organizations", the issues of improving the reliability of power supply of electrical complexes of industrial enterprises in a market economy are of particular importance.This article presents the results of a survey of managers and specialists of the services of the chief power engineer of industrial enterprises, representatives of design institutes, equipment manufacturers, university researchers on the existing problems of reliability of power supply systems of industrial enterprises. The expediency of substantiating the identification of the current situation by the main reliability indicators and their relationship in the existing economic conditions for calculating the reliability of power supply systems is substantiated. A comparative analysis of the responses of respondents of energy services is presented, their interpretation is given.The main problems in the following blocks are identified: the quality of the enterprise's energy supply and its reliability; the reliability of energy distribution within the enterprise and control of the influence of installed electrical equipment on the quality of the electrical network; knowledge regarding reliability and interest in carrying out such calculations. Recommendations are given on the identified problems, including the analysis of individual indicators of reliability of power supply to industrial enterprises.

Corrective Day-ahead Prediction of Solar Radiation based on Online Measurements

In recent years, reduction of greenhouse gas emissions has been a serious issue throughout the world. The Japanese Government aims to reduce 25% of the emissions in 1990 by 2020. Eco-cities which effectively use renewable energy sources attract an attention in order to attain this goal. A smart energy town project in Honjyo, Japan has been conducted by making use of renewable energy sources. Above all, photovoltaic (PV) generators are expected to play a key role in this project. In addition, PV generators are expected to be installed in the residential and commercial areas due to ease of its installation. However, unstable power output from PV generation causes negative impacts on power quality of distribution networks. Therefore, prediction of PV output is indispensable to operate networks properly. In this paper, we propose a method to predict a day-ahead solar radiation and output power of PV generation in specific areas. Furthermore, the predicted solar radiation is corrected using the on-line measured actual data. As a result, the correction of a day-ahead prediction proposed here reduces errors of daily solar radiation by around 34% .

Рекреационный потенциал речных бассейнов для развития сельского туризма в Актюбинской области

The aim of the research was to analyze the climate comfort and assess the recreational potential of river basins for the development of rural tourism in Aktobe Region, Kazakhstan. The ArcGIS 10.5 software was applied to conduct tourist and recreational studies in the target watersheds. Methodologically, the research included two stages. The first one comprised an overview of the available data on local hydrology, terrain (slope degrees), and climatic factors. The efforts allowed creating four thematic maps based on ArcGIS 10.5 SRTM (Shuttle Radar Topographical Mission) imagery of the basins in question. The second stage revealed the tourist and recreational efficiency of river massifs, specifically allowed evaluating the recreational use of rivers as per the proposed methodology. It was found that surface water bodies are not used effectively enough in rural tourism development in the region, i.e. that this type of touristic services has not yet progressed due to numerous issues hindering their spreading, including the underdeveloped social and engineering rural infrastructure, poor quality of road network and transport communications. All these lead to low attractiveness, diminish the effectiveness of rural ecology preservation measures, as well as complicate the organization and creation of proper tourist accommodations. To analyze the possibilities of rural tourism development in specific areas, a special tourist and recreational assessment was carried out within the framework of the research. According to climate index characteristics, the dynamics of the region’s climatic favorability was determined with the main conclusion that it is the poor infrastructure development in Aktobe Region settlements that prevents a full scale expansion of rural tourism in the target river basins

The Power Quality of the distribution networks and its impact on the Telecommunication Next Generation Access Network

The paper deals with the Power Quality of the electrical distribution network and its impact on the new telecommunication networks. In particular, in the frame of the deployment of the Next Generation Access Network (NGAN) in the Fiber To The Cabinet (FTTCab) architecture, the impact of severe voltage dips and micro interruptions on the most important Information and Communications Technology (ICT) devices has been evaluated experimentally by Telecom Italia, defining in particular a sort of customized voltage dips immunity area for its telecommunications network equipment (TLC). On the base of these experimental results RSE has performed statistical analyses on voltage dips occurring outside this area which could be responsible in theory for the telecommunication devices reboot. The analyses are based on the data provided by the MV distribution network monitoring system QuEEN in the assumption that MV dips could be totally transferred to the LV network where the telecommunication cabinets are connected. A short analysis of voltage dips propagation from the medium voltage MV to the low voltage LV networks has been performed, on a few measurements sites at disposal in order to confirm this assumption.

Effect of Numerous PV Inverters on Power Quality Connected to the Same LV Network in a Suburban Area

The number of the domestic power plants is increasing rapidly. Most of these are photovoltaic (PV) systems. It is worth examining the effects of the PV units on the network, because the spreading of these units is expected. This paper presents a solution how the effect of numerous photovoltaic inverters on the power quality can be simulated and examined if these are connected to the same low voltage (LV) network. The harmonic effect of domestic PV systems is discussed with the application of the so called Double Domain Simulation method. However the distribution network is modelled in the frequency domain, the PV systems are simulated in the time domain. The calculations are performed by different polluted upstream network configuration. Our goal was to build an adequate simulation environment and to examine the effect of numerous PV systems on the power quality of the LV network.

Persaingan Pemasaran Mengenai Kuliatas Produk Dan Jaringan Bisnis Pada Karsa Mahardika Nusantara

This article aims to determine marketing competition regarding product quality and business networks at Karsa Mahardika Nusantara. This research focuses on the marketing and quality of products and business networks that have been carried out by Karsa Mahardika Nusantara. Observation and interviews are data collection techniques in this research. Based on the results of this research analysis, it can be concluded that Karsa Mahardika Nusantara has done marketing well and is able to compete with similar competitors, even though they have to expand their marketing area, Karsa Mahardika Nusantara is confident in the quality and materials they have so that they continue to grow and develop well until now.

Distributed Energy Resources (DER) Systems Integration into MV and LV Networks - Impact on Power Quality of the System

The fast growing of Distributed Generation (DG) in European electricity networks, lead to challenges of different nature. Due the fast growth of market split of Distributed Energy Resources (DER), today’s electric power system of centrally located generation, transmission networks and distribution networks is expected to evolve into a new configuration. The achievement of such drastic transformation will heavily rely on studies that evaluate the behaviour of networks with integrated DER systems. In particular, Power Quality (PQ) has been given significative attention due to the fact that new power system applications are more and more sensitive to power quality disturbances. The aim of this study is to examine the power quality behaviour of the network in case of integration of DER units at different locations of the MV and LV system. In order to analyse the impact of DG on the network's power quality, a 380 kV transmission system with MV, and LV subsystems, 10 kV and 0.4 kV respectively is used, DER units are integrated and power quality analyses are performed.

Acceptance Analysis of Cyclops Application in Telkomsel Pamasuka Area Using Innovation Diffusion Theory (IDT) and Technology Acceptance Model (TAM)

Purpose: In this thesis, we will examine how much employee acceptance in the Pa Masuka Area, especially “Network” and “Sales', which totals around 522 people to the CYCLOPS application using the Innovation Diffusion Theory (IDT) and Technology Acceptance Model (TAM) methods, then an online survey is conducted.
 Research methodology: Data analysis was performed using a Structural Equation Modeling (SEM) model.
 Results: Digitization of processes at Telkomsel continues to be carried out to increase the effectiveness of employee work, including in the Pausuka Area, especially in the Area Network Operations Sub-Directorate of Pausuka which is responsible for 18,000 sites serving 30 million customers based on April 2023 data.CYCLOPS is a supporting application for digitizing processes that makes it easier for employees, especially the "Network" and "Sales" sections, to observe network conditions (Live Monitoring), find out the potential for network development, make improvements that are right on target according to set priorities to carry out network quality tests.

Should we really use graph neural networks for transcriptomic prediction?

The recent development of deep learning methods have undoubtedly led to great improvement in various machine learning tasks, especially in prediction tasks. This type of methods have also been adapted to answer various problems in bioinformatics, including automatic genome annotation, artificial genome generation or phenotype prediction. In particular, a specific type of deep learning method, called graph neural network (GNN) has repeatedly been reported as a good candidate to predict phenotypes from gene expression because its ability to embed information on gene regulation or co-expression through the use of a gene network. However, up to date, no complete and reproducible benchmark has ever been performed to analyze the trade-off between cost and benefit of this approach compared to more standard (and simpler) machine learning methods. In this article, we provide such a benchmark, based on clear and comparable policies to evaluate the different methods on several datasets. Our conclusion is that GNN rarely provides a real improvement in prediction performance, especially when compared to the computation effort required by the methods. Our findings on a limited but controlled simulated dataset shows that this could be explained by the limited quality or predictive power of the input biological gene network itself.

Distributed Data-Driven Learning-Based Optimal Dynamic Resource Allocation for Multi-RIS-Assisted Multi-User Ad-Hoc Network

This study investigates the problem of decentralized dynamic resource allocation optimization for ad-hoc network communication with the support of reconfigurable intelligent surfaces (RIS), leveraging a reinforcement learning framework. In the present context of cellular networks, device-to-device (D2D) communication stands out as a promising technique to enhance the spectrum efficiency. Simultaneously, RIS have gained considerable attention due to their ability to enhance the quality of dynamic wireless networks by maximizing the spectrum efficiency without increasing the power consumption. However, prevalent centralized D2D transmission schemes require global information, leading to a significant signaling overhead. Conversely, existing distributed schemes, while avoiding the need for global information, often demand frequent information exchange among D2D users, falling short of achieving global optimization. This paper introduces a framework comprising an outer loop and inner loop. In the outer loop, decentralized dynamic resource allocation optimization has been developed for self-organizing network communication aided by RIS. This is accomplished through the application of a multi-player multi-armed bandit approach, completing strategies for RIS and resource block selection. Notably, these strategies operate without requiring signal interaction during execution. Meanwhile, in the inner loop, the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm has been adopted for cooperative learning with neural networks (NNs) to obtain optimal transmit power control and RIS phase shift control for multiple users, with a specified RIS and resource block selection policy from the outer loop. Through the utilization of optimization theory, distributed optimal resource allocation can be attained as the outer and inner reinforcement learning algorithms converge over time. Finally, a series of numerical simulations are presented to validate and illustrate the effectiveness of the proposed scheme.

Taktik Komunikasi Efektif dalam Kampanye Lingkungan : Peran Humas dalam Kesadaran dan Aksi Bersama

In contemporary environmental discourse, the role of Integrated Marketing Communication (IMC) and collaborative efforts between Public Relations (PR) practitioners and environmental experts hold significant relevance. This study explores the pivotal role of communication strategies in environmental campaigns and the collaborative mechanisms between PR and environmental specialists within various organizational contexts. Estaswara (2000) underscores the strategic necessity of integrated communication in marketing, emphasizing its transformation from a mere promotional tool to a strategic business process. The findings highlight the insufficiency of environmental awareness alone in inciting tangible action. Discussions center around designing campaign messages to effectively drive concrete and sustainable behavioral changes. Collaboration between PR and environmental experts is articulated through several methods. Firstly, monitoring emissions involves joint efforts to develop and manage emission monitoring systems like Continuous Industrial Emission Monitoring Information System (CISPEK) and Continuous and Networked Effluent Water Quality Monitoring System (SPARING). Secondly, Performance Rating Program for Environmental Performance (PROPER) is used by PR to establish cooperation and enhance public trust in environmental management. Thirdly, effective communication and community engagement leverage social media and communal activities to disseminate information and amalgamate feedback from the public. The jurnal asserts the vital role of PR in fostering public participation, guiding communities on critical issues, and encouraging their contribution to sustainable development. By providing pertinent explanations, PR elevates societal awareness regarding crucial issues like environmental sustainability, climate change, and public health, stimulating active involvement in sustainable development endeavors..

Social network type contributes to purpose in life among older people, mediated by social support

A sense of Purpose in Life is an important aspect of ageing well which is related to older adult’s social relationships. Social network types and the different sources of support they provide are theorized here as a pathway to maintaining a sense of purpose as we age. The study utilized a population sample from the 2016 and 2020 NZ Health, Work, and Retirement (NZHWR) longitudinal survey waves; N = 2869 (mean age of 65.82 years (SD = 6.40). A structural equation model investigated the relationship between Social Network Type and Purpose in Life and the mediating role of Social Support. The final model had a good fit to the data and explained 33.7% of the variance in Purpose in Life. Private, Self-Contained and Family Dependent network types (2016) were negatively related to Purpose in Life 4 years later (2020). Support from sense of Attachment, Reassurance of Worth, Reliable Alliance and Social Integration played a mediating role between Social Network type and Purpose in Life. These findings highlight the importance of social networks in maintaining a sense of purpose among older adults and highlight pathways for the types of networks, and kinds of social support they offer, which contribute to a sense of purpose in life. They underscore the importance of social support for the well-being of older adults and highlight the need to consider the quality and type of social networks and support they provide, when designing interventions to enhance well-being.

Wind energy integration into 380 kV system-impact on power quality of MV and LV networks

The amount of electrical energy produced by wind mills is constantly increasing. Nowadays detailed analyses considering the impact of wind energy integration on the transmission system are required. The goal of this study is to examine the power quality behavior of the network in case of integration of different amounts of wind energy at different locations of the 380 kV transmission system. In order to analyse the impact of wind energy integration on the network's power quality, a 380 kV transmission system with MV, and LV subsystems is modeled, integrated wind farms are used and power quality analyses are performed