Mobile Network Quality Research Articles

On studying active radio measurements estimating the mobile network quality of service for the Regulatory Authority's purposes

The Regulatory Authority monitors and regulates the telecom market at a national-wide range. One of its main tasks is to put spectrum at the disposal of the Mobile Network Operators (MNOs) for serving the increasing number of users and services. Another task of the Regulator is to demand a minimum quality of service to the network infrastructure. For this scope, the Regulator needs to have an independent estimation of the quality of service of the mobile network. This paper presents a methodology for Regulator-triggered monitoring of 5G radio resources and estimation of the maximum throughput offered to the end users. The requirements of the methodology are: (1) monitoring measurements must be external to the network, (2) all information needed for Quality of Service (QoS) estimation may be obtained only through active measurements in the network, and (3) the number of measurements should be as low as possible (for cost-saving) while offering statistical significance. The presented spot measurements validate the methodology and show the boundary use cases where the methodology would overestimate the transmission quality.

Impact of Mobile Service Quality, Perceived Value, Perceived Usefulness, Perceived Ease of Use, Customer Satisfaction Towards Continuance Intention to Use MyTelkomsel App

The community's high level of mobility has sped up mobile application development. Businesses from various industries raced to create their applications because it boosts brand loyalty and customer relationship, increasing revenue for the company. As the fifth-largest nation with a mobile application market share in 2021, Indonesia represents a sizable potential market in the next years. Telkomsel has capitalized on this potential by creating its mobile purchasing app, MyTelkomsel. The app has received 100 million downloads on Google Play Store and a 4.5-star rating. However, given that MyTelkomsel had a decline in monthly active users (MAU), falling to the 28th position in 2023, it is unclear whether it can keep its customers' intention to continue using the service. This study analyzes the conceptual model created by earlier related literature and identifies the factors that have a major impact on consumers' intentions to continue using MyTelkomsel. Customers of MyTelkomsel are the subjects of qualitative semi-structured interviews and quantitative surveys as part of this study. The interview findings were examined using open coding, while the questionnaire results were analyzed using PLS-SEM. According to the findings, Perceived Value, Perceived Usefulness, Perceived Ease of Use, and Customer Satisfaction positively impact Continuance Intention to Use. Service Content Quality and Customer Service Quality positively impact perceived Value and Customer Satisfaction. However, it has been demonstrated that Mobile Network Quality has no appreciable impact on Perceived Value. These results should help inform the development of stronger strategies for mobile app retention in the telecommunications sector or other relevant businesses in Indonesia. Future research is anticipated to include more factors, samples, and a wider scope due to research limitations better to explain the continual use intention of telecommunication apps.

Video characteristics for remote recognition of agonal respiration: A pilot study

AimThe mobile network quality in ambulances can be variable and limited. This pilot study aimed to identify a suitable network setting for recognizing agonal respiration under limited network conditions. MethodsWe recruited five emergency medical technicians, and each participant viewed 30 real-life videos with different resolutions, frame rates, and network scenarios. Thereafter, they reported the respiration pattern of the patient and identified agonal respiration cases. The time at which agonal respiration was identified was also recorded. The answers provided by the five participants were compared with those of two emergency physicians to compare the accuracy and time delay in breathing pattern recognition. ResultsThe overall accuracy for initial respiratory pattern recognition was 80.7% (121/150). The accuracy for normal breathing was 93.3% (28/30), for not breathing was 96% (48/50), and for agonal breathing was 64.3% (45/70). There was no significant difference in successful recognition between video resolutions. However, the rate of time delay in recognizing agonal respiration less than 10 seconds between 15-fps group and 30-fps group had statistical significance (21% vs 52%, p = 0.041). ConclusionThe frame rate emerges as one of critical factors in agonal respiration recognition through telemedicine, outweighing the significance of video resolution.

Channel state information estimation for reconfigurable intelligent surfaces based on received signal analysis

<p>Recently, reconfigurable intelligent surfaces have an increasing role to enhance the coverage and quality of mobile networks especially when the received signal level is very weak because of obstacles and random fluctuation. This motivates the researchers to add more contributions to the fields of reconfigurable intelligent surfaces (RIS) in wireless communications. A substantial issue in reconfigurable intelligent surfaces is the huge overhead for channel state information estimation which limits the system’s performance, oppressively. In this work, a newly proposed method is to estimate the angle of arrival and path loss at the RIS side and then send short information to the base station rather than huge overhead as in previous research. The estimated channel state information is used to beamform the downlink waveform toward users accurately. The simulation results indicate that the proposed algorithm calculated the angle of arrival of users, admirably especially at a high signal-to-noise ratio. Moreover, a considerable spectral efficiency enhancement is obtained as compared to the traditional methods.</p>

Why would telecom customers continue to use mobile value-added services?

This study seeks to explain why telecom customers would continue to use mobile value-added services (MVAS), including information, communication, entertainment, and transaction services. We developed a model based on the S-O-R paradigm and existing research on MVAS and mobile service quality, in which we hypothesize that customers' intention to continue using MVAS as a behavioural response (R) is a direct result of their satisfaction with the services and their perception of its value as affective and cognitive states (O), respectively. The developed model also recognizes the importance of mobile service quality (S) in terms of characteristics and features in developing customer satisfaction and perceived value. In this investigation, mobile service quality aspects: customer service, service content, and mobile network quality are utilized as stimuli. The data was collected from 371 respondents utilizing an online survey instrument. PLS-SEM with SmartPLS3 software was used for data analysis. While both customer satisfaction and perceived value have direct positive influences on continuance usage intention, the customer satisfaction effect is more significant, according to the structural findings. Moreover, customer service quality, service content quality, and mobile network quality were all discovered to be direct predictors of perceived value. In contrast, mobile network quality was not revealed to be a significant predictor of customer satisfaction. This paper is one of the few investigating the major factors contributing to the continued use of MVAS in the Arab world. This work adds to the growing knowledge on post-adoption in mobile services and business. This investigation provides crucial suggestions for decision-makers in the mobile telecommunications industry from a practical standpoint.

Mobile Network Coverage Prediction Based on Supervised Machine Learning Algorithms

The need for wider coverage and high-performance quality of mobile networks is critical due to the maturity of Internet penetration in today&#x2019;s society. One of the primary drivers of this demand is the dramatic shift toward digitalization due to the Covid-19 pandemic impact. Meanwhile, the emergence of the 5G wireless standard and the increasingly complex actual operating environment of mobile networks make the traditional prediction model less reliable. With the recent advancements and promising capabilities of machine learning (ML), it is seen as an alternative to the traditional approaches for ground to ground (G2G) mobile communication coverage prediction. In this study, various ML models have been tested and evaluated to develop an ML-based received signal strength prediction model for mobile networks. However, the challenge is to identify a practical ML model that can fulfill the computing speed criteria while still meeting the prediction accuracy. A total of six categories of ML models, namely Linear Regression (LR), Artificial Neural Network (ANN), Support Vector Machine (SVM), Regression Trees (RT), Ensembles of Trees (ET), and Gaussian Process Regression (GPR) that consists of more than 20 types of established algorithms/kernels have been tested and evaluated in this paper to identify the best contender among them, in terms of speed and accuracy. Findings from the evaluation showed that the GPR model is the most accurate model for Reference Signal Received Power (RSRP) prediction in terms of <inline-formula> <tex-math notation="LaTeX">$RMSE$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula>, followed by ET, RT, SVM, ANN and LR. Nevertheless, prediction speed and model training times are also important factors in determining the most practical model for RSRP prediction for several real-world mobile network planning applications. Finally, the ET model with Random Forest (RF) algorithm has been selected and highly recommended as the most practically employed ML model for developing rigorous RSRP predictions model in multi-frequency bands and multi-environment. The developed prediction model is capable of being utilized for the network analysis and optimization.

Performance analysis of service users’ perception of mobile network quality in the learning settings

This paper aims to provide information about the mobile network operators as presented by the users. The research tool used is a questionnaire that was distributed physically as well as online using google forms. One hundred fifty (150) questionnaires were distributed, and 101 recovered. There were 50 respondents online. The results obtained about the number of subscribers per Mobile Network Operator (MNO) reflects the data published by the Nigeria Communication Commission (NCC), this by interpretation, proves the validity of the research data.

The Impact of Sponsorship on Brand Equity of Cellular Networks in Hyderabad Pakistan

Wireless and mobile networks are quickly becoming the consequential type of network access for telecommunication services and with the emergence of modern technologies the number of users has also increased numerously. Similarly, In Pakistan advance facilitating promotions and improved service quality of mobile networks have enormously raised 161.24 million users of mobile networks till july-2019. Due to the innovative advancement and Hi-tech competition in the market the networks use different strategies to retain and sustain the brand equity such as, Linking the brand with an event via sponsorship enables companies to reach consumers’ interest and attention by associating with the events that hold great importance to them. This research article is based on determining the effect of sponsorship on the components of brand equity such as brand loyalty, brand awareness and perceived quality. The methodology adopted for this using a survey questionnaire based on 5-likert scale, and the primary data collection source was sample of 160 respondents. The reliability and regression analysis were used to determine the effects of sponsorships. The results of the reliability shows that the Cronbach’s Alpha lies in the range of good and excellent, Furthermore, it indicate that the sponsorship have positive and significant impact on brand awareness, brand loyalty and perceived quality. Therefore, Managers need to increase the use of sponsorship as a tool, for effective marketing communication, sponsor events for which their customers are emotionally connected and use its attention for their brand and build strong brand equity. In a highly competitive environment, sponsorship activities can help telecom companies attain a completive edge over others.

Hizmet kalitesi değerlendirmesi: Türkiye'deki mobil ağ operatörlerinin optimizasyon performansı üzerine bir çalışması

Her mobil ağın performansını korumak ve iyileştirmek için kontrol altında olması önemlidir. Optimizasyon, temel olarak istatistik verilerini ayrıntılı olarak inceleyerek ve sürüş testi sonuçlarını elde ederek/analiz ederek ağı izlemenin en etkili yoludur. Bu durum, ağın büyümesini ve ağın kapasitesinin gelişmesini mümkün kılar, mobil ağın işletme ve bakım ünitesindeki sorunlar hızla çözülür. Optimizasyonun başarılı olması için aşağıdakiler gereklidir: Çağrı başarısızlığının ana nedenlerini belirlemek ve analiz etmek, bir aramadan önce dijital ve RF verilerini anlamak. Optimizasyon, ağdaki spektrumu etkili bir şekilde kullanarak en iyi ağ kalitesini elde etmeyi amaçlar. Sahe kurulduktan ve yayına alındıktan sonra, sorunları mobil ağ kalitesi ölçütlerini karşılamak üzere bulup düzeltir. Dolayısıyla, optimizasyon işlemi, hücresel ağın kalitesini artırmak için sürekli ve tekrarlayan bir işlemdir. Ancak, bir sahada optimizasyon yaparken, diğer sitelerin parametrelerinin bozulmamasına özen gösterilmelidir. Bu makalede, bir mobil operatör için Rxlevel, RxQual, Konuşma Kalitesi Endeksi (SQI) gibi bazı parametreleri arttırmak ve servis kalitesini doğrudan etkileyen bazı sorunları çözmek için bir mobil operatör için Türkiye Diyarbakır'da bir optimizasyon çalışması yapılmıştır. Pek çok hücrede sinyal seviyesinin neredeyse aynı olması, görüş hattının kaybedimesi durumu, komşu hücrelerine ait sinyalllerinin ani görünümü ve kaybolması ve sinyal seviyesinde ani düşüşlerin gerçekleşmesidir. Sonuç olarak, bu problemler bazı durumlarda çözülmektedir: Komşu hücrelerin kapsama alanları, anten güçlerini ve antenlerin BTS'lerde aşağıya eğilme açıları azaltılarak giderilir. Servis hücrelerinin ikisini seçerek yeni bir frekans planlaması yapılır. Baz istasyonundaki problemli bölgeye hizmet veren sektörün anteni, 3 dB kazançla daha yüksek anten tipiyle değiştirilir. Ayrıca, bir tünele tekrarlayıcı adı verilen bir sinyal yükselticisi yerleştirilerek ve bu istenmeyen durumlar giderilir.

Field strength prediction of mobile communication network based on GIS

This article describes GIS-based models successfully developed for predicting the coverage of Cityphone cellular network, visualizing the predicted signal strength, and analyzing the field strength coverage. In order to predict the signal coverage strength of communication network more accurately, the spatial and nonspatial databases of a mobile cellular network are combined by GIS and produce the necessary parameters. A GIS model named COST-231-Walfisch–Ikegami model (WIM) is developed for signal coverage prediction in Ho Chi Minh City. Radio-line-of-sight and nonradio-line-of-sight conditions can be determined by this model. In addition, in case of nonradio-line-of-sight conditions, average building height, building separation, building width, incident radio path, and road orientation with respect to the direct radio path were obtained using GIS. Road orientation loss, multiscreen diffraction loss, and shadowing gain were predicted more accurate by this model. The scale of maps in the experiment was 1:2000 and the average of floor height was 3 m because there were no exact building height measurements. Statistical results show that the path loss predicted by the COST 231 WIM overcame the real path loss of each cell station. And this method can be used for signal coverage prediction of mobile cellular network in urban areas. Compared to the current situation with the Ho Chi Minh City Posts and Telecommunications system, this model can be effectively applied to improve the Cityphone mobile network quality as well as capability. Developed GIS models can help designers in predicting cell station coverage using real spatial maps that make the results more reliable. This research can help network operators improve the network quality and capability with the best investment efficiently.

Advances in Wireless Video Delivery

This paper reviews practical video delivery technologies, examining existing mobile networks, commercialized or standardized transport, and coding technologies. Compression efficiency, power dissipation, and error control are intrinsic issues in wireless video delivery. Among these issues, error control technologies are evaluated at four layers: 1) layer-1/2 transport; 2) end-to-end transport layer such as TCP/IP or RTP/UDP/IP; 3) error-resilience tool and network adaptation layer) and 4) source coder layer. Layer-1/2 transport tends to provide two distinct conditions: one quasi-error-free, in which upper layer error control technologies show a limited improvement, and one with a burst of errors during the fading period, in which the adaptability of error control is essential. Emerging mobile network quality of service will have a large variation of bandwidth and delay. Thus, adaptive rate control and error recovery are identified as more crucial issues for future research.