Quality competition among internet service providers

Scherrer, Simon; Tabaeiaghdaei, Seyedali; Perrig, Adrian

doi:10.1016/j.peva.2023.102375

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…One solution to this problem is that cellular network providers can improve infrastructure, such as improving coverage area , which is an important factor in improving communication continuity between Mobile Station (MS) users, both in urban and inland areas, as well as building the availability of Base Transceiver Station (BTS) towers at each location. provider [6]This will help improve the quality of services provided to users. The solution offered in this research is collaboration between cellular network providers who can work together to improve the quality of internet network services.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Quality of Service Parameters for Four Cellular Network Providers in Punggur Kecil Village

Silaban,

Putra,

Tjahjamooniarsih

2024

TELECTRICAL

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This research aims to analyze Quality of Service (QoS) parameters on cellular networks using four providers by measuring throughput, packet loss, delay and jitter parameters when conducting Video Streaming and Online Games using the Wireshark application. The research method involves direct measurement of QoS parameters in several strategic locations in Punggur Kecil village, data was taken at three different location points with a distance comparison of ±500 meters. From all the recapitulations of QoS parameter measurement results, it can be concluded that the value of each QoS parameter can vary for each package which includes the categories poor, medium, good and very good because the bandwidth received by each provider is different. The cause of high and low values of different QoS parameters, Throughput is caused by the number of packet arrivals measured during the observation process, Packet Loss is caused by the number of queues exceeding capacity, Delay is caused by low Throughput values and the number of packets sent, while the Jitter value is influenced by the Delay value. The results obtained are that the Indosat provider is the recommended provider when carrying out Video Streaming and Online Games, because the Quality of Service value produced is superior to other providers. The average values of the Throughput, Packet Loss, Delay and Jitter parameters at each location for the Indosat provider are respectively 796kbps, 2.63%, 22.6ms and 22.6ms. Provider XL is 708kbps, 1.67%, 12.6ms, and 12.6ms. Provider Telkomsel 667kbps, 0.33%. 55.9ms, and 56ms. As well as the Smartfren provider 50kbps, 0.38%, 102.6ms, and 102.7ms.

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Section: Introductionmentioning

confidence: 99%

Comparison of Quality of Service Parameters for Four Cellular Network Providers in Punggur Kecil Village

Silaban,

Putra,

Tjahjamooniarsih

2024

TELECTRICAL

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Towards Sustainable Internet Service Provision: Analyzing Consumer Preferences through a Hybrid TOPSIS–SEM–Neural Network Framework

Saflor,

Mariñas,

Alvarado

et al. 2024

Sustainability

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In our increasingly digital world, grasping consumer preferences for internet service providers (ISPs) is paramount. This study was conducted in Occidental Mindoro, Luzon, the Philippines, and surveyed 280 respondents across ten municipalities with 81 in-person and online questionnaires. The research focused on twelve latent variables: internet speed, assurance, tangibility, responsiveness, reliability, empathy, data privacy, service quality, value-added services, price, customer satisfaction, and customer loyalty. Methods such as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Structural Equation Modeling (SEM), and an Artificial Neural Network (ANN) were integrated for the analysis. The study utilized TOPSIS to rank ISPs based on Service Quality (SERVQUAL) parameters, followed by SEM to delve into variable connections affecting preferences, and through as ANN, consumer behavior and loyalty were predicted. The SEM–ANN results revealed that assurance, responsiveness, empathy, and data privacy directly impacted service quality. Moreover, a significant correlation was found between customer satisfaction and service quality, influencing further customer loyalty alongside pricing. By integrating these methodologies, the study provides a comprehensive understanding of ISP preferences and emphasizes service quality as the most significant factor in industry decision-making.

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Quality competition among internet service providers

Cited by 2 publications

References 18 publications

Comparison of Quality of Service Parameters for Four Cellular Network Providers in Punggur Kecil Village

Comparison of Quality of Service Parameters for Four Cellular Network Providers in Punggur Kecil Village

Towards Sustainable Internet Service Provision: Analyzing Consumer Preferences through a Hybrid TOPSIS–SEM–Neural Network Framework

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