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Relevant bibliographies by topics / Mobile Telecom Networks

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Journal articles

Academic literature on the topic 'Mobile Telecom Networks'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Mobile Telecom Networks"

1

Hu, Xinxin, Haotian Chen, Hongchang Chen, Xing Li, Junjie Zhang, and Shuxin Liu. "Mining Mobile Network Fraudsters with Augmented Graph Neural Networks." Entropy 25, no. 1 (2023): 150. http://dx.doi.org/10.3390/e25010150.

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With the rapid evolution of mobile communication networks, the number of subscribers and their communication practices is increasing dramatically worldwide. However, fraudsters are also sniffing out the benefits. Detecting fraudsters from the massive volume of call detail records (CDR) in mobile communication networks has become an important yet challenging topic. Fortunately, Graph neural network (GNN) brings new possibilities for telecom fraud detection. However, the presence of the graph imbalance and GNN oversmoothing problems makes fraudster detection unsatisfactory. To address these prob

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2

Nimako, Simon Gyasi, and Joseph Mbawuni. "Examining Switching Intentions, Partial and Total Switching among Mobile Subscribers in Ghana." International Business Research 9, no. 5 (2016): 36. http://dx.doi.org/10.5539/ibr.v9n5p36.

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<p>This paper empirically explores consumer switching intentions, partial and total switching situations in the Ghana mobile telecom industry. Using data from a cross-sectional survey of 736 mobile subscribers from six global telecom networks in Ghana’s mobile telecommunication industry, the results indicate switching intentions are significantly different among customers of various mobile telecom service providers. Customers of MTN and Tigo mobile operators have stronger intentions to switch than those from the other firms. It also found that more non-porters defect and switch to other

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3

Daradkeh, Dr Yousef Ibrahim, Mujahed ALdhaifallah, and Dmitry Namiot. "One Model of Geo-Location Services for Telecom Operators." International Journal of Interactive Mobile Technologies (iJIM) 10, no. 2 (2016): 19. http://dx.doi.org/10.3991/ijim.v10i2.5189.

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This paper discusses location-based service for telecom providers. Most of the location-based services in the mobile networks are introduced and deployed by Internet companies. It leaves for telecom just the role of the data channel. Telecom providers should use their competitive advantages and offer own solutions. In our article, we discuss the sharing location information via geo messages. Geo messages let mobile users share location information as signatures to the standard messages (e.g., email, SMS). Rather than let some service constantly monitor (poll) the user’s location (as the most s

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4

Evren, Sadi, and Atik Kulakli. "Macroeconomic ICT Facts and Mobile Telecom Operators via Social Networks and Web Pages." Journal of Economics, Business and Management 4, no. 2 (2016): 99–103. http://dx.doi.org/10.7763/joebm.2016.v4.374.

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5

Chand, Gyan, and Dr Rajeev Kumar Singh. "A Critical Study on Impact of Advertisement on Airtel Mobile Service Users with Special Reference to Bhagalpur City." GIS Business 14, no. 6 (2019): 500–509. http://dx.doi.org/10.26643/gis.v14i6.14028.

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In the 21st century, mobile has developed as basic framework to interface residents, organizations, and networks the same to new chances. However for an excessive number of networks, the guarantee of fast, affordable, and reliable telecom access remains unrealized. Mobile connectivity has been changing our lives today and contacting the correct group of spectators made simple by telecom specialist co-op and consumer loyalty which changes over into deals. In this publicizing assume imperative job in coming to the unreached as far as online administrations. In this specific circumstance, an ende

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6

Chen, Xu. "Optimizing MPBSM Resource Allocation Based on Revenue Management: A China Mobile Sichuan Case." Mobile Information Systems 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/892705.

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The key to determining the network service level of telecom operators is resource allocation for mobile phone base station maintenance (MPBSM). Given intense market competition and higher consumer requirements for network service levels, an increasing proportion of resources have been allocated to MPBSM. Maintenance costs account for the rising fraction of direct costs, and the management of MPBSM resource allocation presents special challenges to telecom operators. China Mobile is the largest telecom operator in the world. Its subsidiary, China Mobile Sichuan, is the first in China to use rev

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7

Aghara, Vincent NO, Ogwo E. Ogwo, and Obinna C. Ojiaku. "Analysis of Customers Acquisition Behaviour of Multiple SIM Networks Among University Lecturers in Southeast Nigeria." Business and Management Horizons 7, no. 1 (2019): 78. http://dx.doi.org/10.5296/bmh.v7i1.14690.

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As the voice-service-market of mobile telecommunication providers fast reaches its saturation amidst increasing competition, its revenue potential to telecom providers continue to decline. Therefore, understanding consumers use behavior portends important strategic consideration for customer acquisition and retention for telecom operators. This study seeks to empirically determine the factors that influence the acquisition of multiple GSM networks by university lecturers in Southeastern universities in Nigeria. Data were generated from a sample of 301 respondents. Three hypotheses were stated

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8

Liu, Jie. "Process and Application of Supply Chain Management on Telecom Operator Industry." Advanced Materials Research 630 (December 2012): 451–57. http://dx.doi.org/10.4028/www.scientific.net/amr.630.451.

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Organizations increasingly find that they must rely on effective supply chains, or networks, to compete in the global market and networked economy. This template explains and demonstrates the value, process, and application of supply chain management. Analyzed the participants which consist of m-commerce supply chain in China and how these participants create value and how information or service flows through the whole supply chain by investigating top three mobile network operators in China, China Mobile, China Unicom and China Telecom.

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9

XU, Hui-yang, Mei-na SONG, Hui CHEN, and Jun-de SONG. "Research on SOA based mobile mashup platform for telecom networks." Journal of China Universities of Posts and Telecommunications 15 (September 2008): 31–36. http://dx.doi.org/10.1016/s1005-8885(08)60150-8.

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10

Sultan, Kashif, Hazrat Ali, Adeel Ahmad, and Zhongshan Zhang. "Call Details Record Analysis: A Spatiotemporal Exploration toward Mobile Traffic Classification and Optimization." Information 10, no. 6 (2019): 192. http://dx.doi.org/10.3390/info10060192.

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The information contained within Call Details records (CDRs) of mobile networks can be used to study the operational efficacy of cellular networks and behavioural pattern of mobile subscribers. In this study, we extract actionable insights from the CDR data and show that there exists a strong spatiotemporal predictability in real network traffic patterns. This knowledge can be leveraged by the mobile operators for effective network planning such as resource management and optimization. Motivated by this, we perform the spatiotemporal analysis of CDR data publicly available from Telecom Italia.

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