Relevant bibliographies by topics / Mobile Telecom Networks

Academic literature on the topic 'Mobile Telecom Networks'

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Published: 6 September 2023

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Journal articles on the topic "Mobile Telecom Networks"

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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 (January 11, 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 problems, we propose a new fraud detector. First, we transform the user features with the help of a multilayer perceptron. Then, a reinforcement learning-based neighbor sampling strategy is designed to balance the number of neighbors of different classes of users. Next, we perform user feature aggregation using GNN. Finally, we innovatively treat the above augmented GNN as weak classifier and integrate multiple weak classifiers using the AdaBoost algorithm. A balanced focal loss function is also used to monitor the model training error. Extensive experiments are conducted on two open real-world telecom fraud datasets, and the results show that the proposed method is significantly effective for the graph imbalance problem and the oversmoothing problem in telecom fraud detection.
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Nimako, Simon Gyasi, and Joseph Mbawuni. "Examining Switching Intentions, Partial and Total Switching among Mobile Subscribers in Ghana." International Business Research 9, no. 5 (March 16, 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 mobile networks than porters do. Consistent with the hypothesis, defectors (partial switching) are strongly associated with total switching behaviour than non-defectors. Also, in order to reduce subscriber defect or churn rate, mobile telecom operators should direct more effort and resource to promoting and educating their customers on the benefits of porting their mobile numbers to other networks. Theoretical and managerial implications are discussed. The paper contributes to the body of knowledge in the area of consumer switching behaviour in mobile telecom industry in emerging countries.</p>
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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 (April 28, 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 standalone services do) or share location info within any social circle (social network check-in, etc.) The Geo Messages approach lets users share location data on the peer to peer basis. Users can share own location info with any existing messaging systems. And messaging (e.g., SMS) is the traditional service for telecom.
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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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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 (December 7, 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 endeavour has been had to investigate the effect of promoting on offers of Airtel mobile services.
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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 revenue management in improving MPBSM resource allocation. On the basis of comprehensive revenue (including both economic revenue and social revenue), the subsidiary established a classification model of its base stations. The model scientifically classifies more than 25,000 base stations according to comprehensive revenue. China Mobile Sichuan also conducted differentiation allocation of MPBSM resources on the basis of the classification results. Furthermore, it optimized the assessment system of the telecom base stations to establish an assurance system for the use of MPBSM resources. After half-year implementation, the cell availability of both VIP base stations and total base stations significantly improved. The optimization also reduced economic losses to RMB 10.134 million, and enhanced customer satisfaction with network service by 3.2%.
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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 (April 19, 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 and tested using Analysis of variance (ANOVA). The result shows positive relationships between income, social affinity networks, and brand image and consumer acquisition of multi SIM networks. It is therefore, recommended that income, social affinity, and brand image be used as strategic marketing tools to attract customers to acquire a particular network.
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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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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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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 (June 3, 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. Thus, on the basis of spatiotemporal insights, we propose a framework for mobile traffic classification. Experimental results show that the proposed model based on machine learning technique is able to accurately model and classify the network traffic patterns. Furthermore, we demonstrate the application of such insights for resource optimisation.
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Dissertations / Theses on the topic "Mobile Telecom Networks"

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Sonnert, Adrian. "Predicting inter-frequency measurements in an LTE network using supervised machine learning : a comparative study of learning algorithms and data processing techniques." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148553.

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With increasing demands on network reliability and speed, network suppliers need to effectivize their communications algorithms. Frequency measurements are a core part of mobile network communications, increasing their effectiveness would increase the effectiveness of many network processes such as handovers, load balancing, and carrier aggregation. This study examines the possibility of using supervised learning to predict the signal of inter-frequency measurements by investigating various learning algorithms and pre-processing techniques. We found that random forests have the highest predictive performance on this data set, at 90.7\% accuracy. In addition, we have shown that undersampling and varying the discriminator are effective techniques for increasing the performance on the positive class on frequencies where the negative class is prevalent. Finally, we present hybrid algorithms in which the learning algorithm for each model depends on attributes of the training data set. These algorithms perform at a much higher efficiency in terms of memory and run-time without heavily sacrificing predictive performance.
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Jansson, Carl Johan, and Shuvo Deep Dass. "Customer Based Brand Equity and Intangibles : The case of the Swedish mobile network operators." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-179813.

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Problematization: Studies  indicate  that there  is  a  lack  of  strong  brands  among  the  Swedish mobile  network  operators.  Problems  of  retaining  customers  are  common  among  the  big operators. Few studies on brand equity for intangible products have been done.   Purpose: The purpose of this paper is to investigate which factors  influence  brand equity in the Swedish service sector of mobile network operators.   Theory: This  paper is  limited  to  one  aspect  of  brand  equity,  namely  customer  based  brand equity. Common  constructs of  customer  based  brand  equity are:  brand  awareness,  brand associations, brand loyalty, and perceived quality.    Methodology: The  data  was  collected  with  self-administered  delivery  and  collection questionnaires, which were distributed among university students.   Data: 400 questionnaires were handed out and 363 responses were valid.   Results  and  Conclusion: This  study  indicates  the  importance  of  brand  associations,  brand loyalty, and brand trust for establishing customer based brand equity among the Swedish mobile network operators.
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Bilavčík, Martin. "Marketingová strategie společnosti Telefónica O2." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2010. http://www.nusl.cz/ntk/nusl-222615.

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The goal of this diploma thesis is to prepare a marketing strategy for Telefónica O2 Czech Republic, a.s. The strategy is focused on target market and is based on questionnaire research made with respondents from target population. Strategy contains proposal of steps which could help to acquire new customers and keep recent customers. The diploma thesis also contains summary of information about the target population usable by Telefónica O2 for further analysis.
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Lind, Rutger, and Johan Törnblad. "Identification and Analysis of Market Indicators : a predictive tool for anticipating future demand fluctuations on the telecom mobile network equipment market." Thesis, Linköping University, Department of Management and Economics, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1107.

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Background: Forecasting is an instrument that the managers rely upon for their anticipations of the future. Subcontractors control their operations according to the forecast volumes provided by the telecom mobile network equipment suppliers. The information in the forecasts is however not sufficient.

Purpose: The purpose of this thesis is to identify and test relevant and available market indicators for prediction of future demand fluctuations on the telecom mobile network equipment market.

Realisation: During a number of interviews, factors that are driving the network equipment market were clarified. The aim of this part was to identify possible market indicators. Hypotheses were set up to test the chosen indicators. In the second part, the indicators were tested statistically. Finally, the theoretical and logical support of the results was discussed.

Result: To predict future movements in network equipment demand, the market indicators should focus on the telecom mobile operators, and their ability, need, and willingness to make new investments. The market indicators proven to be of most importance after the regression analyses were long-term market interest rates and telecom corporate bond indices.

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Tilson, David Albert. "The Interrelationships between Technical Standards and Industry Structures: Actor-Network Based Case Studies of the Mobile Wireless and Television Industries in the US and the UK." online version, 2008. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=case1207164101.

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Thesis (Ph. D.)--Case Western Reserve University, 2008.
Department of Information Systems, Weatherhead School of Management. Includes bibliographical references. Available online via OhioLINK's ETD Center.
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Lin, Pin-Jen, and 林品任. "Internet Protocol Packet Measurements for Mobile Telecom Networks." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/00886798688414381806.

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博士
國立交通大學
資訊科學與工程研究所
102
In the recent years, Long Term Evolution (LTE) systems have been developed to replace 3G mobile networks. During the LTE network deployment, it is essential that the mobile operators and manufacturers conduct tests on user equipment (UE) and base station (eNB). This dissertation develops a LTE test environment that can be used to test the Internet Protocol (IP)-based packet performance for Time Division - Long Term Evolution (TD-LTE) and Long Term Evolution Frequency Division Duplex (LTE FDD). Specifically, we consider the latency and the throughput performance of IP, TCP, and voice over Internet protocol (VoIP) packet delivery. This multi-purpose test environment can be utilized to investigate the performance of UE and/or eNB of various manufacturers. Furthermore, we also measure the latency and throughput performance of Worldwide Interoperability for Microwave Access (WiMAX), Time Division - Synchronous Code Division Multiple Access (TD-SCDMA) and Wideband Code Division Multiple Access (W-CDMA), and compare them with the performance of TD-LTE and LTE FDD. The measurement results provide guidelines for the LTE UE and eNB vendors to improve their products, and the operators to deploy their future networks and subsidized UEs. On the other hand, to measure VoIP quality, we proposed two MOS measurement approaches for mobile devices. In our approaches, a simple program is installed in each of the mobile devices (through an app-store like mechanism). In the PESQ MOS measurement approach, a lightweight real-time table lookup solution significantly reduces the computation time of PESQ MOS from 315.4 seconds to 3 seconds. In the E-model MOS measurement approach, MOS value can be accurately computed in 5.35 seconds. These results indicate that the proposed approaches can effectively provide the real-time VoIP quality measurement.
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Kolli, Naimisha. "On Leveraging Dynamic Processes in Large Social Networks for Smart Cities." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4438.

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The concept of smart city which began as being synonymous with electronically networked community underwent significant changes with the growth in mobile devices and social networking. This expanded the outlook of smart city to encompass different perspectives namely Smart People, Smart Governance, Smart Mobility, and Smart Economy. While the diverse sensing capabilities of the mobile devices and social networking have influenced the smart city in several ways and continue to do so, this thesis attempts to make a contribution on leveraging dynamic processes in large social networks represented by the Social Media and Telecom Call Data Records (CDRs) in order to understand human behavioral patterns and information cascade dynamics in the context of smart cities. A thorough study of the advances in communication, the behavioral pattern of usage of technologies and the demands of smart cities in today’s context has revealed that the Social Media data and the CDRs can be used effectively in understanding and identifying the key stakeholders and influencers in the society, the mathematical limitations on the predictability of the influences by the influencer, the retention capability and the behavior to churn of the influencers and the predictability of their everyday mobility patterns. These form the major focus and contribution of this thesis. The content of this thesis includes four chapters covering Smart cities from four different perspectives namely People, Governance, Mobility, and Economy using social networking and mobile technologies. The thesis provides technical solutions based in machine learning, graph and data analytics to relevant problems in these four directions. With regards to Smart People, an efficient algorithm based on the state-of-the-art semi-definite programming solution technique has been proposed for solving the problem of influence maximization when the network structure over which the information propagates is unknown for identifying community leaders and key players that encourage development in digital communities for maximizing the dissemination of information in a smart city. With the vast majority of people adopting online social media for communication, it becomes highly lucrative for viral marketers, political campaigners, local governing authorities, security agencies etc. to understand and be able to foresee the cascade xii dynamics, in order to affect social media movements for desired results. A mathematical framework for characterizing the predictability of social media cascade volumes based on entropy has been proposed and the theoretical “maximal predictability” achievable has been derived for augmenting emergency response and city incident management services towards Smart Governance. Understanding the complexities underlying the emerging behaviors of human mobility patterns in a metropolitan city is essential toward making informed decisionmaking pertaining to urban infrastructures. This thesis addresses the problem of predicting the next location of users for large population in a metropolitan city based on their past trajectory. A novel Temporally-Aware Matrix Factorization approach used in Recommender systems that leverages the scalability of matrix factorization methods and can effectively handle the temporal dependencies and the sparsity present in the users’ mobility patterns found in CDRs has been proposed. In the area of Smart Economy, business models for keeping customers satisfied is one of the primary capital invested areas for the economic growth of these service providers. To this end, this thesis develops churn prediction models for which there exists very little data except for CDRs. Such practical limitations certainly make the problem more challenging. Novel hybrid feature sets based on mobile call usage and social network groups have been proposed in order to improve customer churn prediction models for businesses in a Smart Economy. In all the problems addressed in this thesis, experiments have been carried out on various synthetic and real-world networks and the proposed approaches have been compared with relevant methodologies currently existing in the literature. The results demonstrate the superior performance of our proposed approaches for problems addressed. In conclusion, by leveraging recent advances in real time data analytics, machine learning and visualizations, mapping and location enablement in mobile phones and the rise of social media, the methodologies proposed in this thesis provide new avenues for development of smart city services that can be integrated in current smart city frameworks and thus provides impetus to the development of a Smart City.
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Cheng, Fen-Chou, and 鄭汾洲. "The Study of Emotional Response and Thought Induced by 3G Mobile Network Failure–An Empirical Study of Chunghwa Telecom 3G Mobile Network." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/v7at88.

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碩士
國立東華大學
管理學院高階經營管理碩士在職專班
102
Previous studies in communications services area, most of research focused on services for satisfaction. Very few scholars would apply to both positive and negative emotions to explore telecommunication services due to lack of blame attribution, emotion and conation. This study applied tri-component attitude model to study the customers’ emotional reactions and conations and explore the positive and negative emotions of customers encounter failure context for 3G mobile network. The respondents of this study were Chunghwa Telecom 3G mobile network users in Taiwan. This study collected 446 valid samples for analysis. The results of this study indicated that: (1) Perceived interactional justice, service failure severity and stability of product has significant and positive effect on blame attribution, respectively; (2) Perceived interactional justice and empathy has significant and positive effect on customer satisfaction, respectively; (3) Blame attribution has significant and positive effect on empathy, anger and recovery expectations, respectively; (4) Empathy has significant and positive effect on customer satisfaction; (5) Empathy and customer satisfaction has significant and positive effect on customer loyalty; (6) Empathy, customer satisfaction and customer loyalty has significant and positive effect on intention to use and adopt, respectively; (7) Anger has significant and positive effect on desire for revenge.
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Thuan, Ha Quang, and Ha Quang Thuan. "Building Model of Location Based Services for Mobile Telecom Network in Viet Nam (VMS-Mobifone)." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/09245331629436545743.

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碩士
龍華科技大學
資訊管理系碩士班
101
Nowadays, the trend of using the value-added services and data services instead of traditional telecommunications services such as voice and messaging becomes clearer. The provider of mobile communication services are focusing on the value-added services and data services to ensure the growth and offset the decline in revenue from the service list traditions. For the reasons above, the topic was selected: "Building model of location base services for mobile telecom network in Vietnam". Case study in VMS-MobiFone, with the desire to study and Provide model for system development, as well as services needed to provide to customers on the mobile phone network associated with locating service. Objectives: Constructing technical model to develop the location services for mobile net-work and Helping mobile networks in Vietnam to diversify services provided to customers. To build technical model for developing location-based services need to study model provide location-based services have been implemented and the ability to combine location information of mobile subscribers. Based on a combination of subscriber location infor-mation and location information will be the basis for the deployment of value added ser-vices in mobile communication networks The study applies this model in VMS-Mobifone company and offer services can be deployed on a research model Methodology: The research strategy is to study the situation, and the method is to use mixed methods short-term (cut layer) with both qualitative and quantitative data collecting and analysis. Expected results and discussion: From the results of quantitative and qualitative, expert interviews, conducted surveys, we can summarize the preliminary results achieved:  Provide model for system development, as well as services needed to provide to customers on the mobile phone network associated with locating service. At the same time analyze the difficulties and advantages in the deployment process.  On the basis of systematizing to clarify the GIS service models combined with lo-cation-based services LBS and mobile networks, as well as analysizing of the strengths and weaknesses of the previous system developed on the GIS model for the internet to develop and build models for handheld devices, where the trend of the shift between the smartphone and computer equipment is more and more grow-ing.
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Sehgal, Vineet. "Critical success factors for mobile virtual network operatorsin Indian telecommunication industry." Thesis, 2018. http://localhost:8080/xmlui/handle/12345678/7588.

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Books on the topic "Mobile Telecom Networks"

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Decreusefond, Laurent. Stochastic modeling and analysis of telecom networks. London: ISTE, 2011.

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Computer telephony demystified: Putting CTI, media services, and IP telephony to work. New York: McGraw-Hill, 2001.

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Minoli, Daniel. Hotspot Networks : WiFi for Public Access Locations (Professional Telecom). McGraw-Hill Professional, 2002.

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Hong, Yu. Making a Home-Base Strategy. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252040917.003.0005.

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This chapter traces the evolution of mobile communications as a site of China’s “home-base” industrial strategy and, after the 2008 global economic crisis, as part of intensified geopolitical struggle in the techno-economic realm. This chapter, first, historicizes telecom development through successive network generations, starting from fixed-line networks to second-generation and then third-generation mobile networks. As the business ecosystem includes network-equipment production, handset production, and content development and distribution, this chapter, then, explores market-specific trajectories, dynamics, and challenges so as to make sense of varying state actions and the obstacles they faced under the general 3G developmental framework. Lastly, to underscore the state’s diluted interventionist capacity, the coda explores how the 3G mobile communications development has affected state strategies and competitive structures in the 4G era.
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Jaokar, Ajit V. Open Mobile Understanding the Impact of Open Mobile: Implications for Telecoms/Devices, Web, Social Networks, Media and Personal Privacy. futuretext, 2009.

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Bayer, Michael. Computer Telephony Demystified. McGraw-Hill Professional, 2000.

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Bayer, Michael. Computer Telephony Demystified. McGraw-Hill Professional, 2000.

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Book chapters on the topic "Mobile Telecom Networks"

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Beschi Raja, J., G. Mervin George, V. Roopa, and S. Sam Peter. "A Systemic Method of Nesting Multiple Classifiers Using Ensemble Techniques for Telecom Churn Prediction." In Evolutionary Computing and Mobile Sustainable Networks, 13–25. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5258-8_2.

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Saravanan, M., and G. S. Vijay Raajaa. "A Graph-Based Churn Prediction Model for Mobile Telecom Networks." In Advanced Data Mining and Applications, 367–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35527-1_31.

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Jho, Whasun. "The Emergence of Centralized Network Governance in the Korean Mobile Market." In Building Telecom Markets, 89–129. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7888-1_5.

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Medudula, Murali Krishna, Mahim Sagar, and Ravi Parkash Gandhi. "Mobile Virtual Network Operators (MVNOs): An Emerging Business Model." In Telecom Management in Emerging Economies, 99–118. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2749-6_6.

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Øverby, Harald, and Jan A. Audestad. "The Norwegian Mobile Telephony and Internet Markets." In Digital Transformation in Norwegian Enterprises, 43–62. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05276-7_4.

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AbstractNorway has been a pioneer in the development and adoption of the Internet and mobile telephony technologies. Already from an early stage, Norway was involved in research, development, and testing of initiatives such as the ARPANET project and the Nordic Mobile Telephone (NMT) system. Today, access to the Internet and mobile technologies—including smartphones—is globally widespread. The major objective of this chapter is to describe how the market for the Internet and mobile telephony in Norway has evolved since its inception in the 1970s until today. The historical and current market structure of telecommunications is discussed. Moreover, the chapter investigates the role and significance of mobile virtual network operators (MVNOs). Finally, the chapter examines the regulations imposed by the Norwegian Communications Authority (Nkom) on dominant stakeholders in the Norwegian telecom market.
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Shen, Yan, Shuangshuang Sun, and Bo Zhang. "Analysis and Design of E Surfing 3G Mobile Phone’s Payment Schemes of China Telecom Based on BP Neural Network." In Advances in Intelligent and Soft Computing, 123–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25989-0_22.

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"User-Centric Convergence in Telecom Networks." In Fixed Mobile Convergence Handbook, 47–68. CRC Press, 2018. http://dx.doi.org/10.1201/9781315218502-7.

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Albayrak, Sahin, Fikret Sivrikaya, Ahmet Toker, and Manzoor Ahmed Khan. "User-Centric Convergence in Telecom Networks." In Fixed Mobile Convergence Handbook, 29–50. CRC Press, 2010. http://dx.doi.org/10.1201/ebk1420091700-3.

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Wright, David. "Wireless Technologies for Mobile Computing and Commerce." In Mobile Computing, 1175–82. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-054-7.ch097.

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At the time of writing (1Q06) most countries have a small number (2-6) of major cellular operators offering competing 2.5G and 3G cellular services. In addition, there is a much larger number of operators of WiFi networks. In some cases, a major cellular operator, for example, Deutsche Telekomm and British Telecom, also offers a WiFi service. In other cases, WiFi services are provided by a proliferation of smaller network operators, such as restaurants, laundromats, airports, railways, community associations and municipal governments. Many organizations offer WiFi free of charge as a hospitality service, for example, restaurants. Cellular services offer ubiquitous, low data rate communications for mobile computing and commerce, whereas WiFi offers higher data rates, but less ubiquitous coverage, with limitations on mobility due to business as opposed to technology reasons. Emerging networks for mobile computing and commerce include WiMAX and WiMobile (Wright, 2006), which offer higher data rates, lower costs and city-wide coverage with handoff of calls among multiple base stations. These new technologies may be deployed by the organizations that currently deploy cellular and WiFi networks, and also may give rise to a new group of competitive wireless network operators. This article identifies the capabilities needed for mobile computing and commerce and assesses their technology and business implications. It identifies developments in the wireless networks that can be used for mobile computing and commerce, together with the services that can be provided over such networks. It provides a business analysis indicating which network operators can profitably deploy new networks, and which network operators need to establish business and technology links with each other so as to better serve their customers. The resulting range of next generation service, technologies and network operators available for mobile computing and commerce is identified.
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Kasimatis, Panagiotis, and Dimitra Varla. "Mobile Telecom System Architectures—IMS an Evolution Path Towards IP Convergence." In Handbook of Research on Heterogeneous Next Generation Networking, 197–222. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-108-7.ch010.

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This chapter deals with the description of the various applied Mobile System Architectures, showing the evolution path towards the IP Convergence issue, with the introduction of the IP Multimedia Subsystem. It contains the most important networks entities of the different Mobile Networks Systems and their integration to the IMS. Being the core of the Fixed-Mobile Converge, IMS’ operation, functionality and interoperability with the other Telecom platforms are analyzed. Furthermore, aiming in a cost effective high QoS solution, typical performance evaluation strategies of the network manufacturers are described. Its scope is to give an overview of the existing architectures, their network components, their characteristics and their differences, while also show how nearly all traditional Telecom networks can be converged, with the use of the IMS, to an all-IP network, where various applications can be accessed by heterogeneous network platforms.
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Conference papers on the topic "Mobile Telecom Networks"

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Saravanan, M., Smita Behera, and Vishakh Iyer. "Smart Contracts in Mobile Telecom Networks." In 2017 23RD Annual International Conference in Advanced Computing and Communications (ADCOM). IEEE, 2017. http://dx.doi.org/10.1109/adcom.2017.00011.

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Seraoui, Youssef, Brahim Raouyane, Mostafa Belmekki, and Mostafa Bellafkih. "Opening into a virtualized IMS based telecom architectural framework: Telecom cloud manager." In 2017 International Conference on Wireless Networks and Mobile Communications (WINCOM). IEEE, 2017. http://dx.doi.org/10.1109/wincom.2017.8238143.

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Ouyang, Ye, Mantian Mandy Hu, Alexis Huet, and Xingshuai Sun. "Mining of leaders in mobile telecom social networks." In 2016 Wireless Telecommunications Symposium (WTS). IEEE, 2016. http://dx.doi.org/10.1109/wts.2016.7482054.

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Laitsou, Eleni, Michail Kiriakidis, Antonis Kargas, and Dimitris Varoutas. "Fixed-mobile convergence in telecom markets: Evidence from Greece." In 2017 Internet of Things - Business Models, Users, and Networks. IEEE, 2017. http://dx.doi.org/10.1109/ctte.2017.8260994.

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Xu, Lexi, Xin He, Guanglu Shao, Yue Cao, Haochen Yang, Chen Sun, Tao Zhang, Binyuan Wen, Xinzhou Cheng, and Chuntao Song. "Research on Telecom Big Data Platform of LTE/5G Mobile Networks." In 2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS). IEEE, 2019. http://dx.doi.org/10.1109/iucc/dsci/smartcns.2019.00155.

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Dasgupta, Koustuv, Rahul Singh, Balaji Viswanathan, Dipanjan Chakraborty, Sougata Mukherjea, Amit A. Nanavati, and Anupam Joshi. "Social ties and their relevance to churn in mobile telecom networks." In the 11th international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1353343.1353424.

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RISPOLI, FRANCESCO. "MODERN RAILWAYS: CONNECTING TRAIN CONTROL SYSTEMS WITH MOBILE AND SATCOM TELECOM NETWORKS." In COMPRAIL 2020. Southampton UK: WIT Press, 2020. http://dx.doi.org/10.2495/cr200361.

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Mohammadnia, Foroogh, Marco Fiore, and Marco Ajmone Marsan. "Adaptive densification of mobile networks: Exploring correlations in vehicular and telecom traffic." In 2018 17th Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net). IEEE, 2018. http://dx.doi.org/10.23919/medhocnet.2018.8407081.

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Kolli, Naimisha, and N. Balakrishnan. "Hybrid Features for Churn Prediction in Mobile Telecom Networks with Data Constraints." In 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2020. http://dx.doi.org/10.1109/asonam49781.2020.9381482.

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Kasmi, Ouafae, Amine Baina, and Mostafa Bellafkih. "Multi level integrity management in enhanced telecom operation for LTE/LTE-A networks." In 2017 International Conference on Wireless Networks and Mobile Communications (WINCOM). IEEE, 2017. http://dx.doi.org/10.1109/wincom.2017.8238165.

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Reports on the topic "Mobile Telecom Networks"

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Winseck, D. Growth and Upheaval in the Network Media Economy in Canada, 1984-2019. Canadian Media Concentration Research Project (CMCRP), Carleton University, November 2020. http://dx.doi.org/10.22215/cmcrp/2020.1.

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This report examines the development of the media economy over the past thirty-five years. Since beginning this project a decade ago, we have focused on analyzing a comprehensive as possible selection of the biggest telecoms, Internet and media industries (based on revenue) in Canada, including: mobile wireless and wireline telecoms; Internet access; cable, satellite & IPTV; broadcast television, specialty and pay television services as well as Internet-based video subscription and download services; radio; newspapers; magazines; music; Internet advertising; social media; operating systems; browsers, etc.
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