New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry

This thesis investigates profiling and differentiating customers through the use of statistical data mining techniques. The business application of our work centres on examining individuals’ seldomly studied yet critical consumption behaviour over an extensive time period within the context of the wireless telecommunication industry; consumption behaviour (as oppose to purchasing behaviour) is behaviour that has been performed so frequently that it become habitual and involves minimal intentions or decision making. Key variables investigated are the activity initialised timestamp and cell tower location as well as the activity type and usage quantity (e.g., voice call with duration in seconds); and the research focuses are on customers’ spatial and temporal usage behaviour. The main methodological emphasis is on the development of clustering models based on Gaussian mixture models (GMMs) which are fitted with the use of the recently developed variational Bayesian (VB) method. VB is an efficient deterministic alternative to the popular but computationally demandingMarkov chainMonte Carlo (MCMC) methods. The standard VBGMMalgorithm is extended by allowing component splitting such that it is robust to initial parameter choices and can automatically and efficiently determine the number of components. The new algorithm we propose allows more effective modelling of individuals’ highly heterogeneous and spiky spatial usage behaviour, or more generally human mobility patterns; the term spiky describes data patterns with large areas of low probability mixed with small areas of high probability. Customers are then characterised and segmented based on the fitted GMM which corresponds to how each of them uses the products/services spatially in their daily lives; this is essentially their likely lifestyle and occupational traits. Other significant research contributions include fitting GMMs using VB to circular data i.e., the temporal usage behaviour, and developing clustering algorithms suitable for high dimensional data based on the use of VB-GMM.

A systematic approach for improving the quality of official statistics: Case of Korean information and telecommunication industry

With the rapid growth of information and communication technology (ICT) in Korea, there was a need to improve the quality of official ICT statistics. In order to do this, various factors had to be considered, such as the quality of surveying, processing, and output as well as the reputation of the statistical agency. We used PLS estimation to determine how these factors might influence customer satisfaction. Furthermore, through a comparison of associated satisfaction indices, we provided feedback to the responsible statistics agency. It appears that our model can be used as a tool for improving the quality of official ICT statistics. © 2008 Elsevier B.V. All rights reserved.

Implications of Recent Trends in Telecommunications on Modeling and Simulation for the Telecommunication Industry

With this paper we would like to trigger a discussion on future needs of modeling and simulation techniques and tools for the telecommunication industry. We claim that the telecommunication market has undergone severe changes that affect the need for and type of simulations in industrial research. We suggest some approaches how to address these new challenges. We believe that there is need for intensive research in the area.

Developing a simulator application to test the billing platform in telecom industry

Billing Mediation Platform (BMP) in telecommunication industry is used to process real-time streams of Call Detail Records (CDRs) which can be a massive number a day. The generated records by BMP can be deployed for billing purposes, fraud detection, spam filtering, traffic analysis, and churn forecast. Several of these applications are distinguished by real-time processing requiring low-latency analysis of CDRs. Testing of such a platform carries diverse aspects like stress testing of analytics for scalability and what-if scenarios which require generating of CDRs with realistic volumetric and appropriate properties. The approach of this project is to build user friendly and flexible application which assists the development department to test their billing solution occasionally. These generators projects have been around for a while the only difference are the potions they cover and the purpose they will be used for. This paper proposes to use a simulator application to test the BMPs with simulating CDRs. The Simulated CDRs are modifiable based on the user requirements and represent real world data.

Voice over IP 2.0: an analysis of limits and potential of IP2IP telecommunication

Internet Telephony (VoIP) is changing the telecommunication industry. Oftentimes free, VoIP is becoming more and more popular amongst users. Large software companies have entered the market and heavily invest into it. In 2011, for instance, Microsoft bought Skype for 8.5bn USD. This trend increasingly impacts the incumbent telecommunication operators. They see their main source of revenue – classic telephony – under siege and disappear. The thesis at hand develops a most-likely scenario in order to determine how VoIP is evolving further and it predicts, based on a ten-year forecast, the impact it will have on the players in the telecommunication industry.The paper presents a model combining Rogers’ diffusion and Christensen’s innovation research. The model has the goal of explaining the past evolution of VoIP and to isolate the factors that determine the further diffusion of the innovation. Interviews with industry experts serve to assess how the identified factors are evolving.Two propositions are offered. First, VoIP operators are becoming more important in international, corporate, and mobile telephony. End-to-end VoIP (IP2IP) will exhibit strong growth rates and increasingly cannibalize the telephony revenues of the classic operators. Second, fix-net telephony in SMEs and at home will continue to be dominated by the incumbents. Yet, as prices for telephony fall towards zero also they will implement IP2IP in order to save costs. By 2022, up to 90% of the calls will be IP2IP. The author recommends the incumbents and VoIP operators to proactively face the change, to rethink their business strategies, and to even be open for cooperation.

Standard Essential Patent in Telecommunication Standard: United States and China Comparison

Thesis (Ph.D.)--University of Washington, 2016-08

Big Bath and Impairment of Goodwill : A study of the European telecommunications industry

Income decreasing strategies conducted by management could be harmful for various stakeholders. One example is big bath accounting, which could be accomplished in numer- ous ways. This study focus on big baths achieved by recognising impairments of goodwill. Purpose - The purpose of this study is to examine patterns of association between big bath accounting and impairment of goodwill within the telecommunication service industry in Europe. Further, this study aim at contributing to the discussion regarding utilisation of big baths through impairments of goodwill, and takes the perspective of an external stakehold- er. Delimitations - The study is restricted to European telecommunication entities comprised in STOXX Europe 600 Index. Method - This study was conducted using a hybrid of qualitative and quantitative research strategy with a deductive approach. The five indicators used to identify various big bath behaviours were inspired and derived from theory and previous research. Data from 2009 to 2015 was collected from the companies’ annual reports and websites, and analysed by the help of codification of each fulfilled indicator where 2009 merely served as a compara- tive year for 2010. By the use of a scoreboard the collected data was summarised on an ag- gregated yearly basis as the industry, not the specific companies, were analysed. Empirical findings - The results of this study suggests that big baths are executed among tele- communication companies within Europe. These are conducted simultaneously as impair- ments of goodwill are present, facilitated by earning management. A possible explanation is considered to be the room for interpretation inherent in IAS 36, enabling goodwill impair- ments to be recognised on managers’ command. Thereby an impairment could be “saved” for better or worse circumstances, or recognised when there exist an opportunity to max- imise (the manager's) wealth in the future. This study reveal the co-occurrence of goodwill impairments and big bath-indications, however a review of causal relationships are not en- abled by the limitations of the chosen method. 

RRNS-convolutional encoded concatenated code for OFDM based wireless communication

The modern telecommunication industry demands higher capacity networks with high data rate. Orthogonal frequency division multiplexing (OFDM) is a promising technique for high data rate wireless communications at reasonable complexity in wireless channels. OFDM has been adopted for many types of wireless systems like wireless local area networks such as IEEE 802.11a, and digital audio/video broadcasting (DAB/DVB). The proposed research focuses on a concatenated coding scheme that improve the performance of OFDM based wireless communications. It uses a Redundant Residue Number System (RRNS) code as the outer code and a convolutional code as the inner code. The bit error rate (BER) performances of the proposed system under different channel conditions are investigated. These include the effect of additive white Gaussian noise (AWGN), multipath delay spread, peak power clipping and frame start synchronization error. The simulation results show that the proposed RRNS-Convolutional concatenated coding (RCCC) scheme provides significant improvement in the system performance by exploiting the inherent properties of RRNS.

Analysis of EnterpriseVoIP Traffic from aWire line IMS System

With the rapid development of telecommunication industry, the IP multimedia Subsystem (IMS) could very well be the panacea for most telecom operators. It is originally defined as the core network for 3G mobile systems by the 3rd Generation Partnership Project (3GPP), the more recent development is merging between fixed line network and wireless networkd This report researchs the characteristic of the IMS data and proposes an IMS characterization analysis. We captured the IMS traffic data with 10 tousands users for about 41 hours. By analyzing the characteristics of the IMS, we know that the most important application in the IMS is VoIP call. Then we use the tool designed by Tsinghua University & Ericsson Company to recognize the data, and the results we got can be used to build the traffic models. From the results of the traffic models, I will get some reasons and conclusion. The traffic model gives out the types of session and types of VoIP call. I bring into a concept—busy hour. This concept is very important because it can help us to know which period is the peak of the VoIP call. The busy hour is from 10:00 to 11:00 in the morning. I also bring into another concept—connection ratio. This concept is significant because it can evaluate whether the VoIP call is good when it use IMS network. By comparing the traffic model with other one’s models, we found the different results from them, both the accuracy and the busy hour. From the contract, we got the advantages of our traffic models.

O modelo em rede aplicado à indústria de telecomunicações brasileira: o caso da TELEMAR

Virtual, cellular, modular, organic, holographic, networked enterprise. This is a new kind of organizational structure of growing importance inside of the enterprises that are looking for new models, attending to the requirements of flexibility, celerity and competitiveness. Requirements to the business of the future, for the new times of moving cycles, each time faster and faster. In that context, technological, cultural, strategic and human aspects are remodelled inside of the context of the called 'Information Era'. The objective of this work is to research how business, specially the Brazilians, are getting ready to be the 'organizations or enterprises' of the future. On the perspective of a virtual organization, throughout the flexibility, celerity and based on knowledge. Especially the Brazilian telecommunication industry, living the post privatization phase, which is in a process of organizational reestructuration, seeking to increase its competition in the globalized market. That is why, the analysis focus on Telemar, one of the largest in terms of geographic covering and investment power in the market and with essentially national shareholders.

O modelo em rede aplicado ao segmento de telecomunicações brasileiro - o caso TELEMAR

Empresa virtual, celular, modular, orgânica, holográfica, em rede. Este é um novo tipo de estrutura organizacional de crescente importância dentro das empresas que buscam novos modelos que atendam aos requisitos de flexibilidade, agilidade e competitividade. Requisitos estes impostos à empresa do futuro pelos novos tempos de ciclos de mudança cada vez mais rápidos. Neste contexto, os aspectos tecnológicos, culturais, estratégicos e humanos são redimensionados dentro do contexto da chamada Era da Informação. o objetivo do trabalho é pesquisar como as empresas, em especial as brasileiras, estão se preparando para ser organizações do futuro, sob a perspectiva de uma organização virtual, voltada para a flexibilidade, agilidade e baseada no conhecimento. Mais especificamente, a indústria de telecomunicações brasileira, vivenciando a fase pósprivatização, está no processo de reestruturação organizacional, buscando aumentar sua competitividade no mercado globalizado. Por essa razão, a análise recai sobre a TELEMAR, uma das empresas de maior abrangência geográfica e poder de investimento do mercado e com acionistas essencialmente nacionais. Maria

O impacto da convergência de indústrias na configuração da cadeia de valor em empresas na indústria de telecomunicações no Brasil : um estudo de caso

O mercado de telecomunicações mundial, em geral e brasileiro em particular, passou por mudanças significativas ao longo dos últimos dez anos, tanto em âmbito concorrencial, como regulatório. O modelo de serviço único prestado por empresas distintas foi transformado pela convergência de indústrias, com a criação de novas ofertas e proposições de valor a partir de um portfólio diversificado e complementar de serviços aos consumidores. Estes fatos criaram para as empresas que operam no setor a necessidade de revisão de suas cadeias de valor para adequarem-se à nova dinâmica da indústria. Ainda que esse processo venha ocorrendo ao longo dos últimos anos, há poucos estudos que procurem endereçar os impactos para a realidade brasileira. O propósito desse trabalho é o de avaliar os efeitos para a configuração da cadeia de valor que a convergência de indústrias no setor de telecomunicações brasileiro trouxe para o estudo de caso. Para endereçar a resposta à pergunta de pesquisa, primeiro é conduzida uma revisão teórica sobre a definição do setor de TICs (FRANSMAN, 2010), a relação com a indústria de telecomunicações e os aspectos que marcam o caso brasileiro. Em segundo, é feita a revisão teórica para as definições constitutivas relacionadas à convergência de indústrias (HACKLIN, F. et al., 2009), cadeia de valor (PORTER, 1985) e rede de valor (PIL e HOLWEG, 2006; MÖLLER e RAJALA, 2007; PARTANEN e MÖLLER, 2012). A partir da constituição teórica e a análise dos dados qualitativos pretende-se aplicar os conceitos ao estudo de caso brasileiro e verificar se há alguma configuração da cadeia de valor que seja referência para melhor lidar com os efeitos da convergência de indústrias. Como ferramenta de coleta de dados serão feitas entrevistas para constituir os aspectos mais relevantes das mudanças causadas pela convergência de indústrias e entender as transformações consequentes para as cadeias de valor.

Foreign Direct Investment in Latin America and the Caribbean 2007

Includes bibliography

Competencia y regulación en las telecomunicaciones: el caso de Nicaragua

Incluye Bibliografía

Mobility and Bandwidth Prediction as a Service in Virtualized LTE Systems

Recently telecommunication industry benefits from infrastructure sharing, one of the most fundamental enablers of cloud computing, leading to emergence of the Mobile Virtual Network Operator (MVNO) concept. The most momentous intents by this approach are the support of on-demand provisioning and elasticity of virtualized mobile network components, based on data traffic load. To realize it, during operation and management procedures, the virtualized services need be triggered in order to scale-up/down or scale-out/in an instance. In this paper we propose an architecture called MOBaaS (Mobility and Bandwidth Availability Prediction as a Service), comprising two algorithms in order to predict user(s) mobility and network link bandwidth availability, that can be implemented in cloud based mobile network structure and can be used as a support service by any other virtualized mobile network services. MOBaaS can provide prediction information in order to generate required triggers for on-demand deploying, provisioning, disposing of virtualized network components. This information can be used for self-adaptation procedures and optimal network function configuration during run-time operation, as well. Through the preliminary experiments with the prototype implementation on the OpenStack platform, we evaluated and confirmed the feasibility and the effectiveness of the prediction algorithms and the proposed architecture.