Telecom Operators In China Research Articles

Accurately Modeling Zero-Bias Diode-Based RF Power Harvesters With Wide Adaptability to Frequency and Power

This paper proposes an analytical method for effectively evaluating the performances of zero-bias diode-based RF power harvesters. The method allows the accurate calculation of both the diode power conversion efficiency (PCE) and matching efficiency, while showing the wide adaptability to frequency and input power. To calculate the diode PCE accurately, the junction voltage is built based on modeling the diode junction capacitance and turn-on voltage. Using the accurate diode PCE, the equivalent nonlinear resistance of the diode is calculated, and thus the diode impedance is obtained. This helps to design a matching network with required bandwidths and evaluate the corresponding matching efficiency. The total PCE of the RF power harvester is finally obtained by multiplying the diode PCE and matching efficiency. For verification, dual-band RF power harvesters based on diodes of SMS7630 and HSMS-2850 are developed to cover the two 5G frequency bands for three telecom operators in China (2.515-2.675, 3.4-3.5 & 3.5-3.6 GHz). They are designed to operate in the low power range of −25-−5 dBm for low power harvesting scenarios. Compared with the simulated results, the calculation discrepancy of less than 3.12% can be achieved in evaluating the total PCEs of the RF power harvesters. Prototypes of the designed RF power harvesters were fabricated and measured for validation. It shows that the proposed analytical method can provide design guidelines for developing a multi-band RF power harvester.

Sustainable growth research – A study on the telecom operators in China

In recent years, the telecom industry has faced digital transformation challenges and fierce market competition. The challenges push telecom operators to grow their subscriber bases by offering lower prices and improved services and new features, which puts pressure on operators’ profitability. In addition, the rise of Internet companies gradually erodes the profit of the traditional telecom operators. Therefore, paying attention to the critical factors impacting firm sustainable growth can help operators get out of the predicament. Based on the resource-based view (RBV), this study explores the factors that influence the firm sustainable growth. Multiple regression model is applied to empirically test the hypotheses with longitudinal time-series panel data from major telecom operators in China. The study provides empirical evidence for sustainable growth research and useful insights for practitioners on the way to keep sustainable growth.

Switching costs and benefits affect user resistance in project implementation: Roles of positive emotions and user traditionality

In this study we investigated how perceived switching costs and benefits influence user resistance as a major cause of information systems project implementation failure, from the perspectives of individual emotions and traditional values. We used structural equation modeling and hierarchical regression analysis to analyze data from 256 potential users of a new information system. Participants were employed by a telecom operator in China. Results indicated that positive emotions played a partial mediating role in the relationship between perceived switching costs and benefits and user resistance. Further, user traditionality moderated the influence of perceived switching costs and benefits on user resistance. These findings have theoretical implications and we suggest practical ways in which managers can alleviate user resistance.

Causal analysis of determinants influencing the Economic Value Added (EVA) – a case of Polish entity

(ProQuest: ... denotes formulae omitted.)IntroductionIn recent years, we have seen more and more pressure on the boards of companies to show a rise in the value of their company in the context of shareholder value. Shareholders are directly interested in the size of generated values. Managers should systematically follow information about value of the company, so that they would be able to make financial, organizational, marketing and allocative decisions through which an increase in company value will be obtained.The book value of the company illustrates the value of its assets in terms of the balance sheet on a specific day, which is a major drawback of such an as- sessment because it relates to historical data, and an analysis based upon them is retrospective in nature. The economic value informs about the profitability strength of the company within a given time horizon, which increases the usefulness of this instrument in the process of managerial decisions.Management aimed at increasing the economic value requires determining and understanding factors, on which the generated value depends. For this purpose, it is necessary to perform analysis with different degrees of detail. Such an analysis can be carried out at the level of the basic equation for the economic value, or this equation can be transformed analogically to the du Pont formula. Also, an analysis can be conducted according to the most basic components that create the ultimate economic value (starting with revenues from sales and incurred variable and fixed costs). It is difficult to say what level of detail is the best. It seems that in each case the decision should be taken by decision makers.The aim of this article is to use a modified method of partial differences with Taylor series to explain the impact of various factors on the EVA change on the example of one of the largest companies in the mining and metallurgical industry in Poland. Using this method, managers are acquainted with not only factors influenced the EVA change, but also the extent to which these factors explain changes. This will allow them (where possible) to react and control some factors that influence the growth of EVA. In most cases, calculations can be limited to determining the effect of individual factors, although in some cases the effect of combined factors should be identified.The assumption is that although it can be to some extent determined which factors affect the EVA change, every company is in a different financial condition, so the impact of various factors on the EVA change is different. Majority of methods is based on a regression analysis made for a smaller or larger group of companies. Usually the analyses concern specific sector of publicly listed companies, e.g. China's Security Market [Chen & Qiao 2008], Telecom Operators in China [Li & Tang 2011], Consumer Product Sector (Indian Market) [Deene & Balappa 2007], JSE Securities Exchange (South Africa) [Hall 2002], Indonesia Stock Exchange [Khadafi & Heikal 2014], Bucharest Stock Exchange Market [Tabara & Vasiliu 2013]. However, the results presented in these studies differ (sometimes) significantly. One can therefore conclude that the factors influencing EVA vary in different countries and different sectors. According to the author, these factors are also different for each company. Therefore, it seems that it is pointless to use regression analysis for a set of companies. These factors should be identified for each company individually. For this purpose, the deterministic methods of cause and effect analysis can be used, however, their limitation should be taken into account. Among these methods, perhaps only consecu- tive substitution method is used to determine the factors of EVA change [Bluszcz & Kijewska 2016; Trandafir 2015; Petrescu & Apostol 2009; Burja & Burja 2009]. While this method is relatively simple, the influence of substitutions order on the results is its disadvantage. …

Enhancing Telco Service Quality with Big Data Enabled Churn Analysis: Infrastructure, Model, and Deployment

The penetration of mobile phones is nearly saturated in both developing and developed regions. In such a circumstance, how to prevent subscriber churn has become an important issue for today’s telecom operators, as the cost to acquire a new subscriber is much higher than that to retain an existing subscriber. In this paper, we propose to leverage the power of big data to mitigate the problem of subscriber churn and enhance the service quality of telecom operators. As the information hub, telecom operators have accumulated a huge volume of valuable data on subscriber behaviors, service usage, and network operations. To enable efficient big data processing, we first build a dedicated distributed cloud infrastructure that integrates both online and offline processing capabilities. Second, we develop a complete churn analysis model based on deep data mining techniques, and utilize inter-subscriber influence to improve prediction accuracy. Finally, we use real datasets obtained from a large telecom operator in China to verify the accuracy of our churn analysis models. The dataset contains the information of over 3.5 million subscribers, which generate over 600 million call detail records (CDRs) per month. The empirical results demonstrate that our proposed method can achieve around 90% accuracy for T + 1 testing periods and identify subscribers with high negative influence successfully.

Research on Integrated Information Service of Telecom Operators in EVC

Full-service operations competition is going on among Chinese telecom operators. How to offer integrated information service and acquire competitive advantage has become a new research topic. So this paper focuses on the integrated information service, proposes the eco-industrial value chain oriented view for telecom operator and builds the model of integrated information service quality based on SERVQUAL to help China telecom operators make the integrated information service strategies and tactics in dynamic eco-industrial value chain.

Development Strategies of Data Business for China Telecom Operators in the Background of Mobile Internet

The thesis firstly analyzes challenges and opportunities of mobile internet: the business model will be subverted; the core business will be alternated and the value of network resource will be lowered. In addition to that, operators can enhance pipeline intelligence and rebuild the correlation of traffic growth and revenue growth. Secondly the thesis gives the advice of enhancing network capabilities and improving the value of pipeline. Operators should vigorously develop the network resource, enhance core competitiveness and create core values. Thirdly, operators can create content and applications platform: To establish mobile SNS platform, which will become the most important type of business, because it has more accurate simulation of social relations. To develop App Store, which is of strategic significance to china operators, because the new software applications can reach consumers in the fastest pace? To develop new network communications and explore innovative services such as voice messaging, video calls and so on

Estimating the energy saving potential of telecom operators in China

A set of models are employed to estimate the potential of total energy saved of productions and segmented energy saving for telecom operators in China. During the estimation, the total energy saving is divided into that by technology and management, which are derived from technical reform and progress, and management control measures and even marketing respectively, and the estimating methodologies for energy saving potential of each segment are elaborated. Empirical results from China Mobile indicate that, first, the technical advance in communications technology accounts for the largest proportion (70%–80%) of the total energy saved of productions in telecom sector of China. Second, technical reform brings about 20%–30% of the total energy saving. Third, the proportions of energy saving brought by marketing and control measures appear relatively smaller, just less than 3%. Therefore, China's telecom operators should seize the opportunity of the revolution of communications network techniques in recent years to create an advanced network with lower energy consumption.

China Next-Generation Information Technology (NGIT) Networks Implementation

In March 2011, China released its 12th Five-Year Plan, (FYP, 2011-2015) which contains road maps and goals to guide industries and local government for the implementation of the plan and the outcome will then be evaluated. Willy Shih, professor of Harvard Business School, listed eleven items for the Next Generation Information Technology (NGIT), which is one of the seven Strategic Emerging Industries (SEIs) that government will support in this plan and it is expected these targeted seven priority industries will increase GDP contribution from 2% to 8% by 2016 and 15% by 2020, and will be supported by a budget allocation of RMB 10 trillion (USD. 1.52 trillion) over the five year period. The main NGIT items include: Next-generation mobile communications, Next-generation core Internet equipment, Convergence of Telecom/ Cable TV/ Internet networks, Cloud Computing, etc. From a user point of view: Users today will want information available right away, and don’t care how the digital data is transferred or through which channels. Therefore, we looked at this as one giant system functioning together. The whole system’s functionality, including the policy, is the main reason for attaining the sustainability of the telecom industry’s future growth. The Objective of this paper is to try to examine the sustainability for future China telecom operators’ growth, and the China NGIT future operations will depend on the policies and regulations that government will practice. The sustainability can be categorized under several areas: the new technology including new standards has to be feasible, new services and new content has to be generated, new customers have to be created and most importantly new regulations and policies have to be in place. The sustainability relies also on the social-technical-economic factors; the new policies on these related areas in the 12th FYPs will be discussed. The Actor-Network Theory (ANT) used as an important tool for the case study in this paper it will be used to explain how the China governmental departments worked together to create a new policy or made new decisions in the past? The formation of the 12th FYPs and its main content along with three related cases studies will be discussed. Will these current Chinese ways still be sustainable in the future? Suggestions will be made followed by the Fair Division Problem Solution of the Corporative Game Theory to fit the special competition environment that China had. For example: three Telecom Operators working under the supervision of government and possessing most of the resources of the country for transferring information including: spectrums/ fiber backbones (land & ocean), but the division for the subscribers of these three telecom operators was not equally spread. (By March, 2012. Mobile Subscribers for China Mobile were 667million, China Unicom had 209million, China Telecom had 135million.) The Chinese government’s main concern was security of the information, for example, in China officially there was neither 3 X movies nor violent ones and the content on the web would be blocked if it was deemed inappropriate. The government also seriously monitored the telecom market’s healthy competition environment. Will this be enough for growth?The heuristic analysis and insights in this paper are based on achievable public information and documents such as China Daily, Marbridge Daily, available Web pages and interviews. The interesting trend predicted was that the three telecom operators seemed to be moving towards the Golden Rule from the subscriber number division? China is a developing country, the political system and economic path were all different from others, but still many ways and experiences can be shared and lessons can be learned for other countries. Investor opportunity is huge, but the mind set has to change and a new way of thinking adopted.

China telecom operators: Applications platform overview

China telecom operators: Applications platform overview