267 research outputs found

    Tariff-Mediated Network Effects versus Strategic Discounting: Evidence from German Mobile Telecommunications

    Get PDF
    Mobile telecommunication operators routinely charge subscribers lower prices for calls on their own network than for calls to other networks (on-net discounts). Studies on tariff-mediated network effects suggest this is due to large operators using on-net discounts to damage smaller rivals. Alternatively, research on strategic discounting suggests small operators use on-net discounts to advertise with low on-net prices. We test the relative strength of these effects using data on tariff setting in German mobile telecommunications between 2001 and 2009. We find that large operators are more likely to offer tariffs with on-net discounts but there is no consistently significant difference in the magnitude of discounts. Our results suggest that tariff-mediated network effects are the main cause of on-net discounts

    Game Theoretical Analysis of a Multi-MNO MVNO Business Model in 5G Networks

    Full text link
    This work has been supported by the Spanish Ministry of Science, Innovation and Universities (MCIU/AEI) and the European Union (FEDER/UE) through Grant PGC2018-094151-B-I00 and partially supported by Politecnica Salesiana University (Salesian Polytechnic University) in Ecuador through a Ph.D. scholarship granted to the first author.Sacoto Cabrera, EJ.; Guijarro, L.; Maillé, P. (2020). Game Theoretical Analysis of a Multi-MNO MVNO Business Model in 5G Networks. Electronics. 9(6):1-26. https://doi.org/10.3390/electronics9060933S12696Gruber, H. (2001). Competition and innovation. Information Economics and Policy, 13(1), 19-34. doi:10.1016/s0167-6245(00)00028-7Berne, M., Vialle, P., & Whalley, J. (2019). An analysis of the disruptive impact of the entry of Free Mobile into the French mobile telecommunications market. Telecommunications Policy, 43(3), 262-277. doi:10.1016/j.telpol.2018.07.007Nakao, A., Du, P., Kiriha, Y., Granelli, F., Gebremariam, A. A., Taleb, T., & Bagaa, M. (2017). End-to-end Network Slicing for 5G Mobile Networks. Journal of Information Processing, 25(0), 153-163. doi:10.2197/ipsjjip.25.153Son, P. H., Son, L. H., Jha, S., Kumar, R., & Chatterjee, J. M. (2019). Governing mobile Virtual Network Operators in developing countries. Utilities Policy, 56, 169-180. doi:10.1016/j.jup.2019.01.003Archivo Situacionista HispanoHttp://Www.Statista.Com/Statistics/671623/Global-Mvno-Market-Size/Lingjie Duan, Lin Gao, & Jianwei Huang. (2014). Cooperative Spectrum Sharing: A Contract-Based Approach. IEEE Transactions on Mobile Computing, 13(1), 174-187. doi:10.1109/tmc.2012.231Sacoto-Cabrera, E. J., Sanchis-Cano, A., Guijarro, L., Vidal, J. R., & Pla, V. (2018). Strategic Interaction between Operators in the Context of Spectrum Sharing for 5G Networks. Wireless Communications and Mobile Computing, 2018, 1-10. doi:10.1155/2018/4308913Samdanis, K., Costa-Perez, X., & Sciancalepore, V. (2016). From network sharing to multi-tenancy: The 5G network slice broker. IEEE Communications Magazine, 54(7), 32-39. doi:10.1109/mcom.2016.7514161Rost, P., Banchs, A., Berberana, I., Breitbach, M., Doll, M., Droste, H., … Sayadi, B. (2016). Mobile network architecture evolution toward 5G. IEEE Communications Magazine, 54(5), 84-91. doi:10.1109/mcom.2016.7470940Afolabi, I., Taleb, T., Samdanis, K., Ksentini, A., & Flinck, H. (2018). Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions. IEEE Communications Surveys & Tutorials, 20(3), 2429-2453. doi:10.1109/comst.2018.2815638Barakabitze, A. A., Ahmad, A., Mijumbi, R., & Hines, A. (2020). 5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges. Computer Networks, 167, 106984. doi:10.1016/j.comnet.2019.106984Khan, L. U., Yaqoob, I., Tran, N. H., Han, Z., & Hong, C. S. (2020). Network Slicing: Recent Advances, Taxonomy, Requirements, and Open Research Challenges. IEEE Access, 8, 36009-36028. doi:10.1109/access.2020.2975072Kim, D., & Kim, S. (2018). Network slicing as enablers for 5G services: state of the art and challenges for mobile industry. Telecommunication Systems, 71(3), 517-527. doi:10.1007/s11235-018-0525-2Foukas, X., Patounas, G., Elmokashfi, A., & Marina, M. K. (2017). Network Slicing in 5G: Survey and Challenges. IEEE Communications Magazine, 55(5), 94-100. doi:10.1109/mcom.2017.1600951Cricelli, L., Grimaldi, M., & Levialdi Ghiron, N. (2012). The impact of regulating mobile termination rates and MNO–MVNO relationships on retail prices. Telecommunications Policy, 36(1), 1-12. doi:10.1016/j.telpol.2011.11.013Shakkottai, S., & Srikant, R. (2007). Network Optimization and Control. Foundations and Trends® in Networking, 2(3), 271-379. doi:10.1561/1300000007Habib, M. A., & Moh, S. (2019). Game theory-based Routing for Wireless Sensor Networks: A Comparative Survey. Applied Sciences, 9(14), 2896. doi:10.3390/app9142896Su, R., Zhang, D., Venkatesan, R., Gong, Z., Li, C., Ding, F., … Zhu, Z. (2019). Resource Allocation for Network Slicing in 5G Telecommunication Networks: A Survey of Principles and Models. IEEE Network, 33(6), 172-179. doi:10.1109/mnet.2019.1900024Guijarro, L., Pla, V., Vidal, J. R., & Naldi, M. (2019). Competition in data-based service provision: Nash equilibrium characterization. Future Generation Computer Systems, 96, 35-50. doi:10.1016/j.future.2019.01.044Banerjee, A., & Dippon, C. M. (2009). Voluntary relationships among mobile network operators and mobile virtual network operators: An economic explanation. Information Economics and Policy, 21(1), 72-84. doi:10.1016/j.infoecopol.2008.10.003Caballero, P., Banchs, A., De Veciana, G., & Costa-Perez, X. (2019). Network Slicing Games: Enabling Customization in Multi-Tenant Mobile Networks. IEEE/ACM Transactions on Networking, 27(2), 662-675. doi:10.1109/tnet.2019.2895378Fantacci, R., & Picano, B. (2020). When Network Slicing Meets Prospect Theory: A Service Provider Revenue Maximization Framework. IEEE Transactions on Vehicular Technology, 69(3), 3179-3189. doi:10.1109/tvt.2019.2963462Fossati, F., Moretti, S., Perny, P., & Secci, S. (2020). Multi-Resource Allocation for Network Slicing. IEEE/ACM Transactions on Networking, 28(3), 1311-1324. doi:10.1109/tnet.2020.2979667Cooperation among Competitors: Network sharing can increase Consumer Welfarehttp://dx.doi.org/10.2139/ssrn.3571354Mendelson, H. (1985). Pricing computer services: queueing effects. Communications of the ACM, 28(3), 312-321. doi:10.1145/3166.3171Liu, C., Li, K., Xu, C., & Li, K. (2016). Strategy Configurations of Multiple Users Competition for Cloud Service Reservation. IEEE Transactions on Parallel and Distributed Systems, 27(2), 508-520. doi:10.1109/tpds.2015.2398435Liu, C., Li, K., Li, K., & Buyya, R. (2017). A New Cloud Service Mechanism for Profit Optimizations of a Cloud Provider and Its Users. IEEE Transactions on Cloud Computing, 1-1. doi:10.1109/tcc.2017.2701793Niyato, D., & Hossain, E. (2008). Competitive Pricing for Spectrum Sharing in Cognitive Radio Networks: Dynamic Game, Inefficiency of Nash Equilibrium, and Collusion. IEEE Journal on Selected Areas in Communications, 26(1), 192-202. doi:10.1109/jsac.2008.080117Guijarro, L., Vidal, J., & Pla, V. (2018). Competition in Service Provision between Slice Operators in 5G Networks. Electronics, 7(11), 315. doi:10.3390/electronics7110315Sacoto-Cabrera, E. J., Guijarro, L., Vidal, J. R., & Pla, V. (2020). Economic feasibility of virtual operators in 5G via network slicing. Future Generation Computer Systems, 109, 172-187. doi:10.1016/j.future.2020.03.044Mandjes, M. (2003). Pricing strategies under heterogeneous service requirements. Computer Networks, 42(2), 231-249. doi:10.1016/s1389-1286(03)00191-9Reynolds, S. S. (1987). Capacity Investment, Preemption and Commitment in an Infinite Horizon Model. International Economic Review, 28(1), 69. doi:10.2307/252686

    Supply-Push or Demand-Pull as Driver for Local Access Provisioning? - Initial Findings from Interviews with Market Actors

    Get PDF
    This paper analyzes push-pull initiatives of technological development by studying the concept of Novel Access Provisioning of new wireless Internet access to existing backbone infrastructure. The Novel Access Provisioning project is conducted within the Swedish techno-economic research project with participants from the Royal Institute of Technology (KTH), Stockholm School of Economics (SSE) and the Swedish Telecom Agency (PTS). This paper reports on the results from a series of interviews during the fall of 2005 with main representatives from within the Telecom Industry and outside in the Nordic market having an interest in the development and use of mobile services. The aim of the paper is to increase the understanding for why some innovations have a rapid rate of adoption while others are deployed more slowly

    Joho tsushin shijo ni okeru kokyaku no sentaku kodo no yoin ni kansuru kenkyu

    Get PDF
    制度:新 ; 報告番号:甲3513号 ; 学位の種類:博士(国際情報通信学) ; 授与年月日:2012/3/15 ; 早大学位記番号:新585

    Pricing strategies and competition in the mobile broadband market

    Get PDF
    This paper analyzes mobile broadband plan prices in 37 countries between 2011 and 2014. Mobile network operators typically commercialize usage-based plans that include an access fee, a usage allowance (number of GB included in the tariff plan), and a penalty system should consumers exceed the contracted allowance. Our empirical model shows that the prices of these plans are lower than those of unlimited contracts, and that they depend on the type of penalty that is used. The prices also reflect service characteristics, including the technology provided, the download speed, and telephone call allowances. Plans that bundle mobile broadband plans with smartphone devices have longer contract duration and may be more expensive than plans that only include a SIM card. Specifically, broadband service plans are priced higher when they include an iPhone or a Samsung smartphone. The paper also discusses the impact of market structure and entry regulation on prices

    Diagnosis of the problems of segmentation and relationships development of the cellular service and Internet communications market in Ukraine

    Get PDF
    The subject of the study is the analysis of the marketing strategy of large and medium-sized companies in Ukraine and worldwide which operate in the telecommunications sector. The purpose of the study is to review and provide characteristics of the telecommunications industry in Ukraine. This paper defines the place and role of marketing segmentation in mobile communications and the Internet market. The characteristics of the mobile communications market in Ukraine are compiled and examples of structural market transformations worldwide are analyzed. The measures for the restructuring of the market are proposed. The results of the study lead to the following conclusions: a set of strategies for the effective development of market segmentation which can be applied in Ukraine is highlighted; possible measures for structural adjustment of the market are proposed

    A complex systems perspective on innovation, investment and regulation of evolving telecommunications networks

    Get PDF
    This thesis is a Doctoral Thesis of the International Executive Doctorate Programme (DBA) at the School of Management, Cranfield University, UK. The purpose of the study is to present the results of the research dedicated to the topic of Infrastructure Sharing, a common method to make use of the limited infrastructure resources of many stakeholders. The research aims to develop a decision support tool for a National Regulating Authority (NRA) on the basis of a software simulation representing infrastructure in use as complex systems consisting of agent and infrastructure networks. By applying a computational Agent-Based Modelling (ABM) approach to policy decisions, i.e. influence of Duct and Pole Access (DPA) to incumbent telecommunication infrastructures, the research investigates regulatory considerations that stimulate the development of alternative networks. The final deliverable of the research is a simulation tool that provides a solid foundation for simulating experiments, which allows analysis of demand for broadband services by different subgroups of users. The results of the study are of value for regulators, practitioners, representatives of telecommunication and other network industries, and scholars who deal with the topic of sustainable infrastructure development and recognise the value of a complex system perspective
    corecore