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The importance of analyzing different business models and technologies in the mobile industry has become more crucial for the investment policy of the telecom operators. This paper aims to cover some of the most interesting business alternatives in providing the new 3G and beyond services including cases where the operator already has an existing second-generation cellular network and perhaps even a license for the 3G UMTS network, and cases where the operator does not have any existing network. Three cases for incumbents and new entrants are foreseen, leaving alternatives for new competing 3G technology deployment or acting as a mobile virtual network operator (MVNO) without owning any radio infrastructure. A techno-economic approach has been used to identify business opportunities and quantify the potential profitability of different kind of business players. The scenarios have been analyzed in the Western European context by different country groups that are not exactly representative of any defined country, but rather share typical demographic characteristics.

This paper presents the technoeconomic evaluation of a third generation rollout scenario followed by the identification of the market conditions for two operators in a simple game theory model. The considered scenarios reflect the point of view of both dominant operators and new entrants. Technoeconomic results are presented in terms of net present value (NPV), acting like the pay-off function in the proposed theoretical Game Theory model. The business case presented here was studied by using a tool, developed by European Projects IST-25172 TONIC/ECOSYS, a model developed by the EURESCOM P901 project and the Game Theory Tool named Gambit.

Three business case scenarios in the context of emerging mobile access network technologies and business players have been studied and the economical results are presented. The aim is to cover some of the most interesting business alternatives in providing the new 3G and beyond services including cases where the operator may have an existing second-generation cellular network or not, and a license for the 3G UMTS network or not. The scenarios have been analyzed in different Western European country groups that are not exactly representative of any defined country, but rather share typical demographic characteristics. Investments and operational expenditures are identified and the results show how diverse business models and technologies lead to different revenue, cost, and profitability profiles. The business case scenarios include incumbent's 3G evolution with UMTS compared to an alternative 3G technology deployment with mobile WiMAX, new entrant's UMTS deployment business case, and a greenfield CDMA450 deployment business case.

The paper assesses the market conditions and dynamics, the architectures and the different approaches for deployment of 3G Mobile Virtual Network Operators (MVNOs), in an attempt to address specific advantages and pitfalls. Following the definition of appropriate service sets and tariff structures, and taking into account demand scenarios, a techno-economic model has been developed, in order to compute key economic indicators. The paper presents techno-economic results of specific business cases and deployment alternatives for an average "large" European country and a smaller, Nordic-type country. Fixed and variable costs have been identified and the business case shows how different service sets lead to different costs. Different MVNO business profiles have been investigated. Profitability for all scenarios and business profiles has been calculated, presented and discussed. Major opportunities and threats, as well as critical parameters and uncertainties have been identified through sensitivity analysis.

The globally observed recession of mobile services market has pushed mobile network operators into looking for opportunities to provide value-added services on top of their high cost infrastructures. Latest advances in self and network-assisted positioning technologies, enable the provision of services that make use of the actual mobile user location. This paper presents the key points and considerations of a detailed approach for designing, developing and evaluating a very low-cost infrastructure, capable of providing tourism content related location-based services. The main effort is taken into allowing the potential integration of various market and technology stakeholders into such services, thus supporting open business models, while at the same time safeguarding end-user privacy.

This article outlines the economic feasibility of mobile operators that combine nationwide mobility with 3G networks and hot spot coverage withWLANS, WLANS are based onHIPERLAN/2 architecture and theUMTS network exploitswCDMA/FDD technology. The evaluated business scenarios are focused on two different deployment areas, in terms of demographic characteristics and mobile penetration: a large and a small European country. The business case spans 2002 to 2011 withUMTS’ roll-out year in 2002 andWLAN’s in 2004, covering indoor hot-spot areas (stations, airports, stadiums, etc.) where demand is high. The demand for thisUMTS-WLAN roaming case is evaluated based on observations from Europe’s current mobile market and its evolution. Usage scenarios of different service packages corresponding to both residential and business markets have been taken into account. Direct investments and operational costs as well as revenue streams from traffic have been calculated. The methodology and the tool developed inACTS-TERA [1] andIST-TONIC [2] projects have been utilized for this case study. Economic conclusions have been derived, presented and discussed using key profitability factors. Profitability for all scenarios and business profiles has been calculated, presented and discussed. It includes a sensitivity analysis in order to identify the major opportunities and threats, for specific service sets as well as critical parameters and uncertainties. A wide audience from mobile operators and service providers to retail companies interested in entering the 3G market, can exploit this information.