Proceedings of the 7th International Conference on Cognitive Radio Oriented Wireless Networks 2012
DOI: 10.4108/icst.crowncom.2012.248449
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Impact of deployment costs and spectrum prices on the business viability of mobile broadband using TV white space

Abstract: In this paper we analyze the business feasibility of mobile broadband access services using secondary access of spectrum in the TV bands. We use a capacity-cost analysis considering costs for radio equipment, base station sites and radio spectrum. We compare network deployment by a market entrant and an existing mobile operator using either licensed spectrum or TV white spaces. In addition, we compare the impact of high and low spectrum prices using examples from Sweden and India. The analysis shows that marke… Show more

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Cited by 8 publications
(5 citation statements)
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“…Here, we select a business case that is detailed in the following: Main actors: An existing mobile network operator (MNO) who has a strong incentive to offer significantly higher capacity to satisfy their customer's demands in indoor and hotspots locations. We consider the MNO in this study based on the argument in that a new entrant does not have a competitive edge over the existing MNO for deploying in shared spectrum. Problem: The MNO needs a solution that offers the best cost‐performance trade‐off because it has already been challenged by the revenue gap that refers to a discrepancy between soaring mobile data demand and dwindling revenue increase. Value proposition: Mobile broadband communications in the radar bands offloading traffic demands in indoor and hotspot environments where the volume is extremely high. …”
Section: Identifying Factors For Business Successmentioning
confidence: 99%
See 1 more Smart Citation
“…Here, we select a business case that is detailed in the following: Main actors: An existing mobile network operator (MNO) who has a strong incentive to offer significantly higher capacity to satisfy their customer's demands in indoor and hotspots locations. We consider the MNO in this study based on the argument in that a new entrant does not have a competitive edge over the existing MNO for deploying in shared spectrum. Problem: The MNO needs a solution that offers the best cost‐performance trade‐off because it has already been challenged by the revenue gap that refers to a discrepancy between soaring mobile data demand and dwindling revenue increase. Value proposition: Mobile broadband communications in the radar bands offloading traffic demands in indoor and hotspot environments where the volume is extremely high. …”
Section: Identifying Factors For Business Successmentioning
confidence: 99%
“…We can find substantial literature that studied individual aspects of vertical spectrum sharing: technical, regulatory and business aspects. For example, fundamental limits of the vertical sharing were investigated in , the regulatory and policy aspects were discussed in and the business side was looked into in . However, it is difficult to find a cross‐boundary study.…”
Section: Introductionmentioning
confidence: 99%
“…No matter the cost-capacity performance of CR equipment, a new operator needs to invest in a new infrastructure with sites and transmission. Only for cases where the spectrum costs are ''high'' (compared to other cost components) use of TW white spaces turn out to be more cost efficient for both existing operators and new operators [87].…”
Section: Case: Impact Of Deployment Costs and Spectrum Prices On The mentioning
confidence: 99%
“…No matter the cost-capacity performance of CR equipment, a new operator needs to invest in a new infrastructure with sites and transmission. Only for cases where the spectrum costs are ''high'' (comparedto other cost components) use of TW white spaces turn out to be more cost efficient for both existing operators and new operators[87].…”
mentioning
confidence: 99%
“…With the used assumption there is minimum for a specific amount of licensed spectrum.Besides the costs for sites, radio equipment and spectrum the result depends on the demand levels and the assumed coverage areas. Hence, we present a sensitivity Example of capacity and cost structure for different radio access technologies, for the CR the variations for capacity and radio costs depends on the amount of available bandwidth and uncertainty about radio complexity and implementation, from[87] 4 Economic Aspects of CR Policy and Regulation 61…”
mentioning
confidence: 99%