On the engineering value of spectrum in dense mobile network deployment scenarios

Ahmed, Ashraf Awadelkarim Widaa; Yang, Yongrong; Sung, Ki Won; Markendahl, Jan

doi:10.1109/dyspan.2015.7343922

Cited by 6 publications

(7 citation statements)

References 7 publications

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“…Studies on engineering value ([5]- [7], [14], [36]- [39]) clearly highlight cost-centric views and are concerned with the saving in the total cost of ownership from the availability of additional spectrum. Economic value ( [8], [12], [14], [16], [37]- [38], [40]- [41]) has attracted most attention by scholars and provides a comprehensive approach that considers expected future profits from the use of services offered through spectrum.…”

Section: A Analysis Of Existing Spectrum Valuation Approachesmentioning

confidence: 99%

“…Traditional approaches to spectrum valuation have considered engineering value, economic value and strategic value as the main value-related elements. Engineering value considers the cost savings in the infrastructure that an operator can achieve by gaining access to additional spectrum [5]- [7]. Economic value has a wider perspective and considers the value arising from the services that are provided for use through the availability of the spectrum, in terms of the predicted future profits that can be earned by the services offered [8].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Spectrum Valuation Elements for Local 5G Networks: Case Study of 3.5-GHz Band

Matinmikko-Blue

Yrjölä

Seppänen

et al. 2019

IEEE Trans. Cogn. Commun. Netw.

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Radio spectrum is a scarce natural resource, whose efficient management calls for a thorough understanding of its value. A number of spectrum valuation approaches has emerged considering different elements, some with potentially high uncertainty as future profits, total cost of ownership and societal benefits. Spectrum valuation is important in regulators' 5G spectrum decisions and will face a new situation, where location specific services and higher carrier frequencies give rise to local network operator models. This paper analyses the existing spectrum management and spectrum valuation approaches and identifies key elements to consider, when defining and assessing the value of spectrum especially in the context of future local 5G networks. The growing pressure to open the mobile market for location and vertical specific 5G networks promotes new sharingbased spectrum access models, to allow the emergence of local 5G operators. We characterize the identified spectrum valuation elements in the context of these new local 5G networks from the perspectives of the different stakeholder roles including regulators, mobile network operators (MNOs) and entrant local 5G operators. We further present a spectrum valuation case study of the recent 5G spectrum decisions in the 3.5 GHz band in different countries.

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Section: A Analysis Of Existing Spectrum Valuation Approachesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of Spectrum Valuation Elements for Local 5G Networks: Case Study of 3.5-GHz Band

Matinmikko-Blue

Yrjölä

Seppänen

et al. 2019

IEEE Trans. Cogn. Commun. Netw.

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“…The valuation approaches belonging to these main categories are presented under them. [7], [14], [36]- [39]) clearly highlight cost-centric views and are concerned with the saving in the total cost of ownership from the availability of additional spectrum. Economic value ( [8], [12], [14], [16], [37]- [38], [40]- [41]) has attracted most attention by scholars and provides a comprehensive approach that considers expected future profits from the use of services offered through spectrum.…”

Section: A Analysis Of Existing Spectrum Valuation Approachesmentioning

confidence: 99%

Analysis of Spectrum Valuation Approaches: The Viewpoint of Local 5G Networks in Shared Spectrum Bands

Matinmikko-Blue

Yrjölä

Seppänen

et al. 2018

2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)

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Radio spectrum is a scarce natural resource, whose efficient management calls for a thorough understanding of its value. Quite a big number of approaches have emerged for spectrum valuation based on different elements, some with such potentially high uncertainty as future profits, total cost of ownership and societal benefits. Spectrum valuation will be important for the upcoming spectrum decisions by the regulators to deploy 5G networks but will face a new situation, where the use of higher carrier frequencies inherently limits network operations to local areas. This paper analyses the existing spectrum valuation approaches and identifies the key elements to consider, when defining and assessing the value of spectrum especially in the context of future local 5G networks. An important aspect is that the growing pressure to open the mobile market for location specific 5G networks has resulted in new sharing-based models for spectrum access, to allow the emergence of entrant local 5G operators to serve different verticals. We will therefore characterize the identified spectrum valuation elements in the new context of new local 5G networks operating in shared spectrum bands. Our approach considers spectrum valuation for 5G from the perspectives of the different stakeholder roles including regulators, mobile network operators (MNOs) and entrant local 5G operators.

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“…NUMERICAL RESULTS AND DISCUSSION Having derived analytical results for the case of independently distributed networks of |N | operators, we now focus our analysis of resource sharing trade-offs on the case |N |= 2. This allows us to model clustered multi-operator deployments using the Gauss-Poisson process (GPP) [33], which simplifies analysis of inter-operator clustering 6 . In the GPP, clusters of points are distributed according to a PPP with intensity λ.…”

Section: Sharing Spectrum Bands Under Frequencyselective Fadingmentioning

confidence: 99%

“…In the literature to date mobile network resource sharing has been analyzed from the perspective of techno-economic feasibility, a multi-operator resource allocation problem, or a simulation-based performance study. The techno-economic feasibility of sharing was thoroughly analyzed in the works of Markendahl et al (see, for example, [5], [6]). Mobile network resource sharing in the form of a multioperator resource allocation problem was studied in a number of articles that tackle infrastructure allocation [7]- [9], spectrum allocation [10], [11], virtual resource sharing [12], or the interchangeability between infrastructure and spectrum resources [13], [14].…”

mentioning

confidence: 99%

Radio Access Network and Spectrum Sharing in Mobile Networks: A Stochastic Geometry Perspective

Kibiłda

Kaminski

DaSilva

2017

IEEE Trans. Wireless Commun.

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Abstract-Next generation mobile networks will rely ever more heavily on resource sharing. In this article we study the sharing of radio access network and spectrum among mobile operators. We assess the impact of sharing these two types of resources on the performance of spatially distributed mobile networks. We apply stochastic geometry to observe the combined effect of, for example, the level of spatial clustering among the deployed base stations, the shared network size, or the coordination in shared spectrum use on network coverage and expected user data rate. We uncover some complex effects of mobile network resource sharing, which involve non-linearly scaling gains and performance trade-offs related to the sharing scenario or the spatial clustering level.

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On the engineering value of spectrum in dense mobile network deployment scenarios

Cited by 6 publications

References 7 publications

Analysis of Spectrum Valuation Elements for Local 5G Networks: Case Study of 3.5-GHz Band

Analysis of Spectrum Valuation Elements for Local 5G Networks: Case Study of 3.5-GHz Band

Analysis of Spectrum Valuation Approaches: The Viewpoint of Local 5G Networks in Shared Spectrum Bands

Radio Access Network and Spectrum Sharing in Mobile Networks: A Stochastic Geometry Perspective

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