The viability of spectrum trading markets

Caicedo, Carlos; Weiss, Martin B. H.

doi:10.1109/mcom.2011.5723799

Cited by 43 publications

(47 citation statements)

References 5 publications

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“…In [1], the authors propose a "viability score" to assess the general viability of alternative approaches to spectrum trading markets. The use of such a score enabled them to combine a variety of measures into a single metric that enabled comparison across scenarios.…”

Section: Towards a "Fungibility Score"mentioning

confidence: 99%

“…With a transmit power of 1000 kW (= 90 dBm), the interfering signal starts at 77 dBm. Assuming additional losses totaling 100 dB with geographical distances and other factors, the perceived interference could still be as high as -23 dBm 1 . This can reduce the coverage in the lower A block by a significant factor.…”

Section: A the 700 Mhz Bandsmentioning

confidence: 99%

“…This also assumes that the two sets have identical prices and that frequency tunability is not a problem since the frequencies are close. Finally, the hardware costs for operating in the lower A bands are likely to be larger in reality because most operators 1 Of course, this is unlikely since better pulse shapes and filters are likely to be employed by the TV transmission to contain its bandwidth and the transmit power may not be as high either.…”

Section: A the 700 Mhz Bandsmentioning

confidence: 99%

“…Secondary markets for radio spectrum are seen as a step toward continuous reassignment of radio spectrum to its highest purpose and to enable correct valuation of wireless service providers [1]. The fungibility of electromagnetic spectrum has been broadly recognized to be a requirement of feasible spectrum markets [1]- [6].…”

Section: Introductionmentioning

confidence: 99%

“…The fungibility of electromagnetic spectrum has been broadly recognized to be a requirement of feasible spectrum markets [1]- [6]. At the same time, conventional wisdom among researchers and policymakers questions whether the fungibility requirement holds in practice.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

When is electromagnetic spectrum fungible?

Weiss

Krishnamurthy

Doyle

et al. 2012

2012 IEEE International Symposium on Dynamic Spectrum Access Networks

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Abstract-Fungibility is a common assumption for marketbased spectrum management. In this paper, we explore the dimensions of practical fungibility of frequency bands from the point of view of the spectrum buyer who intends to use it. The exploration shows that fungibility is a complex, multidimensional concept that cannot casually be assumed. We develop two ideas for quantifying fungibility -(i) of a fungibility space in which the "distance" between two slices of spectrum provides score of fungibility and (ii) a probabilistic score of fungibility.

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Section: Towards a "Fungibility Score"mentioning

confidence: 99%

Section: A the 700 Mhz Bandsmentioning

confidence: 99%

Section: A the 700 Mhz Bandsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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When is electromagnetic spectrum fungible?

Weiss

Krishnamurthy

Doyle

et al. 2012

2012 IEEE International Symposium on Dynamic Spectrum Access Networks

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Matching theory as enabler of efficient spectrum management in 5G networks

Tsirakis

López-Aguilera

Agapiou

et al. 2019

Trans Emerging Tel Tech

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This paper analyzes the spectrum trading problem in virtualized fifth generation networks to enhance the network performance with respect to the spectrum utilization. The problem is modeled as a many‐to‐many matching game with utility‐based preferences and determines the matching between mobile network operators and mobile virtual network operators. The two proposed versions of utility functions for each set aim at maximizing the satisfaction of both sets with conflicting interests and improving the overall spectrum efficiency. In the simulation evaluation, the proposed scheme is compared with three different schemes in terms of the system utility, individual, and pair matching satisfaction. We also investigate the scalability aspects, the strategy plan impact on the matching performance of our proposed scheme, and at the same time, we attempt to make appropriate assumptions closer to reality. Our proposed scheme shows much better performance than the other schemes achieving a quite high level of satisfaction for the matching result on both sets.

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Deployment Scenarios for Cognitive Radio

Nardis

Holland

2014

Signals and Communication Technology

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This chapter presents a selection of potential deployment and application scenarios for Cognitive Radio and Software Defined Radio. The chapter goes beyond a simple review of scenarios by focusing on the viewpoint of several key players in wireless communication research and applications: regulators, researchers from the engineering and economic/business community, industrial partners and companies, either directly or through their involvement in national and EU-funded European projects. In this framework, two key issues related to scenario definition are addressed:\ud • An analysis of players that determine the evolution of scenarios, including both technical and economic/business aspects;\ud • Study of approaches for classification of CR deployment scenarios, with the aim of identifying a set of elements that allow creating taxonomy capable of fit-ting existing and new scenarios relevant to CR and SDR.\ud The chapter opens with an analysis of scenarios as proposed by ITU (Section 2.1, authored by Mustonen and Matinmikko), followed by the vision of a wide set of EU projects on CR scenarios (Section 2.2, by Matinmikko and Paavola). The im-pact of different regulatory and environmental conditions on application sce-narios is addressed in Section 2.3, where Sridhar and Basaure provide a compari-son between feasible scenarios in India and Finland. Section 2.4, by Mueck, Sri-kanteswara, Macdonald and El-Refaey, moves to the analysis of upcoming scenar-ios in Europe focusing on the concept of Licensed Shared Access as defined based on activities carried out in ETSI and CEPT. \ud Next, the chapter moves to aspects related to planning and classification of scenar-ios. In section 2.5 Medeisis and von der Emden propose a scenario plan-ning methodology aiming to support planning and classification of scenarios for Cogni-tive Radio and to help identify relevant business models. In Section 2.6 Medeisis, Holland and De Nardis propose an approach to the definition of a taxonomy of CR application scenarios, aiming at fitting present and future applications in a coher-ent framework. Finally, Section 2.7 by Cesar Gutierrez and Hamid Reza Karimi offers an example of very practical application scenario for deployment of White Space Devices in TV Bands as established by a harmonised European standard EN 301 598

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The viability of spectrum trading markets

Cited by 43 publications

References 5 publications

When is electromagnetic spectrum fungible?

When is electromagnetic spectrum fungible?

Matching theory as enabler of efficient spectrum management in 5G networks

Deployment Scenarios for Cognitive Radio

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