Spatio-temporal spectrum modeling: Taxonomy and economic evaluation of context acquisition

Weiss, Martin B. H.; Altamimi, Mohammed; Liu, Cui

doi:10.1016/j.telpol.2012.01.007

Cited by 18 publications

(17 citation statements)

References 19 publications

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“…This however assumes that such applications need spectrum only when the usage by the primary license holder is negligible. Similar temporal variations in availability of spectrum is discussed in [17].…”

Section: B Temporalmentioning

confidence: 55%

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: B Temporalmentioning

confidence: 55%

When is electromagnetic spectrum fungible?

Weiss

Krishnamurthy

Doyle

et al. 2012

2012 IEEE International Symposium on Dynamic Spectrum Access Networks

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“…There are numerous types of spectrum holes and context acquisition approaches (see [2,3] for a discussion and analysis). The service quality risk under this approach is higher than under cooperative sharing for two reasons: (1) the spectrum entrant relies on the probability that spectrum holes are available at a sufficient frequency and bandwidth [3,8] and, (2) the spectrum holes may need to be shared with other opportunistic users, so the throughput of those holes is uncertain. For the purposes of this paper, we are implicitly assuming stochastic, exogenous spectrum holes, though this analysis could apply easily to other kinds of exogenous spectrum holes as well.…”

Section: Spectrum Choicesmentioning

confidence: 99%

“…As summarized in Table 1, each method incurs an infrastructure cost and maintenance (IM) fee which can vary across methods. In addition to these costs, primary users must pay the upfront spectrum license fee, cooperative secondary users must pay a periodic spectrum leasing fee as long as they operate, and opportunistic secondary users have to invest in sensing before providing services (see [3]). …”

Section: Net Present Value Analysismentioning

confidence: 99%

“…[8]) have built some preliminary models using Markov and Semi-Markov chains. Considerably more work is needed in this arena to characterize and model real-world spectrum holes, cince the characteristics of spectrum holes have a significant impact [3].…”

Section: ) Cooperative Sharingmentioning

confidence: 99%

“…While these criticisms surely have some merit, there have been some notable contributions to this end (see, for example, [1][2][3][4][5]). …”

Section: Introductionmentioning

confidence: 99%

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The hinges of destiny: A decision analysis of spectrum users' choices

Weiss

Liu

2012

2012 IEEE International Symposium on Dynamic Spectrum Access Networks

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Abstract-Dynamic spectrum access (DSA) has been a technological approach that has received considerable research attention over the past decade. At the same time, the relative paucity of deployed systems using some of these technologies speaks to either a mismatch between research priorities and practical needs, regulatory immaturity, technology immaturity, or a combination of these. In this paper, we examine the business decision that a spectrum entrant must take with regard to technology choice. We use a simple decision-analytic framework using standard Net Present Value (NPV) calculations to analyze that decision. Our conclusion is that, using the rough cost estimates and a simple system model, that exclusive use offers a higher NPV than the alternatives.The second choice is cooperative sharing, followed by opportunistic sharing under optimistic spectrum availability and contention assumptions.If our assumptions are relatively close to reality, it is therefore not surprising that we do not see greater adoption of DSA technologies -it is not the top choice for spectrum entrants with a long term view. The second choice, cooperative sharing, does occur, but in the form of MVNO agreements. The last option for a spectrum entrant is opportunistic sharing. Why should an entrant settle for the third best approach? 

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Emerging issues in white space regulation

Freyens

Loney

2013

Telecommunications Policy

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Spatio-temporal spectrum modeling: Taxonomy and economic evaluation of context acquisition

Cited by 18 publications

References 19 publications

When is electromagnetic spectrum fungible?

When is electromagnetic spectrum fungible?

The hinges of destiny: A decision analysis of spectrum users' choices

Emerging issues in white space regulation

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