An analytic research on secondary-spectrum trading mechanisms based on technical and market changes

Yoon, Hyenyoung; Hwang, Junseok; Weiss, Martin B. H.

doi:10.1016/j.comnet.2011.05.017

Cited by 11 publications

(11 citation statements)

References 21 publications

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“…This issue is addressed in [11,85]. In particular, in [11], this effect of competition can be seen in a comparative study of secondary-use frameworks (auction, pricing and brokerage).…”

Section: Oligopolymentioning

confidence: 98%

“…This issue is addressed in [11,85]. In particular, in [11], this effect of competition can be seen in a comparative study of secondary-use frameworks (auction, pricing and brokerage). The authors also propose and analyze the effect of a maximum amount of spectrum trading on the different frameworks and show when each of them is more convenient to use depending on the state of maturity of the market.…”

Section: Oligopolymentioning

confidence: 98%

“…Nevertheless, adopting a spectrum trading market could also cause the opposite result if is not properly crafted, that is, undermining the competition structure, by giving rise to collusive behaviors and/or service providers becoming monopolists (see the introduction of Sect. 5.2 and [11], especially its Sect. 5.2 ''Comparison of competition: tipping effects'').…”

Section: Motivation Of Automated Spectrum Tradingmentioning

confidence: 99%

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Automated spectrum trading mechanisms: understanding the big picture

et al. 2014

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Public regulatory agencies have traditionally assigned radio-electric spectrum in a static way. This has led to an almost fully assigned but sparsely and unevenly used spectrum, in which it is becoming more difficult to accommodate the increasing demand of wireless communication. This work presents a general view of automated spectrum trading, one of the mechanisms proposed to improve spectrum efficiency. Licensed operators would be able to lease their unused bandwidth to unlicensed ones in secondary markets, satisfying real time demands from users. This results in a higher and more dynamic use of spectrum while providing incentives to spectrum owners for allowing secondary users to access their unused spectrum. Several approaches can be found in this research area combining game theory, economic models and auction design, among others. We describe and organize the main objectives and challenges of spectrum trading, and present a comprehensive classification and explanation of the existing research lines, showing how different works addressed each relevant issue, discussing the benefits and drawbacks of each approach. Finally, we highlight future research trends in this topic and identify critical but possibly overlooked problems.

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“…This issue is addressed in [11,85]. In particular, in [11], this effect of competition can be seen in a comparative study of secondary-use frameworks (auction, pricing and brokerage).…”

Section: Oligopolymentioning

confidence: 98%

Section: Oligopolymentioning

confidence: 98%

Section: Motivation Of Automated Spectrum Tradingmentioning

confidence: 99%

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Automated spectrum trading mechanisms: understanding the big picture

et al. 2014

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“…Here, we employ the direct form of the trading market, where the operators are free to sell the desired amount of spectrum to the end-users at the negotiated price [6]. Note that there is no broker placed in the middle of the financial interactions between the operators and the end-users.…”

Section: Agent-based Model Of the Taxation In The Real-time Spectrum mentioning

confidence: 99%

“…Note that there is no need to have any long-term pre-paid contracts registered at the local operator, and that the end-users could benefit from the existence of the real-time secondary market each time they are willing to get the connection (opportunistic contract [6]). In this sense, the real-time secondary markets imply an increase in spectrum efficiency and also stimulate the operators to adopt new technologies [7].…”

Section: Introductionmentioning

confidence: 99%

Tax optimization in an agent-based model of real-time spectrum secondary market

et al. 2016

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The wireless communication industry is an essential sector boosting economic progress worldwide. The structure of the legacy wireless communication market, characterised by static licensing schemes, is moving towards real-time secondary spectrum markets. While the technological body of spectrum trading has been discussed in detail, from an economic perspectives there are still a lot of gaps in understanding how these transactions affect the economy of future communication standards. A challenging aspect of the real-time spectrum market deployment is the implementation of the appropriate tax system that impacts the market structure. With regards to this, we aim to build an agentbased model of the real-time secondary spectrum market in which various taxes including value-added tax, corporate tax, consumption tax and fixed tax, are employed. The relations between selected tax type rates and the hypothetical revenue of the national regulator is established using Laffer curves. The results of the analysis confirm the existence of a tax distortion, i.e. a system deviation from the efficient system functioning affected by the tax introduction. To mea-B Peter Drotár sure the complexity of the tax strategies and the emergent tax distortion, an original approach based on Euclidean metrics defined over a vector space of the system performance indicators was proposed. This approach was later applied in parallel with the traditional Harberger's triangle methodology. We found that the constrained optimisation with the tax distortion restrictions provide satisfactory results regarding the stability of the tax distortion measure. Therefore, we propose the application of the most effective corporate tax optimisation complemented by selected additional tax types.

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