2014
DOI: 10.1109/tmc.2013.17
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Enabling Spectrum Sharing in Secondary Market Auctions

Abstract: Wireless spectrum is a scare resource, but in practice much of it is under-used by current owners. To enable better use of this spectrum, we propose an auction approach to dynamically allocate the spectrum in a secondary market. Unlike previous auction approaches, we seek to take advantage of the ability to share spectrum among some bidders while respecting the needs of others for exclusive use. Thus, unlike unlicensed spectrum (e.g. Wi-Fi), which can be shared by any device, and exclusive-use licensed spectru… Show more

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Cited by 63 publications
(39 citation statements)
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References 29 publications
(21 reference statements)
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“…The probability is dependent on the bid submitted by a user and the number of available channels in the system as shown in Eq. (12).…”
Section: The Congestion Chargementioning
confidence: 99%
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“…The probability is dependent on the bid submitted by a user and the number of available channels in the system as shown in Eq. (12).…”
Section: The Congestion Chargementioning
confidence: 99%
“…In addition, spectrum auctions were introduced as a possible regulatory measure for user admittance in a wireless network, as a means of overcoming the perceived scarcity of the radio spectrum. In such a situation, an auction process allows users who can afford to pay the most to have access to the radio spectrum [11,12]. An auction process is important because the price paid for the spectrum has over the years been based on potential price rather than allowing competition to reflect the actual price for the radio spectrum.…”
Section: Introductionmentioning
confidence: 99%
“…Kash et al [22] propose a spectrum auction enabling the sharing of a channel within an SU's interference range. By introducing a binary variable into the valuation of each SU to indicate the willingness to share, this auction primitively models exclusive/non-exclusive access of a channel for static SUs of heterogeneous types, with different transmission power and spectrum needs.…”
Section: Related Workmentioning
confidence: 99%
“…Our motive here is two-fold. First, such algorithms can be used to study the efficient allocation for a large number of assets and agents, and second, such algorithms might be useful in developing truthful mechanisms that approximate an efficient allocation [9], [10], [16]. Alternatively, the cases where the allocation problems are NP-hard may provide a reason to design spectrum markets in such a way that the problem sizes are not too large, so that despite the NP-hardness, the relevant problems can be solved exactly.…”
Section: Introductionmentioning
confidence: 99%