DOTA: A Double Truthful Auction for spectrum allocation in dynamic spectrum access

Wang, Qinhui; Ye, Baoliu; Xu, Tianyin; Lu, Sanglu; Guo, Song

doi:10.1109/wcnc.2012.6214017

Cited by 22 publications

(8 citation statements)

References 18 publications

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“…A double auction which optimizes the profit earned along with low energy consumption is proposed in (Zhai et al, 2018). Another double auction model DOTA in (Wang et al, 2012) designs the auction for both range request and strict request. In range request, demand of an SU can be partially satisfied or fully satisfied.…”

Section: Literature Survey On Auction Models In Crnmentioning

confidence: 99%

Deployment of Auction Theoretic Models for Spectrum Allocation in Cognitive Radio Networks

Devi¹,

Sarma²,

Deka³

2020

Journal of Computer Science

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Cognitive Radio (CR) is a novel technology which empowers the unlicensed users to opportunistically avail the free channels left unoccupied by the licensed owners. This apparently resolves the spectrum scarcity problem arising in today's telecommunication industry. In this technology, once the free bands (called spectrum holes) are detected using sensing techniques, next there is a need to efficiently redistribute the idle spectrum. Such an allocation process of CR has attracted several researchers across the world to contribute in this domain. With an initiative to analyze the functionality of spectrum allocation, this paper carries out a survey on the allocation mechanisms which have been applied to use the spectrum holes. We primarily focus our exploration on auction theoretic allocation models due to their efficacy in channel allocation. Auction formulation takes the unlicensed users as bidders where they bid for the spectrum holes as the auctioned item. Winner determination strategy and pricing strategy are two important aspects of an auction model which determines a fair allocation pattern and along with decides the monetary benefit of sellers and auctioneer. We go through a detailed study on single-sided auction and double-sided auction which are deployed with different CR network constraints to design the allocation model. Finally, we conclude the paper by underlining some future research directions in this area.

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Section: Literature Survey On Auction Models In Crnmentioning

confidence: 99%

Deployment of Auction Theoretic Models for Spectrum Allocation in Cognitive Radio Networks

Devi¹,

Sarma²,

Deka³

2020

Journal of Computer Science

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“…Feng et al [11] extended to heterogeneous spectrum auctions and designed TAHES. In [12], a double truthful auction, called DOTA, was proposed to allow each user to bid for more than one channel. Considering the fact that secondary users may join the network in an online fashion, Wang et al [13] designed TODA.…”

Section: Prior Workmentioning

confidence: 99%

Spectrum Auctions Under Physical Interference Model

Zhang

Yang

Lin

et al. 2017

IEEE Trans. Cogn. Commun. Netw.

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Spectrum auctions provide a platform for licensed spectrum users to share their underutilized spectrum with unlicensed users. Existing spectrum auctions either use the protocol interference model to characterize interference relationship as binary, or do not allow the primary and secondary users to share channels simultaneously. To fill this void, we design SPA, a spectrum single-sided auction under the physical interference model, which considers the interference to be accumulative. We prove that SPA is computationally efficient, individualrational, and truthful. Results from extensive simulation studies demonstrate that, SPA achieves higher revenue, spectrum utilization and buyer satisfaction ratio, compared with the existing auctions modified with the physical interference model.

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“…To support spatial reuse, [6,11,20,23,28] first perform a bid-independent buyer grouping based on the interference graph and then apply the McAfee-style winner determination and pricing mechanism. Since TAHES [6] considers non-uniform channels, a matching procedure is needed to match each buyer group to a channel before McAfeestyle auction can be applied.…”

Section: Related Workmentioning

confidence: 99%

Truthful multi-attribute auction with discriminatory pricing in cognitive radio networks

Wang

Cheng

et al. 2014

SIGMOBILE Mob. Comput. Commun. Rev.

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In this paper, we design a market-based channel allocation scheme for cognitive radio networks by exploiting multi-attribute channel-aware auctions to consider channel diversity in frequency, time, and space domains. Different from existing research, our objective is to maximize the winning SUs' service satisfaction degree while enhancing the utilities of winning PUs and SUs, which can effectively encourage them to join the auction and improve the sustainability of the spectrum market. Based on an elaborately devised preference function, we allocate channels to SUs satisfying their demands while considering spatial and temporal channel reuse to enhance channel utilization. Moreover, we propose a discriminatory pricing method to enhance the utilities of winning PUs and SUs. A comprehensive analysis indicates that our multi-attribute auction is individually-rational, ex-post budget balanced, value-truthful, and attribute-truthful. Our simulation results indicate that the proposed multi-attribute auction can significantly increase the winners' utilities and ensure SUs' service satisfaction.

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DOTA: A Double Truthful Auction for spectrum allocation in dynamic spectrum access

Cited by 22 publications

References 18 publications

Deployment of Auction Theoretic Models for Spectrum Allocation in Cognitive Radio Networks

Deployment of Auction Theoretic Models for Spectrum Allocation in Cognitive Radio Networks

Spectrum Auctions Under Physical Interference Model

Truthful multi-attribute auction with discriminatory pricing in cognitive radio networks

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