Spectrum auctions under physical interference model
dc.contributor.advisor | Yang, Dejun | |
dc.contributor.author | Zhang, Yuhui | |
dc.date.accessioned | 2016-06-29T13:36:03Z | |
dc.date.accessioned | 2022-02-03T12:56:32Z | |
dc.date.available | 2017-06-28T04:18:44Z | |
dc.date.available | 2022-02-03T12:56:32Z | |
dc.date.issued | 2016 | |
dc.identifier | T 8081 | |
dc.identifier.uri | https://hdl.handle.net/11124/170308 | |
dc.description | Includes bibliographical references. | |
dc.description | 2016 Summer. | |
dc.description.abstract | 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 ll 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 ecient, 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 modied with the physical interference model. | |
dc.format.medium | born digital | |
dc.format.medium | masters theses | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Colorado School of Mines. Arthur Lakes Library | |
dc.relation.ispartof | 2010-2019 - Mines Theses & Dissertations | |
dc.rights | Copyright of the original work is retained by the author. | |
dc.title | Spectrum auctions under physical interference model | |
dc.type | Text | |
dc.contributor.committeemember | Zhang, Hao | |
dc.contributor.committeemember | Mehta, Dinesh P. | |
dcterms.embargo.terms | 2017-06-28 | |
dcterms.embargo.expires | 2017-06-28 | |
thesis.degree.name | Master of Science (M.S.) | |
thesis.degree.level | Masters | |
thesis.degree.discipline | Electrical Engineering and Computer Science | |
thesis.degree.grantor | Colorado School of Mines | |
dc.rights.access | Embargo Expires: 06/28/2017 |