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Economic-robust session based spectrum trading in multi-hop cognitive radio networks

Xuanheng Li, Miao Pan, Yang Song, Yi Sun, Yuguang Fang

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Spectrum trading benefits primary users (PUs) by monetary gains and secondary users (SUs) by spectrum accessing opportunities in cognitive radio networks (CRNs). Unfortunately, most existing spectrum trading designs only focus on the guarantee of economic properties, but forget the wireless transmission nature, especially for multi-hop cognitive radio (CR) communications. In this paper, we propose an economic-robust session based spectrum trading, which has a joint consideration of economic properties such as incentive compatibility, individual rationality, and budget balance, and the end-to-end performance for multi-hop communications. Considering two bidding manners, i.e., bidding for the whole session and unit rate bidding, we formulate the spectrum trading optimization problems under multiple economic and multi-hop CR transmission constraints, design two pricing mechanisms to charge the winning spectrum bidders, and further mathematically prove the economic- robustness of the proposed spectrum trading schemes. Through extensive simulations, we show the proposed schemes are economic-robust and effective in improving spectrum utilization.
Original languageEnglish
Title of host publication2015 IEEE Global Communications Conference, GLOBECOM 2015
PublisherIEEE
ISBN (Print)9781479959525
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event58th IEEE Global Communications Conference, GLOBECOM 2015 - San Diego, United States
Duration: 6 Dec 201510 Dec 2015

Publication series

Name2015 IEEE Global Communications Conference, GLOBECOM 2015

Conference

Conference58th IEEE Global Communications Conference, GLOBECOM 2015
PlaceUnited States
CitySan Diego
Period6/12/1510/12/15

Bibliographical note

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