DocumentCode :
3611054
Title :
Spectrum combinatorial double auction for cognitive radio network with ubiquitous network resource providers
Author :
Long Chen ; Liusheng Huang ; Zehao Sun ; Hongli Xu ; Hansong Guo
Author_Institution :
Sch. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
Volume :
9
Issue :
17
fYear :
2015
Firstpage :
2085
Lastpage :
2094
Abstract :
Spectrum auction is an emerging economic scheme to stimulate both primary spectrum operators (POs) and secondary users (SUs) to be involved in spectrum sharing. Previous spectrum auction works mostly assume each PO can only have one type spectrum or each SU can only buy homogeneous spectrum bands from the same PO. However, in a ubiquitous network scenario, each PO possesses heterogeneous spectrum resources such as WiFi, 3G and each SU may request different types of spectrum bands from the same PO. Existing auction schemes cannot be used to effectively solve the problem. Therefore, the authors come out with a lightweight combinatorial double auction to tackle this challenge. Since spectrum combinatorial double auction problem is NP-hard, the authors develop a general greedy algorithm G-Greedy to solve the problem. Inspired by the recent group-buying discounts, they also invent an enhanced scheme E-Greedy to further optimise total utility. They theoretically prove the economy properties of the proposed schemes such as individual rationality, budget balance and truthfulness. Simulation results show that both of the two algorithms can yield higher utilities and are effective.
Keywords :
cognitive radio; greedy algorithms; radio spectrum management; ubiquitous computing; 3G; E-Greedy; G-Greedy; WiFi; cognitive radio network; greedy algorithm; secondary users; spectrum auction; spectrum combinatorial double auction; spectrum operators; spectrum sharing; ubiquitous network resource providers;
fLanguage :
English
Journal_Title :
Communications, IET
Publisher :
iet
ISSN :
1751-8628
Type :
jour
DOI :
10.1049/iet-com.2015.0315
Filename :
7332322
Link To Document :
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