DocumentCode
2236497
Title
Selective spectrum leasing in Internet of Things via Nash Bargaining Solutions
Author
Biling Zhang ; Kai Chen
Author_Institution
Sch. of Network Educ., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2012
fDate
Oct. 30 2012-Nov. 1 2012
Firstpage
841
Lastpage
845
Abstract
In the Internet of Things, spectrum leasing is a win-win solution for both notes which need to communicate by wireless but have no licensed bandwidth, i.e., secondary users (SUs), and nodes which own the under-utilized licensed bandwidth, i.e., primary users (PUs). In this paper, we consider a scenario where a PU would like to share a fraction of its bandwidth to only one of the SUs in exchange for cooperative transmission when the PU´s transmission rate is lower than the quality of service requirement. We cast such resource sharing problem in the framework of cooperative game, and use the Nash Bargaining Solution (NBS) and selective cooperation to achieve the optimal strategy. Analysis and numerical results show that spectrum leasing based on cooperative games is a promising paradigm.
Keywords
Internet of Things; cooperative communication; game theory; Internet of Things; Nash bargaining solutions; PU transmission; cooperative game; cooperative transmission; nodes; optimal strategy; primary users; quality of service; resource sharing problem; secondary users; selective spectrum leasing; under-utilized licensed bandwidth; Bandwidth; Cognitive radio; Games; NIST; Quality of service; Relays; Internet of Things; Nash Bargaining Solution; cooperative game theory; cooperative transmission; spectrum leasing;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-1855-6
Type
conf
DOI
10.1109/CCIS.2012.6664294
Filename
6664294
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