Adaptive cognitive radio energy-harvesting scheme using sequential gameapproach

Collection with item attached
2017
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/474286.do
DOI
10.1186/s13638-016-0787-x
Title
Adaptive cognitive radio energy-harvesting scheme using sequential gameapproach
Description
This research was supported by the MSIP (Ministry of Science, ICT andFuture Planning), Korea, under the ITRC (Information Technology ResearchCenter) support program (IITP-2016-H8501-16-1018), supervised by theIITP (Institute for Information & communications Technology Promotion),and was supported by Basic Science Research Program through the NationalResearch Foundation of Korea (NRF) funded by the Ministry of Education(NRF-2015R1D1A1A01060835).
abstract
Radio frequency (RF) energy transfer and harvesting techniques have recently become alternative methods to overcome the barriers that prevent the real-world wireless device deployment. For the next-generation wireless networks, they can be key techniques. In this study, we develop a novel energy-harvesting scheme for the cognitive radio (CR) network system. Using the sequential game model, data transmission and energy harvesting in each device are dynamically scheduled. Our approach can capture the wireless channel state while considering multiple device interactions. In a distributed manner, individual devices adaptively adjust their decisions based on the current system information while maximizing their payoffs. When the channel selection collision occurs, our sequential bargaining process coordinates this problem to optimize a social fairness. Finally, we have conducted extensive simulations. The results demonstrate that the proposed scheme achieves an excellent performance for the energy efficiency and spectrum utilization. The main contribution of our work lies in the fact that we shed some new light on the trade-off between individual wireless devices and CR network system.
provenance
Made available in Cube on 2018-09-28T10:42:02Z (GMT). No. of bitstreams: 0
language
English
author
Kim, Sungwook
accessioned
2018-09-28T10:42:02Z
available
2018-09-28T10:42:02Z
issued
2017
citation
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
issn
1687-1499
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/474286.do
Funder
교육부
Funding Program
BK21플러스사업(0.5)
Project ID
1345274235
Jurisdiction
Rep.of Korea
Project Name
Creative Data Engineer Development for Big Data Appliances
rights
openAccess
subject
Energy harvesting
Radio frequency
Cognitive radio network
Gametheory
Sequential bargaining solution
type
article


Files in This Item

There are no attached files.