Adaptive frequency-hopping schemes for CR-based multi-link satellite networks

Aykin, I; Krunz, M; Xiao, Y

Adaptive frequency-hopping schemes for CR-based multi-link satellite networks

Aykin, I Krunz, M Xiao, Y

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Publication Type:: Journal Article
Citation:: International Journal of Satellite Communications and Networking, 2018, 36 (4), pp. 315 - 331
Issue Date:: 2018-07-01

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Field	Value	Language
dc.contributor.author	Aykin, I	en_US
dc.contributor.author	Krunz, M	en_US
dc.contributor.author	Xiao, Y	en_US
dc.date.issued	2018-07-01	en_US
dc.identifier.citation	International Journal of Satellite Communications and Networking, 2018, 36 (4), pp. 315 - 331	en_US
dc.identifier.issn	1542-0973	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132767
dc.description.abstract	Copyright © 2018 John Wiley & Sons, Ltd. In this paper, we study two dynamic frequency hopping (DFH)–based interference mitigation approaches for satellite communications. These techniques exploit the sensing capabilities of a cognitive radio to predict future interference on the upcoming frequency hops. We consider a topology where multiple low Earth orbit satellites transmit packets to a common geostationary equatorial orbit satellite. The FH sequence of each low Earth orbit–geostationary equatorial orbit link is adjusted according to the outcome of out-of-band proactive sensing scheme, performed by a cognitive radio module in the geostationary equatorial orbit satellite. On the basis of sensing results, new frequency assignments are made for the upcoming slots, taking into account the transmit powers, achievable rates, and overhead of modifying the FH sequences. In addition, we ensure that all satellite links are assigned channels such that their minimum signal-to-interference-plus-noise ratio requirements are met, if such an assignment is possible. We formulate two multi-objective optimization problems: DFH-Power and DFH-Rate. Discrete-time Markov chain analysis is used to predict future channel conditions, where the number of states are inferred using k-means clustering, and the state transition probabilities are computed using maximum likelihood estimation. Finally, simulation results are presented to evaluate the effects of different system parameters on the performance of the proposed designs.	en_US
dc.relation.ispartof	International Journal of Satellite Communications and Networking	en_US
dc.relation.isbasedon	10.1002/sat.1235	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Adaptive frequency-hopping schemes for CR-based multi-link satellite networks	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	36	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	36	en_US

Abstract:

Copyright © 2018 John Wiley & Sons, Ltd. In this paper, we study two dynamic frequency hopping (DFH)–based interference mitigation approaches for satellite communications. These techniques exploit the sensing capabilities of a cognitive radio to predict future interference on the upcoming frequency hops. We consider a topology where multiple low Earth orbit satellites transmit packets to a common geostationary equatorial orbit satellite. The FH sequence of each low Earth orbit–geostationary equatorial orbit link is adjusted according to the outcome of out-of-band proactive sensing scheme, performed by a cognitive radio module in the geostationary equatorial orbit satellite. On the basis of sensing results, new frequency assignments are made for the upcoming slots, taking into account the transmit powers, achievable rates, and overhead of modifying the FH sequences. In addition, we ensure that all satellite links are assigned channels such that their minimum signal-to-interference-plus-noise ratio requirements are met, if such an assignment is possible. We formulate two multi-objective optimization problems: DFH-Power and DFH-Rate. Discrete-time Markov chain analysis is used to predict future channel conditions, where the number of states are inferred using k-means clustering, and the state transition probabilities are computed using maximum likelihood estimation. Finally, simulation results are presented to evaluate the effects of different system parameters on the performance of the proposed designs.

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http://hdl.handle.net/10453/132767