Proactive sensing and interference mitigation in multi-link satellite networks

Aykin, I; Krunz, M

Proactive sensing and interference mitigation in multi-link satellite networks

Aykin, I Krunz, M

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Publication Type:: Conference Proceeding
Citation:: 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings, 2016
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Aykin, I	en_US
dc.contributor.author	Krunz, M	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings, 2016	en_US
dc.identifier.isbn	9781509013289	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126733
dc.description.abstract	© 2016 IEEE. Satellite communications (SATCOM) are prone to both intentional and unintentional interference, which can significantly degrade the reliability of packet transmissions. Here, we investigate different approaches for interference mitigation in SATCOM based on dynamic frequency hopping (DFH). We consider a star topology, where multiple LEO satellites transmit packets to a common GEO satellite. The FH pattern of each LEO-GEO link is adjusted according to an outcome of out-of-band proactive sensing scheme, carried out by a cognitive radio (CR) module that resides in the GEO satellite. Based on sensing results, channels with high predicted interference are replaced with better channels, without disrupting the communications of other satellites in the network. In searching for replacement channels, we aim to ensure that all satellite links are assigned channels such that their SINR requirements are met. At the same time, the total transmission power and the communication overhead resulting from altering the FH patterns are minimized. We formulate the problem as a multi-objective minimization problem. Continuous-time Markov chain analysis is used to predict future channel conditions. The proposed scheme is compared with two other schemes, namely best-channel-to-closest- user and best-channel-to-farthest-user. Finally, we use simulations to study the effects of different system parameters on the performance of the proposed DFH design.	en_US
dc.relation.ispartof	2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings	en_US
dc.relation.isbasedon	10.1109/GLOCOM.2016.7842175	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Proactive sensing and interference mitigation in multi-link satellite networks	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	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.publication-status	Published	en_US

Abstract:

© 2016 IEEE. Satellite communications (SATCOM) are prone to both intentional and unintentional interference, which can significantly degrade the reliability of packet transmissions. Here, we investigate different approaches for interference mitigation in SATCOM based on dynamic frequency hopping (DFH). We consider a star topology, where multiple LEO satellites transmit packets to a common GEO satellite. The FH pattern of each LEO-GEO link is adjusted according to an outcome of out-of-band proactive sensing scheme, carried out by a cognitive radio (CR) module that resides in the GEO satellite. Based on sensing results, channels with high predicted interference are replaced with better channels, without disrupting the communications of other satellites in the network. In searching for replacement channels, we aim to ensure that all satellite links are assigned channels such that their SINR requirements are met. At the same time, the total transmission power and the communication overhead resulting from altering the FH patterns are minimized. We formulate the problem as a multi-objective minimization problem. Continuous-time Markov chain analysis is used to predict future channel conditions. The proposed scheme is compared with two other schemes, namely best-channel-to-closest- user and best-channel-to-farthest-user. Finally, we use simulations to study the effects of different system parameters on the performance of the proposed DFH design.

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http://hdl.handle.net/10453/126733