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Conference Paper: Utility-maximizing data dissemination in socially selfish cognitive radio networks

TitleUtility-maximizing data dissemination in socially selfish cognitive radio networks
Authors
Issue Date2011
PublisherIEEE, Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001499
Citation
The IEEE 8th International Conference on Mobile Adhoc and Sensor Systems (MASS), Valencia, Spain, 17-22 October 2011. In Proceedings of 8th MASS, 2011, p. 212-221 How to Cite?
AbstractIn cognitive radio networks, the occupation patterns of the primary users can be very dynamic, which makes optimization (e.g., utility maximization) of data dissemination among secondary users difficult. Even under the assumption that all secondary users are fully collaborative, the optimization requires cross-layer decision making which is challenging. The challenge escalates if users are socially selfish, who prefer to relay data only to those other users with whom there are social ties. Such social selfishness of users translates into new constraints on network protocol design. There has been no study so far on the impact of social selfishness on data dissemination in cognitive radio networks. In this paper, we consider social selfishness of secondary users, and propose the design of a joint end-to-end rate control, routing, and channel allocation protocol which can maximize the overall throughput utility of multi-session unicast in cognitive radio networks. We give a distributed implementation of the protocol. Based on a Lyapunov optimization framework, we address social preferences of users using differentiated buffer sizes and relay rates for different data sessions, and apply back-pressure based transmission scheduling to achieve guaranteed utility optimality. A unique contribution of our Lyapunov optimization is that only a finite-sized buffer is required at each user node, which sets our design apart from other designs in existing literature where they assume infinite buffers. We investigate the the optimality of our protocol and the impact of user social selfishness using both theoretical analysis and extensive simulations. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/135697
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorLi, Hen_HK
dc.contributor.authorHuang, Wen_HK
dc.contributor.authorWu, Cen_HK
dc.contributor.authorLi, Zen_HK
dc.contributor.authorLau, FCMen_HK
dc.date.accessioned2011-07-27T01:39:55Z-
dc.date.available2011-07-27T01:39:55Z-
dc.date.issued2011en_HK
dc.identifier.citationThe IEEE 8th International Conference on Mobile Adhoc and Sensor Systems (MASS), Valencia, Spain, 17-22 October 2011. In Proceedings of 8th MASS, 2011, p. 212-221en_HK
dc.identifier.isbn978-0-7695-4469-4-
dc.identifier.urihttp://hdl.handle.net/10722/135697-
dc.description.abstractIn cognitive radio networks, the occupation patterns of the primary users can be very dynamic, which makes optimization (e.g., utility maximization) of data dissemination among secondary users difficult. Even under the assumption that all secondary users are fully collaborative, the optimization requires cross-layer decision making which is challenging. The challenge escalates if users are socially selfish, who prefer to relay data only to those other users with whom there are social ties. Such social selfishness of users translates into new constraints on network protocol design. There has been no study so far on the impact of social selfishness on data dissemination in cognitive radio networks. In this paper, we consider social selfishness of secondary users, and propose the design of a joint end-to-end rate control, routing, and channel allocation protocol which can maximize the overall throughput utility of multi-session unicast in cognitive radio networks. We give a distributed implementation of the protocol. Based on a Lyapunov optimization framework, we address social preferences of users using differentiated buffer sizes and relay rates for different data sessions, and apply back-pressure based transmission scheduling to achieve guaranteed utility optimality. A unique contribution of our Lyapunov optimization is that only a finite-sized buffer is required at each user node, which sets our design apart from other designs in existing literature where they assume infinite buffers. We investigate the the optimality of our protocol and the impact of user social selfishness using both theoretical analysis and extensive simulations. © 2011 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE, Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001499-
dc.relation.ispartofProceedings of the IEEE International Conference on Mobile Adhoc and Sensor Systems, MASS 2011en_HK
dc.rightsIEEE International Conference on Mobile Adhoc and Sensor Systems Proceedings. Copyright © IEEE, Computer Society.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.titleUtility-maximizing data dissemination in socially selfish cognitive radio networksen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=978-0-7695-4469-4&volume=&spage=212&epage=221&date=2011&atitle=Utility-maximizing+data+dissemination+in+socially+selfish+cognitive+radio+networks-
dc.identifier.emailWu, C:cwu@cs.hku.hken_HK
dc.identifier.emailLau, FCM:fcmlau@cs.hku.hken_HK
dc.identifier.authorityWu, C=rp01397en_HK
dc.identifier.authorityLau, FCM=rp00221en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/MASS.2011.28en_HK
dc.identifier.scopuseid_2-s2.0-83355161629en_HK
dc.identifier.hkuros187760en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-83355161629&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage212en_HK
dc.identifier.epage221en_HK
dc.description.otherThe IEEE 8th International Conference on Mobile Adhoc and Sensor Systems (MASS), Valencia, Spain, 17-22 October 2011. In Proceedings of 8th MASS, 2011, p. 212-221-
dc.identifier.scopusauthoridLi, H=35292662600en_HK
dc.identifier.scopusauthoridHuang, W=36080162400en_HK
dc.identifier.scopusauthoridWu, C=15836048100en_HK
dc.identifier.scopusauthoridLi, Z=35316050800en_HK
dc.identifier.scopusauthoridLau, FCM=7102749723en_HK
dc.identifier.citeulike10181183-

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