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dc.contributor.authorPinyoanuntapong, Krittetash
dc.contributor.authorGoswami, Madhuprana
dc.contributor.authorHabib, Ashfia Binte
dc.contributor.authorKwon, Hyuck M.
dc.contributor.authorPham, Khanh D.
dc.date.accessioned2017-02-22T12:07:14Z
dc.date.available2017-02-22T12:07:14Z
dc.date.issued2016
dc.identifier.citationK. Pinyoanuntapong, M. Goswami, A. B. Habib, H. M. Kwon and Khanh Pham, "Boundaries of signal-to-noise ratio for adaptive code modulations," MILCOM 2016 - 2016 IEEE Military Communications Conference, Baltimore, MD, 2016, pp. 132-137en_US
dc.identifier.isbn978-1-5090-3781-0
dc.identifier.issn2155-7578
dc.identifier.otherWOS:000391433600023
dc.identifier.urihttp://dx.doi.org/10.1109/MILCOM.2016.7795314
dc.identifier.urihttp://hdl.handle.net/10057/12886
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractAdaptive code modulation (ACM) has been studied for last two decades to enhance the bandwidth and power efficiency in a bandwidth-constrained and power-constrained communication system environment. This paper studies how to decide the boundaries of a signal-to-noise ratio (SNR) for the ACM mode selection for a given set of parameters and system model. Also, this paper proposes an efficient and practical algorithm to search the proper ACM mode that meets a target bit error rate (BER) and achieves the maximum data rate. The proposed algorithm is found to be effective under jamming and interference, even if channel and jamming state information (JSI) are unavailable. The results in this paper can be applicable for future satellite and mobile communication system designs against jamming and interference environments.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesMILCOM 2016 - 2016 IEEE Military Communications Conference;
dc.subjectAdaptive code modulationen_US
dc.subjectJammingen_US
dc.subjectSatellite communicationsen_US
dc.subjectRician fadingen_US
dc.subjectConvolutional codeen_US
dc.titleBoundaries of Signal-to-Noise Ratio for Adaptive Code Modulationsen_US
dc.typeConference paperen_US
dc.rights.holder© Copyright 2017 IEEE - All rights reserved.en_US


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