Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2843
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dc.contributor.authorPradhan, Bibhuti Bhusan-
dc.contributor.authorRoy, Lakshi Prosad-
dc.date.accessioned2018-01-02T10:53:30Z-
dc.date.available2018-01-02T10:53:30Z-
dc.date.issued2017-12-
dc.identifier.citation11th IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Bhubaneswar, Odisha, India 17 - 20 December, 2017en_US
dc.identifier.urihttp://hdl.handle.net/2080/2843-
dc.descriptionCopyright of this document belongs to proceedings publisher.en_US
dc.description.abstractModelling composite wireless fading channel is crucial for design and performance analysis of communication system. In this regard, Nakagami/lognormal (NL) distribution is a widely acceptable composite channel model for characterizing SNR of wireless channel. However, probability density function of NL model is not in closed form which limits its applicability. Interestingly, KG model is found to be a good approximation of NL distribution with relatively simpler mathematical expression. In this paper, we propose to reparameterize the KG distribution suitably to approximate the NL distribution for SISO channel.The analytical expressions of outage probability, average symbol error rate and channel capacity are also derived for accessing the performance of reparametrized KG model. Furthermore, analytical capacity bound is derived for the reparametrized KG distribution to model SNR of MIMO wireless channel by exploiting majorization theory. Finally, experimental results are demonstrated to show the usefulness of the proposed KG model which validates the applicability of reparametrized model in approximating NL distribution.en_US
dc.subjectReparametrized KG modelen_US
dc.subjectSNRen_US
dc.subjectWireless Channelen_US
dc.subjectNL distributionen_US
dc.titlePerformance Assessment of Reparametrized KG Distribution in Modelling SNR of Wireless Channelen_US
dc.typeArticleen_US
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