NDLI: Ei-transform: A useful and general framework for channel capacity analysis over fading channels

Content Provider	IEEE Xplore Digital Library
Author	Di Renzo, M. Graziosi, F. Santucci, F.
Copyright Year	2009
Description	Author affiliation: Telecommunications Technological Center of Catalonia, Access Technologies Area, Mediterranean Technological Park, Av. Canal Olimpic s/n, 08860 Castelldefels, Barcelona, Spain (Di Renzo, M.) \|\| Dept. of Electrical and Information Engineering, Center of Excellence in Research DEWS, University of L'Aquila, Poggio di Roio, 67040, Italy (Graziosi, F.; Santucci, F.)
Abstract	In this paper, we propose a novel unified analytical framework for the analysis of Channel Capacity over fading channels, which exploits the flexibility and generality of the well-known Moment Generating Function (MGF-) based approach, instead of the usual Probability Density Function (PDF-) based one. In particular, we will introduce a novel transform operator called Ei-Transform, and show that Channel Capacity with side information at the receiver and side information at the transmitter and receiver can be readily expressed as the Ei-Transform of the first derivative of the MGF of the received Signal-to-Noise Ratio (SNR) in the former case, and the Ei-Transform of a linear combination of MGF and truncated MGF (along with their derivatives) of the received SNR in the latter case. The proposed framework turns out to be a useful technique to the analysis and computation of Channel Capacity in all those application scenarios in which estimating the MGF of the received SNR is much simpler than estimating the PDF. Finally, a simple numerical method, which is based on the Gauss-Chebyshev Quadrature (GCQ) rule, for computing Ei-Transform integrals will be described, and numerical results will be shown to validate the accuracy of the proposed MGF-based approach.
Starting Page	1
Ending Page	6
File Size	144235
Page Count	6
File Format	PDF
ISBN	9781424433810
DOI	10.1109/SARNOF.2009.4850344
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Channel capacity Fading Information analysis Performance analysis Transmitters AWGN Probability density function MIMO Irrigation Gaussian processes
Content Type	Text
Resource Type	Article

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