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Abstract
The aims of this paper are threefold: (i) to present a model for the complexα-μfading channel; (ii) to propose an efficient, simple, and general method to generate complexα-μsamples; (iii) to make use of this channel in order to assess the bit error rate performance of an OFDM system. An analytical framework is then used, whose output is validated through Monte Carlo simulation. Several important conclusions concerning the system performance as a function of the channel parameters, namely, nonlinearity, clustering, and power imbalance of in-phase and quadrature components, are drawn.
Highlights
Wireless communication channels are subject to fading, with the received signal varying in a random manner [1, 2]
In an attempt to fill this gap, in [4], a complex fading model leading to Nakagami-m envelope and nonuniform phase distribution was proposed
Such a model was improved in [5] to account for power, or, equivalently, clustering, imbalance between in-phase and quadrature components
Summary
Wireless communication channels are subject to fading, with the received signal varying in a random manner [1, 2]. One of such distributions, arising from the α-μ fading model [3], describes the small-scale variations of the signal in a highly diffuse scattering environment It is a general, flexible, and mathematically tractable distribution which models the nonlinearity of the propagation medium, given by the parameter α, as well as the multipath clustering of the radio waves, given by the parameter μ. In an attempt to fill this gap, in [4], a complex fading model leading to Nakagami-m envelope and nonuniform phase distribution was proposed. Such a model was improved in [5] to account for power, or, equivalently, clustering, imbalance between in-phase and quadrature components. It is noteworthy that the Nakagami-m complex model has already been validated in practice through field measurements [6]
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