A Tractable Statistical Representation of IFTR Fading With Applications
Metadatos
Mostrar el registro completo del ítemEditorial
Institute of Electrical and Electronics Engineers (IEEE)
Materia
Multipath fading Independent fluctuating tworay (IFTR) Gamma distribution
Fecha
2024-03-18Referencia bibliográfica
M. Olyaee, H. Hashemi and J. M. Romero-Jerez, "A Tractable Statistical Representation of IFTR Fading With Applications," in IEEE Transactions on Communications, vol. 72, no. 8, pp. 4677-4691, Aug. 2024, doi: 10.1109/TCOMM.2024.3377702
Patrocinador
Junta de Andalucia through project P21-00420 and also grant EMERGIA20-00297; MCIN/AEI/10.13039/501100011033 through grant PID2020-118139RB-I00; Funding for open access charge: Universidad de Málaga / CBUAResumen
The recently introduced independent fluctuating
two-ray (IFTR) fading model, consisting of two specular components
fluctuating independently plus a diffuse component,
has proven to provide an excellent fit to different wireless
environments, including the millimeter-wave band. However, the
original formulations of the probability density function (PDF)
and cumulative distribution function (CDF) of this model are
not applicable to all possible values of its defining parameters,
and are given in terms of multifold generalized hypergeometric
functions, which prevents their widespread use for the derivation
of performance metric expressions. A new formulation of the
IFTR model is here presented as a countable mixture of Gamma
distributions which greatly facilitates the performance evaluation
for this model in terms of the metrics already known for the much
simpler and widely used Nakagami-m fading, and is shown to
provide a better fit to empirical measurements than the original
formulation. Additionally, a closed-form expression is presented
for the generalized moment generating function (GMGF), which
permits to readily obtain all the moments of the distribution of
the model, as well as several relevant performance metrics. Based
on these new derivations, performance results are presented for
the IFTR model considering different metrics, which are verified
by Monte Carlo simulations.