An analytical expression of the cumulative distribution function (cdf) of the normalized signal-to-noise ratio SNR of the maximum ratio combiner (MRC) in correlated Rician fading channels has been derived. The expression is expressed as an infinite power series which can be computed very fast by truncation to a finite number of terms. The analytical expression can handle any number of receiving branches with different antenna correlations, antenna gains, antenna separations, and signal angles. Results obtained from the analytical expression are compared with those generated by computer Monte Carlo simulations. The cdfs obtained can be used for the determination of diversity gains in correlated Rician fading channels
Selection combiner output (SCO) cumulative distribution functions (cdfs) of multivariate equally-cor...
[[abstract]]For maximal ratio combining (MRC) diversity over correlated fading channels with Gaussia...
The physical meaning of the composite Nakagami-lognormal fading model is not well understood by many...
An analytical expression of the cumulative distribution function (cdf) of the normalized signal-to-n...
The performance of the maximum ratio combining method for the combining of antenna-diversity signals...
A fast calculation method for the diversity gain in correlated Rician-fading channels is introduced....
In this contribution, we investigate the impact of channel correlation on the ergodic capacity, capa...
Although relatively simple exact error rate expression are available for selection combining (SC) an...
Although relatively simple exact error rate expression are available for selection combining (SC) an...
Novel single-integral functions of multivariate equal-correlated (equ.c.) Rician fading employing ma...
Previous work on maximum ratio combining (MRC) diversity has derived a closed-form cumulative distri...
[[abstract]]For maximal ratio combining (MRC) diversity over correlated fading channels with Gaussia...
Previous work on maximum ratio combining (MRC) diversity has derived a closed-form cumulative distri...
Abstract—We develop a novel approach to derive the cumula-tive distribution functions (cdfs) of the ...
Obtaining tractable and compact expressions for cumulative distribution functions (cdfs) of multivar...
Selection combiner output (SCO) cumulative distribution functions (cdfs) of multivariate equally-cor...
[[abstract]]For maximal ratio combining (MRC) diversity over correlated fading channels with Gaussia...
The physical meaning of the composite Nakagami-lognormal fading model is not well understood by many...
An analytical expression of the cumulative distribution function (cdf) of the normalized signal-to-n...
The performance of the maximum ratio combining method for the combining of antenna-diversity signals...
A fast calculation method for the diversity gain in correlated Rician-fading channels is introduced....
In this contribution, we investigate the impact of channel correlation on the ergodic capacity, capa...
Although relatively simple exact error rate expression are available for selection combining (SC) an...
Although relatively simple exact error rate expression are available for selection combining (SC) an...
Novel single-integral functions of multivariate equal-correlated (equ.c.) Rician fading employing ma...
Previous work on maximum ratio combining (MRC) diversity has derived a closed-form cumulative distri...
[[abstract]]For maximal ratio combining (MRC) diversity over correlated fading channels with Gaussia...
Previous work on maximum ratio combining (MRC) diversity has derived a closed-form cumulative distri...
Abstract—We develop a novel approach to derive the cumula-tive distribution functions (cdfs) of the ...
Obtaining tractable and compact expressions for cumulative distribution functions (cdfs) of multivar...
Selection combiner output (SCO) cumulative distribution functions (cdfs) of multivariate equally-cor...
[[abstract]]For maximal ratio combining (MRC) diversity over correlated fading channels with Gaussia...
The physical meaning of the composite Nakagami-lognormal fading model is not well understood by many...