An Outage Analysis of Multibranch Diversity Receivers with Cochannel Interference in α-μ, κ-μ, and η-μ Fading Scenarios

Analytical performance of soft data fusion‐aided spectrum sensing in hybrid terrestrial‐satellite networks

“…It is necessary to limit and find the number of terms in the infinite series without loosing accuracy of the result. The required number of terms in (19), (22), (25), (28), (30), and (32), denoted as T N , can empirically be determined using MATLAB/Mathematica to obtain at least five significant accuracy. In Table I, the value of T N is shown for different soft schemes, S-channel SNRs, and fading parameters to obtain five digit accuracy.…”

“…Generalized fading models, such as α ‐ μ , κ ‐ μ , and η ‐ μ , encompass many individual fading distributions. Apart from Rayleigh and Nakagami‐ m , for specific values of parameters, the α ‐ μ distribution reduces to Weibull, κ ‐ μ reduces to Rician, and η ‐ μ reduces to Hoyt, respectively . This prompted many researchers to analyze CSS performance with ED over generalized fading channels.…”

“…Further, several other statistical models do exist for fading/shadowing characterization, including Hoyt, Weibull, and log-normal shadowing, which are not covered.Generalized fading models, such as˛-, Ä-, and Á-, encompass many individual fading distributions. Apart from Rayleigh and Nakagami-m, for specific values of parameters, the˛-distribution reduces to Weibull, Äreduces to Rician, and Áreduces to Hoyt, respectively [25]. This prompted…”

Energy Efficient DF Relay Placement in alpha-mu Fading Channel with Cooperative and Non-Cooperative Schemes

“…To make our analysis compatible with different realistic scenarios, we have modeled the small-scale fading with α − µ statistics. The α − µ model [3], [4] can be considered as a generalized fading statistics and includes many other statistical models like onesided Gaussian, Rayleigh, and the Nakagami-m, as special cases. For example, when α = 2, the model reduces to simple Nakagami-m distribution, with the other parameter µ being equal to m [3].…”

Outage Probability Analysis for MRC in η-μ Fading Channels with Co-Channel Interference

“…10] is not applicable because the Gaussian characterization of the η − µ distribution is not circularly symmetric. An approximated result in integral form has been provided in [3] for suboptimal equal gain combining. Only recently have exact closed forms for the OP in η−µ fading channels been unveiled, either with background noise only [4] or in interference-limited conditions (without background noise) [5]; no results are available with mixed background noise and interference.…”