Dragana Krstic

TL;DR: Some numerical results of the system's level crossing rate and average fading duration are presented, in order to examine the influence of various parameters such as shadowing and fading severity and number of the diversity branches at the micro-combiners on concerned quantities.

TL;DR: A model-driven framework for proactive network planning relying on synergy of deep learning and multiobjective optimization, and adopting model-based representation of handover strategies within the planning tool, enabling examination of the dynamic behavior of user-created plan.

TL;DR: In this paper, the performance of the MRC receiver in the presence of composite fading that consists of multipath Nakagami-m fading and shadowing is considered, and the shadowing model is modeled by log-normal distribution for composite Nagamim - lognormal, gamma distribution for generalized-K and inverse-Gaussian distribution for G distribution.

TL;DR: New formulae for the output signal-to-interference ratio's (SIR) probability density function (PDF) and cumulative distribution function (CDF) are obtained and the outage probability (OP) and the average symbol error probability (ASEP) for modulation schemes such as noncoherent frequency-shift keying (NCFSK) and binary differentially phase-shiftkeying (BDPSK).

TL;DR: The closed-form expression for level crossing rate (LCR) of this product is derived instead of using either infinite series or special functions and the accuracy of this formula is checked by numerical results and the influence of Rician factor is analyzed.