Based on them, the expressions for moments, average output signal-to-noise ratio (SNR), channel capacity (CC), Pout, and ABER for a binary modulation scenario are derived. In [11], the performance of femtocells with an MRC diversity receiver is observed. The expressions for Pout, amount of fading (AF), and ASEP for coherent and non-coherent modulations are obtained in the closed form for the BX channel. Also, CC is evaluated. For the time being, the team consisting of the members [PERSON], [PERSON], and [PERSON] has intensively analyzed the BX channel [12; 13; 14; 15]. For an \(L\)-branch SC receiver over BX fading channels with arbitrary correlation, the Pout and error rate performance are derived in closed-form expression in [12], while in [13], the same performances are derived for the case with an equal-gain combining (EGC) receiver. For a BX fading channel using different diversity combining schemes with different diversity orders, SC, EGC, and MRC, asymptotically tight upper and lower bounds for the Pout and error rate performance for high signal-to-noise ratios are performed in [14]. This group of authors analyzed the level crossing rate (LCR) and average fade duration (AFD) for the BX fading model and a diversity scheme using MRC in [15]. The derived measures of the BX fading model showed improvements tied to the performance of the Ricean and Nakagami-\(m\) fading models. Finally, [PERSON] united the previously published results of research into the performance of wireless systems with BX fading in her doctoral dissertation [16]. In most of the works, diversity combining techniques were used to reduce the effect of fading. Diversity mitigates the effects of fading by combining multiple independent fading paths, since the chance that all the branches are in deep fade at the same time is very low [1]. The diversity combining techniques have different levels of complexity and performance. A few of them are used in wireless systems the most often. Among them are the ones mentioned above: MRC, EGC, and SC combiners. The MRC provides the best diversity performance because it combines fading paths optimally. In this scheme, all paths are co-phased and summed with optimal weighting to maximize output SNR or SIR. Here, the standard ABER is not easy to obtain in closed form since the integral in the ABER formula often diverges. So, analysis of the MRC is simplified using the MGF approach. The EGC is simpler than MRC. In this method, paths are co-phased and summed but with equal gain. This type of combining is easier to implement compared to MRC. With selection diversity, the receiver selects the antenna with the highest received signal power, or output signal-to-co-channel interference ratio (SIR), and ignores data from the other antennas. The chosen receiver antenna is one which gives maximal SIR. Since at each moment only one antenna is observed, no co-phasing is required. The CCI also exists in wireless systems and has to be accounted for in calculating their performance. The CCI represents crosstalk from two different radio transmitters using the same channel. This is a phenomenon where the signal transmitted in one channel of a wireless communication system produces an undesired impact on another channel. Thus, the CCI is narrowly tied up with frequency reuse when the same frequency band is used by two or more base stations that are located in the vicinity of each other. If the distance between the cells that use the same frequency band increases, the possibilities for crosstalk in wireless communication due to frequency reuse decreases. The cellular structure is designed to provide maximal protection against CCI, but it cannot be totally eliminated. That is why CCI can be the dominant factor in determining the system performance, and understanding the influence of CCI on the system performance is of great importance in wireless system design.