# Wireless Communication: Applications Security and Reliability--Present and Future
## 2 The Present Issue
There is a proposed noise signaling system in the transmission medium that represents a type of security at the physical level that will modify the input/output data that will be conventionally modulated in a noise-like form. In [28], a theoretical study of the numerical calculation of mutual information for finite-alphabet-based transmissions over doubly correlated MIMO fading channels was presented. The main objective was to examine the appropriateness of the saddle point method. The proposed solution gives considerable accuracy in estimating the average mutual information with reduced complexity, which may facilitate the practical application of mutual information. In [29], empirical results of a REM design using interpolating methods are presented. The presented experimentally measured data and their interpretation are important in the context of RF source localization. In [30], a low-complexity NUC demapping algorithm, i.e., the SCSR algorithm, is proposed. SCSR algorithm creates the subsets based on the quadrant of 2D-NUC received symbol or the sign of the I/Q component after 1D-NUC received symbol is decomposed. Moreover, the condensation characteristic is used to further reduce the number of constellation points contained in the subsets. In [31], a realistic use case for Wi-Fi misbehavior, i.e., BYOD policies with tethering, is considered. The selfish attack considered (CCA modification) is plausible, gives benefits to the attacker, and harms well-behaved users. The presented detection mechanism is based on a well-thought-out observation rule along with a sequential analysis technique to eliminate false alarms. In [32], an algorithm for relay selection in cooperative MIMO networks is presented. In [33], a method of colorizing images obtained in the process of electromagnetic infiltration is presented. In the method for creating LUTs, an exponential function was proposed with parameters that make it possible to change the position of the function course on the axis of pixel amplitude values of the image subjected to colorization and to change its width. Appropriate selection of these parameters makes it possible to expose the appropriate values of the image pixel amplitudes and thus to highlight the important data contained in the image. In [34], an issue related to the correct determination of the number \(BCorr\) of the reproduced image lines on the basis of the recorded revealing emission signal was presented. Determining the correct \(BCorr\) value is very important when it is necessary to further process the image using the coherent summation method in order to improve its quality, i.e., improve the signal-to-noise (SNR) parameter. In [35], an issue related to the correct determination of the line length of the reconstructed image on the basis of the recorded revealing emission signal was considered. The correct line length ensures that the graphic elements contained in the image remain vertical. For this purpose, an algorithm for estimating the line length of the reconstructed image was proposed. The algorithm for estimating the line length of the reconstructed image uses three methods of determining the line length of the image for a given accuracy. At the same time, criteria were indicated that must be met to determine the correct length of the image line for the assumed accuracy of estimation. In [36], preliminary results of the analysis of the possibility of using the Fourier and the CZT transforms to determine image rastering parameters in the process of electromagnetic infiltration were presented. Particular attention was paid to the accuracy of determining the line length of the reconstructed image based on the accuracy of determining the value of the horizontal sync frequency of the eavesdropped display. The precision of the determination of the line length of the image is of great importance in the case of further processing of the reconstructed image, e.g., in accordance with the coherent summation algorithm to improve the SNR value.