In this paper, we present an algorithm to generate and distribute Z users in Z virtual zones. In3G networks we have dynamic capacity that depends on the interference levels in the covered areaand the number of active users. This implies that the distance of the mobile user from the basestation is also an important factor because of the signal fading. An algorithm is presented basedon the queuing traffic models for 3G cell written in c++ programming language that distributesusers in different zones assuming that the cell area is virtually divided into Z zones depending onthe number of users (1) (PDF) An algorithm for distributing users in virtual zones in a 3g cellular network. Available from: https://www.researchgate.net/publication/317949812_An_algorithm_for_distributing_users_in_virtual_zones_in_a_3g_cellular_network [accessed May 17 2022].
w. s. abughres, mikee. woodward(10-2006)

Joint user selection algorithm and fully digital Geometric Mean Decomposition (GMD)-based precoding scheme is considered in this paper for single Radio Frequency (RF) Space Modulation Techniques (SMTs), namely, Spatial Modulation (SM) and Space Shift Keying (SSK) schemes. The objective is to jointly perform the Frobenius norm-based user selection algorithm and design GMD-based precoded SMTs with single-RF chain in order to reduce the cost and the power consumption in Multiple Input Multiple Output (MIMO) systems, and to avoid the complicated bit-allocation problem of Singular Value Decomposition (SVD)-based precoding technique. Based on these schemes, the GMD-based precoding transmission carried out in the context of a single-user SMTs can readily be extended to the Multi-user (MU) case. Simulation results demonstrate that single-RF SMTs with GMD-based precoding scheme is capable of outperforming SMTs with SVD-based precoding technique. Meanwhile, MU-SMTs with GMD-based precoding scheme provide significant performance gains over the conventional SM- and SSK-MIMO counterparts and single-user SMTs with GMD-based precoding algorithm, which increase the energy efficiency and the reachability using these schemes. Furthermore, better error performance in MU-SMTs with fully digital GMD-based precoding technique is obtained by selecting any number of users. Therefore, MU-SMTs with GMD-based precoding scheme can be effectively used in various 5G wireless networks.
Taissir Y. Elganimi, Feras F. Alfitouri(1-2021)

Abstract The DC motor drives one of the high performance drives that still in competition in industrial application, because of its high performance, robustness, and its lower cost compared with AC motor drives.Due to its majority applications, the separately excited DC motor driver is studied. In order to improve, three independent controller design using classical proportional - integral – derivative, linear quadratic regulator and artificial neural network are considered.The Performance of these controllers has been verified through simulation based on MATLAB/SIMULINK software tools. According to the obtained simulation results, it is found that, an artificial neural network can achieve a better transient and steady state response in comparing to the other two design method. Consequently, the superiority of ANN controller over conventional proportional - integral – derivative is demonstrated this shows the superiority of artificial neural network controller over conventional and linear quadratic regulator controllers.
.زينب إبراهيم علي (2014)