With the rapid development of technology, cellular networks in wireless networks are insufficient to meet the demands. In order to provide a correct and good service to each user, communication systems must change. Although cell-free networks have many advantages over cellular networks, since there are too many users and access points (APs) in cell-free networks, AP selection is very important. In this thesis, the AP selection model has been studied and compared five different machine learning classification methods. The campus of Izmir Katip Celebi University has been chosen as the environment where the study will be carried out, and capacity values have been obtained from the users and APs that have been placed on the campus in the simulation environment. Numerical calculation results have been obtained from the Wireless Insite (WI) software. The AP selection to be created with the capacity values has been supported by artificial intelligence algorithm techniques. With two different data sets have been compared, better results have been tried to be obtained with different feature values. As a result of the comparisons made, the best machine learning classification technique used has been proposed.
A band-pass filter is a wireless component that transmits frequencies within a certain range and attenuates frequencies outside that range. Band-pass filter (BPF) has been used as a core component for an Radio Frequency (RF) communication system. BPF generally designed based on transmission line resonators. Therefore, miniaturization of these components is important. In this study, a triangleshaped band-pass filter with a meander-line resonator and complement split-ring resonator (CSRR) defected ground structure (DGS) and not defected ground structure have been propose in this study. Four different band-pass filter designs have been simulated. In addition to comparing the CSRR DGS effect in different designs, it has been tried to get better results with added perturbation. The materials and thicknesses used in the filters kept constant. BPF fabricated on a standard h of 1 mm thick Rogers RO3003 substrate with dielectric constant ɛr of 3. It aimed to obtain better results by making only geometric changes. Making this geometric changes reliable more than one band-with ranges has been intended. Band-pass filter has been designed for 5 GHz frequency in Wi-Fi which also has been provided considerable results for 3.2 GHz. The numerical results has been compared with the results found in this study. Compared to used sources, more efficient results has been achieved.
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