Different noise analysis of relonfigurable intelligent surface assisted cammunilation systems

It is planned that the next generation communication systems will be designed to include features such as high efficiency, high transmission speed, and high user capacity, together with the developing technology. For this reason, it is tried to develop different systems that are candidates for new generation communication systems. Recently, the most popular and remarkable of these candidates has emerged as the adaptable intelligent surface (RIS) supported communication system models. In this thesis, firstly, error analyzes were performed in the presence of additive white generalized Gaussian noise (AWGGN) for a RIS supported single hop system. Then, error analysis in AWGGN conditions of a RIS supported communication system using the two-arm selection-joining technique is examined. The system models considered are assumed to be in Rayleigh damped channels and error analyzes are performed based on the probability density function. Evaluations of error expressions derived with different parameter values in system models is presented. As a result of the studies, the accuracy of the error statements made within the scope of this thesis has been tried to be shown by comparing them with full numerical simulations.