Multiparametric Assesment of the Conditional Channel of Multitarent Radio Communication Systems using Fuzzy Sets

Currently, software systems, which support the choice of solutions, are being actively developed. Among the factors that stimulate the development of this class of software systems, it should be mentioned that the increasing role of their use to solve poorly structured and difficult formalized tasks in the conditions of uncertainty, inaccuracy, incompleteness and inconsistency of the source data, the need to take into account the varied and dynamically changing parameters. In such circumstances, it is important to develop many parametric methods for evaluating complex objects and alternative solutions to improve the performance of multitenant system feeds. This research developed a multi-parameter method for evaluating the state of a multi-antenna radio communication channel using a fuzzy set theory. The scientific novelty of the proposed method consists in the fact that the fuzzy evaluation models included in the proposed method are proposed for the creation of software to support the choice of decisions, taking into account the hierarchical structure, interoperability and different significance of the evaluated indicators. According to the results of the research, it is found that the proposed method allows to increase the speed of estimation of the channel status of multi-antenna systems by up to 25% on the average, depending on the status of the channel fuzzy sets) and is able to adapt to the signaling environment in the channel by learning neural networks.