Method ensuring electromagnetic compatibility with cognitive frequency resource allocation in a mobile communication system

Abstract

Запропоновано алгоритм розв’язання задачі оптимізації розподілу частотного ресурсу для мереж мобільного зв’язку. В основу алгоритму покладено метод локальної оптимізації – один з наближених методів дискретного програмування. В цьому випадку умовою локальної оптимальності є те, що робоча частота, яка присвоюється черговій абонентській станції повинна бути найближчою до присвоєної на попередньому кроці частоті, але при цьому повинні бути виконані вимоги електромагнітної сумісності.Individual elements of systems and networks using radio links, to interfere with other network elements, and in turn, they are subject to interference effects. Designed by many methods, techniques, theoretical studies devoted to improving the electromagnetic environment in radio, the problem of electromagnetic compatibility. We can assume that in a hospital, especially when considering dueling (transmitter – receiver) electromagnetic compatibility problems at the design stage is almost solved. The situation itself and the electromagnetic environment complicates the fact that this situation is often made various random factors that bear unpredictable character. Under these conditions in advance to calculate the electromagnetic environment and to solve the problem of electromagnetic compatibility with sufficient accuracy is not always possible, and often impossible due to a priori uncertainties. With the advent of mobile network signal and interference environment has become much more complicated. An increasing number of radio electronic devices for different purposes lead to the formation of the plural character of the electromagnetic interactions between them. At the same time it becomes even more fundamental shortage of frequency resources, exacerbated by the problem of electromagnetic compatibility. Find ways to solve this problem, you can use cognitive frequency resource allocation with frequency reuse. Cognitive system with the allocation of resources, including the frequency and must have selfmechanisms with different levels of ability to adapt to a changing radio environment. At the same time self-arrangements based on the principles of learning and artificial intelligence. When the cognitive spectrum distribution network, each subscriber station must continuously be monitored spectrum for the presence of free channels. The analysis results are transmitted base station, and it takes the final decision on channel availability. When deciding the base station based on results of spectrum analysis, the location information and the auxiliary information. An algorithm for solving the problem of optimizing the allocation of frequency resource for mobile networks. The algorithm is based on local optimization method – one of the approximate methods of discrete programming. In this case, local optimality condition is that the subscriber station is assigned the next operating frequency to be closest to the assigned frequency in the previous step, but it must be carried out electromagnetic compatibility conditions.