An intelligent method for resource management in wireless networks

In wireless cellular network, resource constraint has become a critical and important issue. Users always and everywhere expect telecommunication systems with the best quality. They also need visual and multimedia communication. So, an intelligent wireless network that has the ability to adapt to environment in different network traffics is needed. The intelligent network has the capability to decide and modify itself. One of these intelligent methods is the use of multi-agent system. The main criteria considered in resource management of cellular networks are rate of dropped calls and blocked calls. Blocked calls include new calls and dropped calls include calls which are made by transition a mobile from a cell to another cell. In this project, we take a look at former techniques and then we will propose solutions to reduce the two mentioned criteria based on intelligent agents. The main purposes of this article are: reducing dropped calls, reducing blocked calls and decreasing traffic load variance between several cells and balancing among them. The results show that implementing multi-agnet system concerning intelligence and using agnets in proposed method has noticeable improvement than other methods in decreasing blocked calls and dropped calls.