Improving Congestion control process in 3G mobile networks using intelligent agent

摘要

Radio Resource Management (RRM) becomes a challenging job for network providers when providing flexible, higher bandwidth services, and maintaining the best system capacity, which are the distinguishing features of 3G mobile communication systems. Call dropping, non-availability and poor network performance can lead to reduced revenue and customer dissatisfaction. To overcome the gap between expectations of service providers and customers, the introduction of concept of SLA (service level agreement) can be a potential solution. The basic idea behind underlying research is to manage these resources efficiently and dynamically in order to maintain QoS requirements according to SLA in a 3G. This work proposes the application of intelligent agents in SLA based control in resource management, especially when congestion occurs.