Implementation of a Fu y Inference Based Engine to Incorporate atterns of Customer sage in the Management of Third eneration 3 Systems

Third generation (3G) systems are those with enhanced capabilities of providing services and applications that reflect the convergence of mobile communications, the Internet, and multimedia applications. Despite the numerous exciting services and opportunities offered to both individual and business users by 3G, service provisioning is governed by very strict bandwidth limitations. The quality of service (QoS) model, or rather, classes of service model presented for 3G applications is very rigid given its total focus on technical perspectives and almost exclusion of the element of human perception of quality. User behavioural patterns can be such as user mobility (speed of user when service/application are being utilised within a cell), user location (e.g. at home, work, train), and the time of the day (24 hour timing). This paper proposes a QoS model for third-generation (3G) services as well as an introduction of a fuzzy inference based system to demonstrate how information about the user is incorporated into the process of network resource management by means of slicing such intelligence into profiles with respect to service provision