Utilizing user behavioural patterns in the management of future mobile communication networks

Best effort QoS provision is ensured through efficient management of the available network resources referred to as radio resource management (RRM). They are to be properly utilised to provide highly demanding services such as Web-based multimedia content and peer- to-peer networking. RRM is one key component of packet data services to ensure end-to - end QoS requirements efficiently. It is essential to the notion of QoS for its evolution to resolve users´ competition to utilise network resources according to service level agreements. Presently, mobile network infrastructures provide limited Internet -based services and short messaging services (text and multimedia) mainly due to the low bandwidth capacity and the high error rates associated with them. Certain multimedia and videoconferencing applications are experienced in the novel 3G systems but may not be up to the expectation of users. Based on the above, a potential solution to the issue of network resource management is proposed through the advance reservation of resources based on some user profile and an adaptive neuro-fuzzy inference based behavioural data engine that would be used to forecast quality- of-service (QoS) to be provided by the network.