The next generation of mobile networks will support not just simple mobile connectivity but access to evolving smart space environments. It is expected that these systems utilise multiple radio access technologies, seamlessly integrated to form a heterogeneous wireless access network, thus enabling total ubitiqous computing. On the arrival of a service request from a smart space user or device, the network operator must assign one of the available access networks. Selecting the network that has the highest probability of providing the best Quality of Service (QoS) for a particular service type is an important consideration for overall network stability and QoS provisioning. In this paper we present aspects of intelligent radio resource management based on policy based call admission control to select the best available network and fuzzy logic based inter-system handover control. The admission controller admits a new user based on the current load and service mix in each available network. The fuzzy logic controller focuses on inter-system handover initiation so as to maintain satisfactory QoS to the end user, while limiting excessive inter-system handover attempts.

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Eliciting complex logical rules directly from logic-naïve subject matter experts (SMEs) is a challenging knowledge capture task. We describe a large-scale experiment to evaluate tools designed to produce SME-authored rule bases. We assess the quality of the rule bases with respect to the: 1) performance on the addressed functional task (military course of action (COA) critiquing); and 2) intrinsic knowledge representation quality. In the course of this assessment, we note both strengths and weaknesses in the state of the art, and accordingly suggest some foci for future development in this important technology area.

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