This thesis analyses the signaling load in intelligent large scale networks as well as the network selection strategies in the heterogeneous environment. The main objective of Intelligent Networks (IN) is to simplify the introduction of new services based on new features and more flexibility. The main components of the IN are the Service Switching Point (SSP) and the Service Control Point (SCP).The location of intelligent large-scale network equipments and the distribution of traffic on them can play an important role in reducing the volume of signaling in the network. In the firstpart of this thesis, we examine various configurations of the IN in order to study the effect of displacement or addition of new SSP and redistribution of traffic within the network on therequired number of signaling links. Finally, we propose a new algorithm giving the optimal distribution of traffic on the SSPs with a minimum required number of signaling links.In the second part of the thesis, we analyze the different network selection strategies as well as simulate other approaches related to heterogeneous wireless environment. Indeed, in the next generation of wireless heterogeneous networks, mobile users can move between several types ofnetworks, using terminals with multiple access interfaces. In this environment, the mobile terminals are able to choose the most appropriate access link among the available alternatives. In our work, we propose a network selection strategy based on the estimated SINR value (Signal to Interference-plus-NoiseRatio) in a heterogeneous system composed of two types of network: LTE and WiFi. According to this strategy, users always select the network presenting the highest SINR value. Based on the Markov method, we analyze the system performance in terms of blocking probabilities of calls, blocking probabilities of vertical or horizontal handover and connection quality. We compare our results with two other strategies based on the received signal strength and on the bandwidth availability.The performances are analyzed and compared according to the 2D fluid flow and the Random Waypoint mobility models which are widely used in the analysis of wireless and mobile networks. Finally, we analyze the influence of the resource blocks allocation to services Multicast and Unicast on the system performance.
