Increasing data rate for even more services with less waiting possible and regardless of where the user is located. Here the goal, each time more ambitious, that sets a new generation of cellular networks in order to answer increasing demands of mobile users.
The main objective of this dissertation is to take into account uncertainties in the deployment of Long Term Evolution mobile networks from the perspective of economic optimization. Using algorithmic game theory, we first study the problem of network sharing by two mobile operators. The objective is to maximize the total profits of both operators. With this approach, we are able to identify the optimal deployment strategy of a mobile operator on a given set of sites. We then derive the number of users per site that is assigned to this operator. Finally, we study the impact of user mobility on the design of an operator’s X2 links. This study allows us to design an optimal sizing of these links which guarantees a certain quality of service to customers, according to their number and their use of services.