Abstract-With the unexpected increase of mobile data requests which overload the traffic control infrastructure of the network, operators are faced with a serious capacity management problem. In femtocell networks, bandwidth sharing paradigm constitutes an incentive solution for femtocells owners to offer a QoS guaranteed network access to mobile users in their femtocell coverage. In this paper, we consider a techno-economic bandwidth sharing model inspired from FON system and based on a reinforcement learning algorithm. Such a model does not allow the convergence of the learning algorithm because of the small size of the femtocells, the mobile users velocity and, more importantly, the randomness of their arrivals. In order to overcome the real-time constraints faced by this bandwidth sharing model, we propose to use a mobility prediction approach based on the analysis of movements history of the mobile users. Knowing the next visited cell in advance provides more time to mobile user to negotiate with the access provider and to generate synchronized resource reservation requests that maximize the gain of the access provider.

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Power consumption control paradigm constitutes an incentive solution for the serious energy issues faced by operators. In this work, we investigate two mobile users assignment strategies for energy management in heterogeneous LTE networks. Both strategies are based on greedy algorithms which are of low complexity and allow on-line approaches suitable for femtocells management issue. Moreover, as the femtocells can be switched off and the macrocells have to remain always on, both strategies aim at selecting the femtocells to deactivate. That is, the mobile user may be moved from a femtocell to a macrocell or the other way around. The move is legitimate if the power consumption is lower and only if the QoS of the user is not sacrificed. Using simulation and real network data, we assess the performances of proposed strategies, in terms of energy consumption and efficiency of the network, the percentage of served mobile users, the real allocated capacity and the number of deactivated femtocells.