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In the context of Long-Term Evolution (LTE), the next generation mobile telecommunication network, femtocells are lowpower base stations that efficiently provide coverage and capacity indoors. This paper presents a computationally efficient dynamic system-level LTE simulator for enterprise femtocell scenarios. The simulator includes specific mobility and traffic and propagation models for indoor environments. A physical layer abstraction is performed to predict link-layer performance with low computational cost. At link layer, two important functions are included to increase network capacity: Link Adaptation and Dynamic Scheduling. At network layer, other Radio Resource Management functionalities, such as Admission Control and Mobility Management, are also included. The resulting tool can be used to test and validate optimization algorithms in the context of Self-Organizing Networks (SON).

Computationally-Efficient Design of a Dynamic System-Level LTE SimulatorThe Long-Term Evolution (LTE) is the next generation of current mobile telecommunication networks. LTE has a new flat radio-network architecture and a significant increase in spectrum efficiency. In this paper, a computationally-efficient tool for dynamic system-level LTE simulations is proposed. A physical layer abstraction is performed to predict link-layer performance with a low computational cost. At link layer, there are two important functions designed to increase the network capacity: Link Adaptation and Dynamic Scheduling. Other Radio Resource Management functionalities such as Admission Control and Mobility Management are performed at network layer. The simulator is conceived for large simulated network time to allow evaluation of optimization algorithms for the main network-level functionalities.