Enhanced Resource Sharing Strategies for LTE Picocells with Heterogeneous Traffic Loads

In this paper, we address the problem of spectrum sharing for LTE pico cells (PCs) networks with heterogeneous traffic loads. Distributed mechanisms are designed to steer the PCs in selecting the most suitable resources so that the overall throughput is maximized. The goal is to respond to the real traffic needs, while ensuring users fairness. Dynamic Cooperative Algorithms (DCA) relying on information exchange between the PCs and Non Cooperative Algorithms (DNCA) relying only on local measurements are elaborated and compared through extensive simulations. Different propagation conditions and varied resource needs between the PCs are also considered. We demonstrate in this paper the performance gain brought by the cooperative solution comparing to the non cooperative one and we show the capability of the algorithm to dynamically adjust the allocated resources to the real traffic loads.