Abstract:

As an effective solution for indoor coverage and service offloading from the conventional cellular networks, femtocells have attracted a lot of attention in recent years. This study investigates the resource block (RB) and power allocation in heterogeneous network. Specifically, the concern here is to maximize the signal-to-interference-plus- noise-ratio (SINR) of macrocell and energy efficiency of femtocell while providing the finite interference. In this paper, the network model is divided into two layers, in which the macro base station and clusters constitute the first layer network; femtocells inside cluster make up the second layer. Because of the different model structure, different game theory is used in each layer. Stackelberg Game is used in the first layer, and non-cooperation game is used in the second layer. Meanwhile RB and power levels stand for the actions that are associated with each player in the game. The problem of resource allocation algorithm is formulated as a mixed integer programming problem. In order to minimize the complexity of the proposed algorithm, the resource allocation task is decomposed into two sub problems: a RB allocation and a power allocation. The simulation results are compared with the traditional methods, the analysis illustrates the proposed algorithm has a better performance regarding SINR and energy efficiency of the heterogeneous network.

Key words:

power allocation