Iterative Approach to Stackelberg Power Control Game for Densely Deployed Co-channel Femtocells

To mitigate the co-tier and cross-tier interference in co-channel deployed femtocells an effective strategy is to employ a price-based power control game in which the macrocell base-station (MBS) controls the transmission power of the femtocell access points (FAPs) by pricing their cross-tier interference power subject to a maximal tolerable interference margin. But to realize a solution of the power control game in dense femtocell networks, a prohibitively large amount of background information needs to be exchanged among the femtocells which may not be feasible in practice. The calculation of optimal transmit power may also become computationally complex as well. So in this work, we propose an iterative approach for solving the power control game with very little background information exchange among the femtocells and without any computationally complex calculation. Also due to the distributed nature of the algorithm, the requirement of any centralized entity is avoided. The performance of the scheme is shown using numerical examples. The algorithm exhibits fast convergence behavior which make the algorithm well suited in practical scenario.