Towards introducing self-configurability in cognitive femtocell networks

Cognitive femtocells have an extra feature of utilizing spare spaces of primary users band for the indoor users. To achieve self-configurability in femtocell networks, we design a scheme where cognitive femtocells can follow a decision-making mechanism to organize themselves in different operation modes. We propose an algorithm for mode selection that can be utilized by femtocells to adaptively manage themselves in different modes to optimize the performance of the overall cross-tier macro-femto network. We show simulation results that illustrate how the self-configurability is implemented for femtocells. Hence femtocells can achieve better resource allocation and enhanced coverage advantages which eventually lead to better results in terms of a signal-to-interference-plus-noise ratio (SINR), spectral efficiency and overall network capacity.