An Evolutionary Game Theoretic Framework for Femtocell Radio Resource Management


Plug-and-play femtocells will be an integrating part of future cellular networks. Resource management and interference mitigation become difficult, affected by severely delayed network management in giant-scale deployments. We propose a brand new game theoretic framework, where quick interference suppression is decoupled from the comparatively slow frequency allocation method to tolerate the delayed management. The key idea is to cast femtocell clustering as an outer-loop evolutionary game as well as bankruptcy channel allocation, that drives the cells to spontaneously switch to less interfered clusters. Within every cluster, we have a tendency to design an inner-loop non-cooperative power management game, such that the need of prompt control is eliminated. The 2 loops interact recursively with analytically confirmed stability. Simulations show that our framework can improve the throughput by thirteen.two% during a network of 200 cells, compared to the prior art. The gain grows any with the network size.

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