Graph-based femtocell enhanced universal resource allocation strategy for LTE-A HetNets

With the remarkable advantage in whole area coverage support and indoor cellar capacity improvement, femtocell is considered as an important component in next generation networks, which leads to a more complex interference scenery. In this paper, we consider a two layer LTE-A HetNets, which comprised with one MBSs in the first tier and some FBSs in the other tier. Under this architecture, how to improve the spectrum usage efficient and relieve the interference between different user equipments (UEs) at the same time remain a longstanding challenge. A series of sub-channel allocation heuristic algorithms, named hybrid clustering mixed Dastur (HD) series algorithm including T-HD, HD-FU and HD-MU algorithms, are developed via the graph-theoretic approaches to optimize the femtocell throughput in dense femtocells deployment scenarios, in which the optimal sub-band allocation problem is managed through a MAX-K cut problem management scheme. System level simulations indicates that the spectrum efficient is improved obviously and femtocell users (FUE) throughput has been boosted significantly without causing a visibly degradation in macrocell users (MUE) throughput.