Interference Management (1M) is one of the major \nchallenges of next generation wireless communication. Fractional \nFrequency Reuse (FFR) has been acknowledged as an efficient \n1M technique, which offers significant capacity enhancement and \nimprove cell edge coverage with low complexity. In literature, \nFFR has been analyzed mostly with cellular networks described \nby Hexagon Grid Model, which is neither tractable nor scalable \nto the dense deployment of next generation wireless networks. \nMoreover, the perfect geometry based grid model tends to \noverestimate the system performance and not able to reflect the \nreality. In this paper, we use the stochastic geometry approach, \nFFR is analyzed with cellular network modeled by homogeneous \nPoisson Point Process (PPP). A dynamic frequency allocation \nscheme is proposed which take into account the randomness \nof the cell coverage area describe by Voronoi tessellation. It is \nshown that the proposed scheme outperforms the traditional fixed \nfrequency allocation schemes in terms of per user capacity and \ncapacity density.
Rahat UllahNorsheila FisalHashim SafdarZubair KhalidWajahat MaqboolHanif Ullah
David González G.Mario García‐LozanoS. R. BequEMaría A. LemaDongSeop Lee
Rahat UllahNorshiela FisalHashim Safdar