Traffic modelling of low dense femtocellular network

The prime objective of LTE (Long-term evolution) mobile cellular network is to ensure high speed data with good QoS. In LTE femtocellular network the tiny femtocell are integrated with macrocell to transfer overflow traffic (off loading) from macrocell to femtocell. A dense femtocellular network experiences frequent handover and huge interferences. Therefore in traffic modelling two parameters: the availability of traffic channel and threshold SNR (signal to noise ratio) at receiving end need to be considered together. In this paper a complete analytical model of traffic of low dense femtocellular network is developed using two dimensional Markov chain. Finally received SNR of UE (user equipment) is incorporated with the probability states of network traffic and the analytical results are verified with simulation.