Stochastic geometry study on small cell on/off adaptation

Small cell enhancement has been considered as a promising way to cope with the rapid growth of need in mobile data traffic. However, it also leads to severe inter-cell interference, which means that some interference mitigation scheme is indispensable. Among lots of interference mitigation scheme, small cell on/off adaptation is thought to be an effective one. In this paper, small cells are modeled as a 2-D Poisson point process (PPP) based on stochastic geometry. And then the coverage probability of the small cell network can be derived as a tractable close-form expression. In addition, a Monte Carlo simulation is performed to verify the accuracy of the stochastic geometry model. Subsequently, the numerical results shows that small cell on/off adaptation can improve the receiving signal to interference plus noise ratio (SINR) of small cell downlink transmission by 4-6 dB. Meanwhile, the average ergodic transmission rate and power efficiency are both enhanced due to the improvement of the wireless environment.