Stochastic Geometry based Analysis of Downlink Coverage for macro-Cellular Network under Different Association Criteria

摘要

Future mobile networks should support huge number of customers with high data rates and the current 4G networks are being transformed from 4G to 5G. The deployment of cells with limited range by reusing spectrum is one of the solution which can fulfill this demand. However, the conventional coverage necessity for cell edge remote users is most necessarily met with cells having the large range, i.e. the customary macro cellular design. In modern mobile networks, coverage is quite important than the power requirement of signal as modern receivers are powerful enough to overcome the minimum threshold level. Thus, coverage is an important metric in these cellular networks. Coverage has the relationship with the Signal-to-Interference plus Noise Ratio (SINR). Association criteria plays an important role in modifying the SINR results. Thus, the focus of this research is on SINR parameter to analyze downlink coverage under different camping criteria using stochastic geometry. The simulation results have been obtained for the analytical results of coverage using stochastic geometry under nearest and strongest criteria of association to provide insights about the coverage of cellular network users. The simulation results are quitely fitting to the analytical results. The results indicate that the coverage under maximum instantaneous power is higher than the nearest camping rule.