Uplink Performance Analysis for Millimeter Wave Cellular Networks With Clustered Users

Abstract

The upcoming wireless cellular networks will make use of higher segments of the frequency spectrum, i.e., millimeter wave (MMW) bands, for enabling extremely high data rates to support content-rich applications. In this paper, we investigate the uplink performance of MMW cellular networks with clustered users. By modeling the locations of users as a Poisson Cluster Process (PCP), we derive tractable expressions to evaluate the signal-to-interference-and-noise-ratio (SINR) coverage probability for two user association strategies, i.e., the closest selection (CS) strategy, where the nearest LoS BS serves the user and the strongest-selection (SS) strategy, where the user communicates with the BS that provides the most significant received signal among all BSs. Numerical results are provided to validate the accuracy of the analytical model under various system parameters. The results show that regarding SINR coverage probability, the SS strategy outperforms the CS strategy in the environment with dense blockages. The results also demonstrate that the moderate fractional power control (FPC) factors should be used at the low SINR thresholds, while full FPC is optimal for the high SINR thresholds.