Performance Analysis of User-Centric Clustering Under Composite Fading Channels

In this paper, the issue of user-centric clustering in cloud radio access networks is investigated. Specially, the outage probability of the typical user is derived by taking void cell and composite fading into account. The locations of remote radio heads and users working on the same resource block are modeled as the Poisson point process (PPP) and Matern hard-core point process of type II (MHCPP), respectively. Due to intractability of MHCPP, the PPP-based approximation is adopted. Then the closed expression of Laplace transform of the probability density function of the interfering power under composite fading channels is derived by Gauss-Hermite quadrature. Based on the approximated PPP, we obtain the outage probability of the typical user with user-centric clustering in the presence of void cell. Finally, the outage probability with or without considering void cell is verified and analyzed under different system parameters (i.g., the density of nodes, the radius of cluster, and the threshold of signal quality) and channel fading conditions (i.g., the pathloss exponent, shadowing standard deviation) through extensive simulations. Simulation results show that the effect of void cell on the system performance should be considered, especially when the density of nodes or the size of cluster is limited.

Automated summary

This paper investigates user-centric clustering in cloud radio access networks, specifically the outage probability of the typical user considering void cell and composite fading. The locations of remote radio heads and users are modeled as the Poisson point process (PPP) and Matern hard-core point process of type II (MHCPP), respectively. Due to the complexity of MHCPP, a PPP-based approximation is adopted. The closed expression of Laplace transform of the probability density function of the interfering power under composite fading channels is derived using Gauss-Hermite quadrature. Based on the approximated PPP, the outage probability of the typical user in the presence of void cell with user-centric clustering is obtained. Simulation results show the importance of considering the effect of void cell on system performance, especially when the density of nodes or the size of the cluster is limited.