Abstract
Shadowing effect, caused by the obstructions in the propagation path, is inevitable in mobile radio environments and will cause large variation in the received signal strength. The spatial correlation of shadow fading is exponentially decayed with the increasing of propagation distance and is modeled by Gudmundson as a stochastic process. For a decade, the Gudmundson’s model for the spatial correlation of the shadowing is widely used for handoff and signals strength computation. However, none of papers has involved in the spatial correlation of total co-channel interference (CCI) according to the mobiles’ movement although the CCI have been discussed extensively. In this research we will propose a Gaussian-Markov model for the spatial correlation of total CCI and characterize the variations of total CCI with the simulation. When the co-channel interference is present, the carrier-to-interference ratio is a figure of merit commonly used for quantifying the transmission quality in wireless communications. We wish to capture the CIR behavior as far as possible. A similar model and a methodology will be developed for the variation prediction of the carrier-to-interference ratio in mobile communications with/ without multiple access interference in CDMA systems. The results show that the proposed models have high degree of accuracy to describe the spatial correlation properties and to predict the random behaviors of total CCI and the CIR in mobile communication with shadowing effect. Moreover, they can be applied to the applications such as handoff schemes design, link performance prediction, quality of service (QoS), downlink capacity analysis, and performance simulations, etc. in frequency-reused communications, such as 2G, 3G, and B3G.