Traffic models for 4G applications by considering intra-system interference

摘要

In the same frequency networking environment, the neighbor cell density is evenly user (neighboring cell are equal when the number of users), the total throughput of the single-user and the variation of the cell as follows: Network traffic prediction, data flow prediction model plays an important role. There are some differences in the data business model than traditional circuit domain model, the circuit domain model analysis usually discrete state Markov model, the existing network of environmental data and business user reach you obey Poisson distribution, long exponentially distributed service, and each user exclusive a channel resources. To improve data flow model consistency with the existing network, improve network planning rationality, based on the business itself and the community in line with the rate of change in the characteristics of a continuous process (and users to share data resources), and traffic flow model with the more common: such as roads and resources channel resources are shared resources, user rates are in line with the continuity of the trend. When a small number of users, the total throughput of the cell to maintain stability in the higher range, and the rapid decline in single-user rate trends; while large number of users, the total throughput of the cell to some extent, remain stable, and the single-user rate decreased gradually slowdown.