Research and simulation of intelligent call admission control method

In CDMA systems, die number of users that each cell can support is limited by the total interference received at each base station and will vary with time. When a system is congested, admitting a new call can only make the link quality worse for ongoing calls and may result in call dropping. Thus the system needs a CAC (call admission control) policy for new calls and handoff calls to maintain acceptable connections for existing users. So in this paper, we propose a kind of intelligent CAC policy, which can adjust the CAC algorithm and its threshold according to the current traffic load in local and neighboring cells, and handoff user density etc. by fuzzy inference, system-level simulation and self-learning, and increase the whole system performance. Finally, we compare the method with stationary and uniform CAC policy, and analyze the possibility of this policy applying to the multi-service systems.