Uplink admission control for conversational services using information from many cells

The 3G cellular mobile systems based on WCDMA technology are expected to be interference limited. In this case, the radio resource availability in a cell will depend on the number and the type of users in both that cell and the surrounding cells. Consequently, heavier traffic may be allowed in a cell without quality degradation, if there is less traffic in the surrounding cells. This paper presents two uplink session admission control algorithms that exploit the natural traffic variation between cells, using a mechanism for exchanging information between cells. The first algorithm is based on an empirical model of the total power received by a base station, while the second is a suboptimal version of the first. Results from simulated scenarios show that user quality can be maintained while unnecessary call blocking is avoided, which can lead to a capacity increase of 10-20% even if a suboptimal approach is taken.