Adaptive power increase estimation in WCDMA

The paper suggests a method of predicting changes in the cell powers of a WCDMA network due to resource allocations such as admitting new users or changing bit rates. The method facilitates load control, admission control, and packet scheduling. The method makes no strict assumptions about the function that maps load influential parameters and changes in them to changes in the total received interference or the total transmission power of the cell. Instead, the method learns the mapping by monitoring power changes that are responses to performed resource allocations. The estimation of the unknown function is implemented with the kernel regression. The method was validated using a dynamic WCDMA system simulator with a deployment of micro cells on a city region whose measured propagation characteristics were incorporated into the model. The results showed that the proposed adaptive power increase estimation (PIE) method improved packet transport performance in comparison to a previously published fixed-formula PIE.