Performance analysis of adaptive power control based on Signal to Interference Ratio (SIR) using fuzzy genetic for WCDMA

The number of active users in a cell in the WCDMA system is very limited and influenced by co-channel interference and fading radio channels. Power control is needed to reduce interference by reducing the effects of near-far problem, co-channel interference and fading channels. WCDMA system is required power control that works fast and precisely because radio channels are changing randomly. Fuzzy Genetic Algorithm (FGA) gives the correct solution to the dynamic decision making problem under non-linear conditions, based on simple rules. This paper presents application of adaptive SIR based power control using the FGA on uplink WCDMA system, and compared to fixed step size method using computer simulation. The results confirmed that use of FGA on the SIR-based Power Control for WCDMA systems increases the number of active users while maintaining QoS standards. This is shown by the decline in value of outage probability compared to fixed step methods. Average outage probability at fixed power control step is 0.270036 while the FGA power control is 0.18465.