Convergence rate evaluation of a DS-CDMA cellular system with centralized power control by genetic algorithms

In this paper, we propose an approach to solving the power control issue in a DS-CDMA cellular system using genetic algorithms (GA). The transmitter power control developed in this paper has been proven to be efficient to control co-channel interference, to increase bandwidth utilization and to balance the comprehensive services that are shared among all the mobiles with attaining a common signal-to-interference ratio (SIR). In this paper, the optimal centralized power control (CPC) vector is characterized and its optimal solution for CPC is presented using GA, in which first in-first out (FIFO) stacks and nonlinear decreasing functions are derived in the investigation for enforcing the convergence rate. Emphasis is put on the balance of services and convergence rate by using GA.