Evolutionary computation and power control for radio resource management in CDMA cellular radio networks

This paper has proposed the distributed power control (PC) algorithms that employ two evolutionary computation (EC) techniques in order to solve linear systems of equations for power update in CDMA cellular radio systems. The proposed algorithms are developed by applying evolutionary computation algorithms with the phenotypic and genotypic views to the CDMA power control problem. The major gain from the applied evolutionary computation algorithms is more rapid optimization on linear systems of equations compared with the simple genetic algorithm (GA). Employing the distributed constrained power control (DCPC) as a basic reference algorithm, we have designed and implemented computational experiments on the DS-CDMA system. The results indicate that the proposed algorithms significantly enhance the optimization and calculation speed of power control. The proposed algorithms are also compared with the bang-bang type algorithm used in the IS-95 and the W-CDMA systems. The results show that the proposed the EC-DCPC phenotypic and GAPC genotypic algorithms also have a high potential advantage for increasing the CDMA cellular radio network capacity and decreasing the mobile terminal power consumption.