Integrated hybrid channel assignment and distributed power control in wireless mobile networks using evolution strategy

The primary goal of a cellular radio system is to provide communication services to a large number of mobile users. However, the increasing demand of new services in this field is in contrast to the limited resources such as radio spectrum and transmitter power available in the current communication systems. As the number of mobile users grows rapidly, available channels and transmitter power must be used efficiently to improve the system capacity. The role of Channel Assignment is to allocate channels to cells or mobiles in such a way as to minimize call blocking or call dropping probabilities, as well as to maximize the quality of service. On the other hand, the role of power control is to assign power level to each transmitter so that the signal quality is maintained and interference is minimized. Existing papers have focused on optimizing the assignment of channels assuming that the allocation of transmitter power is known and fixed and vice versa.;In this thesis, we develop an efficient evolution strategy to address the problem of integrating Channel Assignment and Power Control. The proposed approach uses an efficient problem representation, defines an appropriate fitness function and mutation operators to optimize both Channel Assignment and Power Control. Our experiments and discussions show better system capacity, decrease in the blocking probability while maintaining the desired carrier-to-interference (CIR) ratio compared to the experiments done in literature employing only Channel Assignment.