Dynamic channel assignment in mobile communications based on genetic algorithms

The dynamic channel assignment (DCA) in mobile communications systems using genetic algorithm (GA) is investigated in this research. Two new strategies using GA are proposed. In the first one, the channels previously assigned are kept locked during the call holding time (GAL). In the second one, the calls can be switched to different channels during the connection time (GAS). The performance of the proposed GA is evaluated in a 49 hexagonal cell arrangement operating under uniform and nonuniform traffic distributions. Numerical results show that the average call blocking probability of the GAS strategy is lower than the fixed channel assignment with borrowing directional channel-locked (BDCL) and DCA based on Q-learning. The performance of GAL strategy is better than Q-leaming-based DCA for all the investigated cases.