Application of hybrid non-dominated sorting genetic algorithm-II and self-organizing map technique to interference management in homogenous frequency demand cellular network

The basic concept of frequency sharing in telecommunications is that different cells can use the same channel given that the cells are separated by a minimum reuse distance in accordance with the system propagation characteristics; otherwise, adjacent channel interference or co-channel interference occurs. In other words, quality of service, QoS, of a mobile communication system depends on effective frequency planning and allocation. Frequency allocation is characterized with some degrees of randomness; thus, the decision of optimal frequency allocation is most efficient with minimum cost criteria and often involves complex algorithms. Fundamentally, frequency allocation schemes fall within the general class of optimization problems because an efficient frequency allocation scheme should adapt to changing traffic conditions and must observe the minimum frequency reuse constraints. Thus, it is required of smart optimization mechanism for frequency assignment for interference management in cellular networks. This paper reports on the hybrid Non-dominated Sorting Genetic Algorithm-II and Self-Organising Map technique of interference management in homogeneous demand cellular network.