Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE credits
Cognitive Radio Network (CRN) has an important role in next generation wireless
networks; it can potentially provide higher performance of wireless communication
networks in terms of reliability, scalability, stability and spectrum efficiency.
Cognitive radio networks are on the basis of radio nodes equipped with a cognitive
engine (CE); it can manage spectrum and change transmission parameters using
artificial intelligence methods in particular bio-inspired optimization methods.
This study investigates spectrum management problem in cognitive ad hoc network
in particular mobile ad hoc network with cognitive nodes. The spectrum
management problem can be summarized as channel allocation and cluster
formation problems that are both multi-objective combinatorial optimization
problems, which can be addressed with bio-inspired optimization algorithms, i.e.,
genetic algorithms and swarm intelligence methods. In this thesis the focus are on
the convergence characteristics and multi-objective functions.
2013. , 59 p.