  This paper introduces the Hybrid Architecture of Dynamic Spectrum Allocation
in the hierarchical network combining centralized and distributed architecture
to get optimum allocation of radio resources. It can limit the interference by
interacting dynamically and enhance the spectrum efficiency while maintaining
the desired QoS in the network. This paper presented dynamic framework for the
interaction. The proposed architecture employed simple learning rule based on
hebbian learning for sensing the primary network and allocating the spectrum.
