ROPAS: Cross-layer Cognitive Architecture for Wireless Mobile Adhoc Networks

A gradual increase in bandwidth intensive traffic generated by personal high data rate applications has recently been observed in mobile adhoc network (MAN). The allocation of channel bandwidth dynamically without introducing interference among the existing users in the mobile networks is still an ongoing research challenge. Our research work presents a novel Rake Optimized Power aware Scheduling (ROPAS) architecture for MANs. Our proposed work deals with the utilization of Cognitive Radio (CR) for dynamic channel allocation among the requesting applications while limiting the average power transmitted in each sub-band. The unique feature of our novel ROPAS architecture lies in the cross-layer interaction by the CR between the MAC and PHY layers for its dynamic channel allocation. The proposed joint power control and link scheduling in the MAC layer reduces adjacent channel and multi-access interference introduced due to multiple access of links in our proposed MAN. Initial simulation results exhibit promising results but are not yet included in our research work.