Control strategies on cross-layer optimization within secondary spectrum access networks

Cross-layer optimization has been frequently considered as one solution for achieving more efficiency in wireless networks. Different scheduling algorithms can be implemented to satisfy specific requirements. With respect to spectrum allocation, conventional algorithms often do not employ advanced forms of priority scheduling for the assignment of transmission channels, thus resulting in the inefficient utilization of wireless network resources. To improve the utilization in this situation, we investigate three control strategies: master-slave configuration, multi supervisor, and floating supervisor, which can coordinate specific spectrum allocation efficiently and exchange their priorities. The proposed strategies apply different algorithms in order to utilize transmit power for improving system error robustness, utilize data rate to increase transmission bandwidth and information throughput, and utilize frame size to control the amount of information transmitted per burst. The simulation results of these algorithms are compared against each other. It can be observed from our research results that structures that are more complex generally achieve higher efficiency at the cost of increased delay.