A novel cross layer design scheme based on principal component analysis in cognitive network

Cross layer design is a popular approach in mobile networks to combat the fast time-varying wireless characters. Cognitive network is also used for enhancing the networks´ adaptation. In this paper, we proposed a novel cross layer design scheme based on principal component analysis (PCA) in cognitive network. In purpose of making networks adaptive to the changes of the environment, the statistics method is employed in cross layer design. In this paper, the PCA is proposed to analyze the parameters in network and their influence on the network performance. By this way, the cross layer design in cognitive network can be more effective and accurate.