Optimal spectrum decision with channel quality considered in cognitive radio subnets

This paper formulates a new QoS model for a tree-based cognitive radio network (CRN) which is under test for communication in mountainous areas. The model takes spectrum quality into account, which results in a more complex spectrum decision involving 3-dimension information: cognitive users, spectrums and their quality for combination optimization making. An optimal algorithm with correctness and performance proofs is proposed to search the best solution among all possible candidates. Each candidate takes a form of extreme maximal bicliques (EMB) in a viewpoint of cognitive users and spectrums, or a user-spectrum space and the best one adds more rich features to EMB. Simulations with parameters coinciding with real application requirements and experiment data from many days of experiments are conducted, showing a real-time performance of the algorithm.