Fuzzy-Based Spectrum Handoff and Channel Selection for Cognitive Radio Networks

Cognitive Radio Networks have changed the communication paradigm by opportunistically using available spectrum. In such networks, Secondary User vacates the channel when it detects the Primary User. The frequent channel switching degrades the throughput of Cognitive Radio Networks. Current schemes suggest only the selection of Primary Channel if there is not any licensed user available. We propose the fuzzy-based system to estimate gain of candidate channels so that the most advantageous channel can be selected. We also incorporate the Signal-to-Interference-plus-Noise Ratio with Primary User Interference to take handoff decision. We claim that Quality-aware channel selection along with primary user susceptibility is important to improve the throughput of Cognitive Radio Networks. Particularly, in multi-radio, multi-channel cognitive radio networks, the throughput can be increased by not only parallel transmissions but also by selecting the channels with higher channel gain.