Fuzzy Logic for Cross-Layer Optimization in Cognitive Radio Networks
The search for the ultimate architecture for cross-layer optimization in cognitive radio networks is characterized by challenges such as modularity, interpretability, imprecision, scalability, and complexity constraints. In this paper, the authors propose fuzzy logic as an effective means of meeting these challenges, as far as both knowledge representation and control implementation are concerned. Today's mobile devices offer several communication capabilities: smart phones, laptops and PDAs are often equipped with several interfaces, such as GSM/GPRS, UMTS, Bluetooth and 802.11; more technologies, such as WiMAX and 802.22, are expected to become popular in the near future. These devices are used for a wide range of applications, such as e-mail, VoIP, web browsing and audio/video, just to name the most popular ones.