Cross-Layer Based Approach for Primary Signal Detection in Wireless Cognitive Networks (PREPRINT)

摘要

Cross-layer approach in cognitive wireless networks is proposed for efficient use of spectrum by detecting primary signals. The detection may be false detection of primary signal, missed detection of primary signal, or correct detection of primary signal. The quick and correct detection of primary signal will be helpful for utilization of the idle spectrum. In the current research, Su's algorithm was modified and proposed the RASH (Random Access by Sequential search and Hash organization) algorithm for quick detection of idle channel. Further a new model was introduced using Drake's equation for primary signal detection. The simulation results show that the proposed model can detect the primary signal accurately and will be helpful for better utilization of the idle spectrum.