Spectrum Detection in Cognitive Networks by Minimizing Hidden Terminal Problem

Abstract

In the wireless network, the node is visible but is not available for communication. Similarly, the primary signal is present and difficult to detect. The primary signal problem is similar to hidden node problem, but currently interpreted as false alarms. In this research, two models (probability based and Drake's equation) were designed and tested through simulations. The results show that Drake's equation with probability-based model performs better than basic probability-based model to detect the hidden signal.