Performance Bounds of Energy Detection With Signal Uncertainty in Cognitive Radio Networks
The harmonic coexistence of Secondary Users (SUs) and Primary Users (PUs) in cognitive radio networks requires SUs to identify the idle spectrum bands. One common approach to achieve spectrum awareness is through spectrum sensing, which usually assumes known distributions of the received signals. However, due to the nature of wireless channels, such an assumption is often too strong to be realistic, and leads to unreliable detection performance in practical networks. In this paper, the authors study the sensing performance under distribution uncertainty, i.e., the actual distribution functions of the received signals is subject to ambiguity and not fully known.