On the Performance of an Improved Energy Detector with Threshold Modification for Cognitive Radio Networks

An Improved Energy Detector (IED) based on Nakagami-m fading channel and Maximal Ratio Combining (MRC) is presented in this paper. With the MRC, the IED is used uniformly, exponentially, and Multiple Input Multiple Output (MIMO). An optimization problem involving 𝑁 secondary users (SU) and one primary user (PU) is the subject of our research. Using Kummer’s solution for Cognitive Radio (CR), we can derive the expression for the likelihood of miss detection using p-based Energy Detection (ED). In order to enhance the detection performance, we perform threshold operations such as addition, subtraction, mean, and median. The error rate is also evaluated in terms of how well it performs. The generated expressions are tested for validity and accuracy using simulations. Combined correlated fading and static distance have a significant effect on detection performance over faulty CSI is also demonstrated in this study. Further, the impact of correlation coefficient is also examine through the simulation. We see that the antennas connected in an exponential manner perform much better than antennas connected in a uniform manner.