On Low-Complexity Spectrum Sensing: Analytical Approach Based Spatial Scanning

In this paper, we propose an analytical expression in order to fix the threshold of the spectrum sensing algorithm called maximum energy beamforming-output-to-input (MEBOI), that we have proposed recently. The threshold of MEBOI method was estimated using a heavy iterative algorithm. To avoid this issue, a theoretical development based on the probability of false alarm is provided here. Then, the validity of the expression is verified by simulations. After, the complexity order of the MEBOI technique is compared to the well-known maximum-to-minimum eigenvalue (MME) method based on eigenvalue decomposition. Finally, the performance of the proposal is evaluated and compared with existing state of the art algorithms. Simulation results show the ability of our approach to deal with the detection challenge under very low signal-to-noise ratio (SNR).