Energy Detection Based Spectrum Sensing for Rural Area Networks

Abstract

Remote and rural areas are a challenge to deploy cost-efficient connectivity solutions. 5G technology needslower frequencies, which calls for spectrum sharing for local networks. Spectrum sensing could complementtraditional database approach for spectrum sharing in these areas. This paper studies a windowing based(WIBA) blind spectrum sensing method and compares its performance to a localization algorithm based ondouble-thresholding (LAD). Both methods are based on energy detection and can be used in any band fordetecting rather narrowband signals. Probabilities of detection and false alarm, relative mean square error,number of detected signals and detection distances were evaluated in multipath, multi-signal and rural areachannel conditions. The simulation results show tha the WIBA method is suitable for 5G remote areas, dueto its good detection performance in low signal-to-noise ratios (SNR) with low complexity. Results also showimportance of the detection window selection.

Keywords

• signal detection
• spectrum utilization
• 5g system
• overlapping
• energy detector