الفهرس | Only 14 pages are availabe for public view |
Abstract Static spectrum allocation techniques are incapable of meeting the enormous demand for spectrum access posed by new wireless communication technologies such as 5G. This highlights the need for cognitive radio (CR) to enable dynamic spectrum access. The cognitive radio can sense the wideband spectrum, looking for spectrum holes that can be used by secondary users (SU). However, sensing the wideband spectrum necessitates the use of high-rate samplers, which are impractical due to hardware complications and high costs. As a result, compressive sensing (CS) was suggested to be used to sense the wideband spectrum with fewer number of measurements exploiting that the radio spectrum has a sparse representation due to its underutilization by primary users (PUs). In order to enhance spectrum sensing performance, researchers proposed to incorporate PU spectrum usage information into the process of spectrum sensing to improve spectrum sensing performance and reduce the number of compressive measurements required for spectrum recovery. Spectrum usage information can be obtained through pilot signals, geo-locational databases or through evaluation of previous spectrum sensing results. |