Unique Compressive Sampling Techniques for Wideband Spectrum Sensing

Abstract

Dynamic Spectrum Allocation of 5G networks via direct sampling poses significant processing challenges to embedded processing used in Cognitive Radios. This paper proposes two new compressive sampling techniques to reduce both data throughput and hardware complexity, maximizing the potential of direct sampling for spectrum sensing applications.