1. A method of sensing waveform spectrum, comprising the steps of: obtaining a radio, further comprising a cognitive radio engine adapted to examine a radiowave frequency band; an input in electrical communication with the cognitive radio engine; extracting signal features from a test frequency, further comprising: collecting at least one signal from the test frequency, wherein the signal comprises radio access technology information and at least one transmission parameter of the signal; inputting the at least one signal to the cognitive radio engine; determining radio access technology from the radio access technology information using a classifier selected from the group consisting of pattern recognition, neural networks, and statistical classification; extracting the at least one transmission parameter of the signal using at least one algorithm selected from the group consisting of energy detector or cyclostationary feature extraction fast Fourier transform time frequency transform, discrete Fourier transform, and inverse discrete Fourier transform; wherein a square of the fast Fourier transform output is compared to a threshold value to determine primary use in the test frequency; using the extracted signal features to identify primary use of a transmission spectrum; and exploiting the primary use for multi-dimensional spectrum characterization.