Register for free to
view the full innovation profile.
A technique which allows for under-sampling while still being able to achieve the goal of determining which sub-channels present opportunities for spectrum sharing.
About
Performance Metrics, Sampling Schemes, and Detection Algorithms for Wideband Spectrum Sensing At wide bandwidths, it will become impractical to sample the entire spectrum in order to detect the various sub-channel usage rates. It would be computationally unreasonable, and an optional and economic burden. Additionally, sampling the entire spectrum may not provide useful information when only a portion of it will eventually be used. This systems describes a technique which allows for under-sampling (i.e. sub-Nyquist sampling rates) while still being able to achieve the goal of determining which sub-channels present sufficient opportunities for spectrum sharing. Two new metrics are introduced - the probability of insufficient spectrum opportunities (P-ISO) and the probability of excessive interference opportunities (P-EIO). A ranked channel detection scheme is employed to compare channels for transmit decisions and is favorable to a channel-by-channel detection method.