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The first- and sixth-order noise shapings are applicable for the conversion of narrow- and wideband signals, respectively.
It has been shown in [4, 5] that such tools are able to accurately predict narrow- and wideband propagation characteristics in microcellular outdoor scenarios.
These devices may be very wideband, or relatively narrow band.
In this paper, we presented some detailed theoretical analysis on the performance of detecting a narrow band PU by a wideband CR terminal.
From the theoretical analyses performed in the previous sections, we study the minimum required sensing time to reliably detect the narrow band PU by a wideband CR node with a given confidence level.
Alternatively, the RF end can use a sequence of narrowband bandpass filters to turn a wideband signal into narrow-band ones and sense each of them [41].
Recently, the wireless networks research community has taken considerable interest in concurrently utilizing the ultra wideband (UWB) spectrum with narrow-band systems to architect coexisting and cognitive spectrum solutions [1, 2].
A novel, compact, and highly selective ultra-wideband (UWB) bandpass filter with a narrow notched band is presented.
Figure 1 Linear ultra wideband spectrum scanning process for detecting a narrow band primary user: The frequency versus time plot.
A wideband signal can be divided into several narrow sub-bands (with different center frequencies), which can be further transformed into a group of signals (with a fixed center frequency) received from a virtual array.
The LTE system allows several reporting options for both wideband (over the system bandwidth) and subband (narrower than the system bandwidth) CQI, with the latter allowing exploitation of frequency selective fading.
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