In other words, the detection agility can be improved by 630%.
Considering the criterion of maximizing detection agility, numerical approach to obtain the optimal relay policy is introduced, and the agility gain is also analyzed.
Considering the criterion of maximizing detection agility, we showed that, although the performance of relaying SU was inevitably impaired, detection agility of the whole CR network could be improved by as much as 630% via choosing an optimal relay policy.
Many criteria can be implemented to find an optimal η, and this paper gives two examples of balancing detection accuracy and maximizing detection agility.
Especially, when γ 2 = −15 dB and η>0.5, τ η is smaller than 1, which indicates that the detection agility turns worse after partial relay.
Moreover, this paper investigates how much of the detection period should be used for partial relay and deduces the optimal relay policy under the criteria of balancing detection accuracy and maximizing detection agility.
In partial scenarios, if S U 2 spends η opt portion of its detection period acting as the relay node, detection agility of the entire CR network can be maximized eventually.
Furthermore, in order to highlight the benefit of partial relay-based cooperation, this paper compares its detection agility with that of non-cooperation and defines the agility gain as follows, tau_{eta} triangleq frac{Eleft{T_{0}right}}{Eleft{T_{eta}right}}, (32).
We categorized patients based on the presence or absence of high rate detection and delayed detection: higher rate delayed detection (HRDD), higher rate early detection (HRED), lower rate delayed detection (LRDD), and lower rate early detection (LRED).
Reconfigurable batch processes have higher agility and flexibility than multi-purpose, multi-product, dedicated batch and continuous processes.
