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In this paper, we propose to jointly consider the performance of interrupted SUs and design an optimal spectrum handoff and power allocation strategy which achieves the performance optimization of all the SUs.
In this case, designing an optimal spectrum handoff scheme which offers quality of service (QoS) guarantee and performance enhancement of the SUs is of particular importance.
An optimal spectrum allocation may be performed in cognitive radio (CR) applications.
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To achieve optimal spectrum efficiency, the optimization approaches may, on the other hand, fail to provide QoS guarantees.
Duan and Li proposed a spectrum handoff strategy in which the optimal spectrum band was chosen based on a multiplex criterion considering the estimated transmission time, the PU presence probability and the spectrum availability time [17].
For an interrupted SU, the design of optimal spectrum handoff scheme is of particular importance for it may affect user quality of service (QoS) significantly.
Our benchmark is a protocol that belongs to the family of hypothetically optimal spectrum access protocols which has a wide-sense capability and a greedy spectrum approach in the sense that a SU-TX exploits the best spectral opportunity at the maximum permissible power/rate.
Compared to the structure A, the precoder B realizes the optimal spectrum shaping with lower EVM of data information at the cost of interfered pilot information.
Figure 7 Performance of tHoweverestoand lowest preducey users for the different WiMedia data rate modes.
Replicative fitness relates to an optimal mutant spectrum that provides the molecular basis for phenotypic flexibility, with implications for antiviral therapy.
In the first step, the proposed approach solves for an optimal input spectrum that minimizes the expected closed-loop error based on prior information given by data already available.
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CEO of Professional Science Editing for Scientists @ prosciediting.com