English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In this paper, novel enhanced Cognitive Radio Network is considered by usingpower control where secondary users are allowed to use wireless resources ofthe primary users when primary users are deactivated, but also allow secondaryusers to coexist with primary users while primary users are activated bymanaging interference caused from secondary users to primary users. Therefore,a novel finite horizon adaptive optimal distributed power allocation scheme isproposed by incorporating the effect of channel uncertainties for enhancedcognitive radio network in the presence of wireless channel uncertainties undertwo cases. In Case 1, proposed scheme can force the Signal-to-interference(SIR) of the secondary users to converge to a higher target value forincreasing network throughput when primary users' are not communicating withinfinite horizon. Once primary users are activated as in the Case 2, proposedscheme can not only force the SIR of primary users to converge to a highertarget SIR, but also force the SIR of secondary users to converge to a lowervalue for regulating their interference to Pus during finite time period. Inorder to mitigate the attenuation of SIR due to channel uncertainties theproposed novel finite horizon adaptive optimal distributed power allocationallows the SIR of both primary users' and secondary users' to converge to adesired target SIR while minimizing the energy consumption within finitehorizon. Simulation results illustrate that this novel finite horizon adaptiveoptimal distributed power allocation scheme can converge much faster and costless energy than others by adapting to the channel variations optimally.

Finite Horizon Adaptive Optimal Distributed Power Allocation for Enhanced Cognitive Radio Network in the Presence of Channel Uncertainties