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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Cognitive radio (CR) and non-orthogonal multiple access (NOMA) have beendeemed two promising technologies due to their potential to achieve highspectral efficiency and massive connectivity. This paper studies amultiple-input single-output NOMA CR network relying on simultaneous wirelessinformation and power transfer (SWIPT) conceived for supporting a massivepopulation of power limited battery-driven devices. In contrast to most of theexisting works, which use an ideally linear energy harvesting model, this studyapplies a more practical non-linear energy harvesting model. In order toimprove the security of the primary network, an artificial-noise-aidedcooperative jamming scheme is proposed. The artificial-noise-aided beamformingdesign problems are investigated subject to the practical secrecy rate andenergy harvesting constraints. Specifically, the transmission powerminimization problems are formulated under both perfect channel stateinformation (CSI) and the bounded CSI error model. The problems formulated arenon-convex, hence they are challenging to solve. A pair of algorithms eitherusing semidefinite relaxation (SDR) or a cost function are proposed for solvingthese problems. Our simulation results show that the proposed cooperativejamming scheme succeeds in establishing secure communications and NOMA iscapable of outperforming the conventional orthogonal multiple access in termsof its power efficiency. Finally, we demonstrate that the cost functionalgorithm outperforms the SDR-based algorithm.

Artificial Noise Aided Secure Cognitive Beamforming for Cooperative MISO-NOMA Using SWIPT