Secrecy Analysis of Reconfigurable Underlay Cognitive Radio Networks With SWIPT and Imperfect CSI

Thakur, Anshu; Kumar, Ajeet; Gupta, Nitin; Chatterjee, Pushpita

doi:10.1109/tnse.2020.3040531

Cited by 11 publications

(2 citation statements)

References 41 publications

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“…Select a guide solution from the solution archive based on (26). Store and evaluate newly generated solution Increase iteration index, i q = i q + 1.…”

Section: B Proposed Sdr-based Scheme For Lower-level Variablesmentioning

confidence: 99%

“…Note that we have assumed that that any interference originating from the PT to the SUs can be neglected as commonly made in relevant literature on CR [25], [26], [27]. However, if the interference from the primary network is required to be considered, it can be modeled as AWGN as described in [39], [40].…”

Section: B Proposed Sdr-based Scheme For Lower-level Variablesmentioning

confidence: 99%

See 1 more Smart Citation

Rate-Splitting Multiple Access for Secure Communications Over CR MISO SWIPT Systems With Non-Linear EH Users

Garcia,

Camana,

Querol

et al. 2024

IEEE Trans. on Green Commun. Netw.

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In this paper, we investigate a secure transmission for a rate-splitting multiple-access (RSMA)-based multiple-input single-output (MISO) underlay cognitive radio (CR) system. The proposed network is composed of a set of secondary users (SUs) that utilize simultaneous wireless information and power transfer (SWIPT) technology and an additional set of non-linear energy harvesting (EH) users. Moreover, the system model under consideration is exposed to multiple eavesdroppers. Thus, we propose to minimize the transmit power intended to the SUs and EH users while maximizing the artificial noise (AN) generated by the secondary transmitter, aiming to counter eavesdroppers' wiretaps while satisfying the quality-of-service constraints. Therefore, we develop a novel approach based on ant colony regression (ACOR) and semidefinite relaxation (SDR) methods to solve the challenging and non-convex problem which is further transformed into a bilevel optimization problem. Afterward, we investigate a comparative solution based on the particle swarm optimization (PSO) algorithm, the successive convex approximation (SCA) technique, and analyze the incidence of linear and non-linear EH designs. In addition, we compare the RSMA-based scheme with non-orthogonal multiple-access (NOMA), space-division multiple access (SDMA), and zeroforcing (ZF) techniques. Satisfactorily, simulation results prove the proposed ACOR-SDR framework achieves better performance and lower complexity than its counterparts.

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“…Select a guide solution from the solution archive based on (26). Store and evaluate newly generated solution Increase iteration index, i q = i q + 1.…”

Section: B Proposed Sdr-based Scheme For Lower-level Variablesmentioning

confidence: 99%