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Recently, simultaneously transmitting and reflecting reconfigurableintelligent surfaces (STAR-RISs) have emerged as a novel technology thatfacilitates sustainable communication by providing 360 coverage and newdegrees-of-freedom (DoF) for manipulating signal propagation as well assimultaneous wireless information and power transfer (SWIPT). Inspired by theseapplications, this paper presents a novel STAR-RIS-aided secure SWIPT systemfor downlink multiple input single output (MISO) Rate-Splitting multiple access(RSMA) networks. The transmitter concurrently communicates with the informationreceivers (IRs) and sends energy to untrusted energy receivers (UERs). UERs arealso able to wiretap the IR streams. The paper assumes that the channel stateinformation (CSI) of the IRs is known at the transmitter. However, onlyimperfect CSI (ICSI) for the UERs is available at the transmitter. The paperaims to maximize the achievable worst-case sum secrecy rate (WCSSR) of the IRsunder a total transmit power constraint, a sum energy constraint for the UERs,and constraints on the transmission and reflection coefficients by jointlyoptimizing the precoders and the transmission and reflection beamforming at theSTAR-RIS. The formulated problem is non-convex with intricately coupledvariables, and to tackle this challenge a suboptimal two-step iterativealgorithm based on the sequential parametric convex approximation (SPCA) methodis proposed. Specifically, the precoders and the transmission and reflectionbeamforming vectors are optimized alternatingly. Simulations are conducted toshow that the proposed RSMA-based algorithm in a STAR-RIS aided network canimprove the secrecy of the confidential information and the overall spectralefficiency.

Secure SWIPT in STAR-RIS Aided Downlink MISO Rate-Splitting Multiple Access Networks