Robust Beamforming Design for NOMA System Assisted by STAR-RIS

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Abstract STAR-RIS represents an innovative technology that can simultaneously transmit and reflect signals, thereby extending the coverage from half space to full space. In practical situations, hardware failures at the base station's transmission and reception ends inevitably lead to distorted noise and performance degradation. To address this issue, this study proposes a revolutionary non-orthogonal multiple access (NOMA) system aided by STAR-RIS and explores the robust beamforming design of communication systems in the context of transceiver hardware damage. This work focuses on the joint optimization of active beamforming, transmission and reflection beamforming, power allocation factors, and decoding order for the purpose of optimizing the achievable total rate. A location-based matching algorithm has been introduced to facilitate subchannel allocation, allowing reflection and transmission users to be grouped on designated subchannels while determining the decoding order through optimizing the total channel gain. Furthermore, active beamforming optimization is done using the successive convex approximation approach, while transmission and reflection beamforming are optimized using the convex upper bound approach. Finally, optimize the power distribution coefficients. Numerical simulations indicate that the STAR-RIS-NOMA system exhibits greater resilience to hardware failures compared to the traditional non-robust RIS-NOMA system, which neglects the impact of hardware damage.
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Robust Beamforming Design for NOMA System Assisted by STAR-RIS | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Robust Beamforming Design for NOMA System Assisted by STAR-RIS Kunyu Li, Guoping Zhang, Hongbo Xu, Xingxing Huang, Ze Wang, Fanrui Yin This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5913622/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract STAR-RIS represents an innovative technology that can simultaneously transmit and reflect signals, thereby extending the coverage from half space to full space. In practical situations, hardware failures at the base station's transmission and reception ends inevitably lead to distorted noise and performance degradation. To address this issue, this study proposes a revolutionary non-orthogonal multiple access (NOMA) system aided by STAR-RIS and explores the robust beamforming design of communication systems in the context of transceiver hardware damage. This work focuses on the joint optimization of active beamforming, transmission and reflection beamforming, power allocation factors, and decoding order for the purpose of optimizing the achievable total rate. A location-based matching algorithm has been introduced to facilitate subchannel allocation, allowing reflection and transmission users to be grouped on designated subchannels while determining the decoding order through optimizing the total channel gain. Furthermore, active beamforming optimization is done using the successive convex approximation approach, while transmission and reflection beamforming are optimized using the convex upper bound approach. Finally, optimize the power distribution coefficients. Numerical simulations indicate that the STAR-RIS-NOMA system exhibits greater resilience to hardware failures compared to the traditional non-robust RIS-NOMA system, which neglects the impact of hardware damage. active beamforming transmission and reflection beamforming non-orthogonal multiple access hardware damage reconfigurable intelligent surfaces Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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