Energy Efficiency Maximization in Multi-user Cooperative SWIPT-NOMA Networks with nonlinear EH and Imperfect SIC

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Abstract With the rapid growth of the Internet of Things, the demand for low-power, high-speed communication in terminal devices is increasing, highlighting the need for effective wireless resource allocation strategies. Non-Orthogonal Multiple Access improves spectral efficiency and multi-user access, and when combined with Simultaneous Wireless Information and Power Transfer, it enables simultaneous energy harvesting and information transmission. However, optimizing energy efficiency while balancing energy harvesting and information transmission in energy-constrained multi-user scenarios remains a challenge.This paper proposes a cooperative transmission algorithm for SWIPT-NOMA networks under nonlinear energy harvesting and imperfect successive interference cancellation conditions. The base station transmits information to all users, while cooperative users relay information to remote users, enhancing throughput and supplementing energy via wireless power transfer. The algorithm optimizes transmission time and power allocation to maximize energy efficiency, subject to constraints on user throughput, energy harvesting, and base station power.The problem is formulated as a Mixed-Integer Nonlinear Programming problem, which is transformed into a convex problem using the Dinkelbach and Successive Convex Approximation methods, with the Lagrangian dual method employed for the optimal solution. Simulation results show that the proposed algorithm achieves good convergence and outperforms benchmark schemes in terms of energy efficiency.
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Energy Efficiency Maximization in Multi-user Cooperative SWIPT-NOMA Networks with nonlinear EH and Imperfect SIC | 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 Energy Efficiency Maximization in Multi-user Cooperative SWIPT-NOMA Networks with nonlinear EH and Imperfect SIC Lei Song, Shuang Fu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8130154/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 6 You are reading this latest preprint version Abstract With the rapid growth of the Internet of Things, the demand for low-power, high-speed communication in terminal devices is increasing, highlighting the need for effective wireless resource allocation strategies. Non-Orthogonal Multiple Access improves spectral efficiency and multi-user access, and when combined with Simultaneous Wireless Information and Power Transfer, it enables simultaneous energy harvesting and information transmission. However, optimizing energy efficiency while balancing energy harvesting and information transmission in energy-constrained multi-user scenarios remains a challenge.This paper proposes a cooperative transmission algorithm for SWIPT-NOMA networks under nonlinear energy harvesting and imperfect successive interference cancellation conditions. The base station transmits information to all users, while cooperative users relay information to remote users, enhancing throughput and supplementing energy via wireless power transfer. The algorithm optimizes transmission time and power allocation to maximize energy efficiency, subject to constraints on user throughput, energy harvesting, and base station power.The problem is formulated as a Mixed-Integer Nonlinear Programming problem, which is transformed into a convex problem using the Dinkelbach and Successive Convex Approximation methods, with the Lagrangian dual method employed for the optimal solution. Simulation results show that the proposed algorithm achieves good convergence and outperforms benchmark schemes in terms of energy efficiency. SWIPT NOMA Imperfect SIC nonlinear EH User Cooperation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 09 Dec, 2025 Reviewers agreed at journal 01 Dec, 2025 Reviewers invited by journal 01 Dec, 2025 Editor assigned by journal 01 Dec, 2025 Submission checks completed at journal 20 Nov, 2025 First submitted to journal 16 Nov, 2025 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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