Enhancing Uplink Communication in Wireless Powered Communication Networks Through Rate-Splitting Multiple Access and Joint Resource Optimization
Wireless powered communication networks (WPCNs) provide a sustainable solution for energy-constrained IoT devices by enabling wireless energy transfer (WET) in the downlink and wireless information transmission (WIT) in the uplink. However, their performance is often limited by interference in uplin...
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MDPI AG
2025-03-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/13/5/888 |
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| author | Iqra Hameed Mario R. Camana Mohammad Abrar Shakil Sejan Hyoung Kyu Song |
| author_facet | Iqra Hameed Mario R. Camana Mohammad Abrar Shakil Sejan Hyoung Kyu Song |
| author_sort | Iqra Hameed |
| collection | DOAJ |
| description | Wireless powered communication networks (WPCNs) provide a sustainable solution for energy-constrained IoT devices by enabling wireless energy transfer (WET) in the downlink and wireless information transmission (WIT) in the uplink. However, their performance is often limited by interference in uplink communication and inefficient resource allocation. To address these challenges, we propose an RSMA-aided WPCN framework, which optimizes rate-splitting factors, power allocation, and time division to enhance spectral efficiency and user fairness. To solve this non-convex joint optimization problem, we employ the simultaneous perturbation stochastic approximation (SPSA) algorithm, a gradient-free method that efficiently estimates optimal parameters with minimal function evaluations. Compared to conventional optimization techniques, SPSA provides a scalable and computationally efficient approach for real-time resource allocation in RSMA-aided WPCNs. Our simulation results demonstrate that the proposed RSMA-aided framework improves sum throughput by 12.5% and enhances fairness by 15–20% compared to conventional multiple-access schemes. These findings establish RSMA as a key enabler for next-generation WPCNs, offering a scalable, interference-resilient, and energy-efficient solution for future wireless networks. |
| format | Article |
| id | doaj-art-e7117a4f9a7442858eea51fd8a41ae06 |
| institution | DOAJ |
| issn | 2227-7390 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj-art-e7117a4f9a7442858eea51fd8a41ae062025-08-20T02:53:22ZengMDPI AGMathematics2227-73902025-03-0113588810.3390/math13050888Enhancing Uplink Communication in Wireless Powered Communication Networks Through Rate-Splitting Multiple Access and Joint Resource OptimizationIqra Hameed0Mario R. Camana1Mohammad Abrar Shakil Sejan2Hyoung Kyu Song3Department of Information and Communication Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Republic of KoreaInterdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, 4365 Luxembourg, LuxembourgDepartment of Electrical Engineering, Sejong University, Seoul 05006, Republic of KoreaDepartment of Information and Communication Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Republic of KoreaWireless powered communication networks (WPCNs) provide a sustainable solution for energy-constrained IoT devices by enabling wireless energy transfer (WET) in the downlink and wireless information transmission (WIT) in the uplink. However, their performance is often limited by interference in uplink communication and inefficient resource allocation. To address these challenges, we propose an RSMA-aided WPCN framework, which optimizes rate-splitting factors, power allocation, and time division to enhance spectral efficiency and user fairness. To solve this non-convex joint optimization problem, we employ the simultaneous perturbation stochastic approximation (SPSA) algorithm, a gradient-free method that efficiently estimates optimal parameters with minimal function evaluations. Compared to conventional optimization techniques, SPSA provides a scalable and computationally efficient approach for real-time resource allocation in RSMA-aided WPCNs. Our simulation results demonstrate that the proposed RSMA-aided framework improves sum throughput by 12.5% and enhances fairness by 15–20% compared to conventional multiple-access schemes. These findings establish RSMA as a key enabler for next-generation WPCNs, offering a scalable, interference-resilient, and energy-efficient solution for future wireless networks.https://www.mdpi.com/2227-7390/13/5/888rate-splitting multiple access (RSMA)wireless powered communication networks (WPCNs)wireless energy transfer (WET)wireless information transmission (WIT)sum throughput maximizationfairness optimization |
| spellingShingle | Iqra Hameed Mario R. Camana Mohammad Abrar Shakil Sejan Hyoung Kyu Song Enhancing Uplink Communication in Wireless Powered Communication Networks Through Rate-Splitting Multiple Access and Joint Resource Optimization Mathematics rate-splitting multiple access (RSMA) wireless powered communication networks (WPCNs) wireless energy transfer (WET) wireless information transmission (WIT) sum throughput maximization fairness optimization |
| title | Enhancing Uplink Communication in Wireless Powered Communication Networks Through Rate-Splitting Multiple Access and Joint Resource Optimization |
| title_full | Enhancing Uplink Communication in Wireless Powered Communication Networks Through Rate-Splitting Multiple Access and Joint Resource Optimization |
| title_fullStr | Enhancing Uplink Communication in Wireless Powered Communication Networks Through Rate-Splitting Multiple Access and Joint Resource Optimization |
| title_full_unstemmed | Enhancing Uplink Communication in Wireless Powered Communication Networks Through Rate-Splitting Multiple Access and Joint Resource Optimization |
| title_short | Enhancing Uplink Communication in Wireless Powered Communication Networks Through Rate-Splitting Multiple Access and Joint Resource Optimization |
| title_sort | enhancing uplink communication in wireless powered communication networks through rate splitting multiple access and joint resource optimization |
| topic | rate-splitting multiple access (RSMA) wireless powered communication networks (WPCNs) wireless energy transfer (WET) wireless information transmission (WIT) sum throughput maximization fairness optimization |
| url | https://www.mdpi.com/2227-7390/13/5/888 |
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