Ravi Patel;Aayush Singh;Keshav Singh;Shahid Mumtaz;Chih-Peng Li;Sudip Biswas
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We develop a optimization algorithm that leverages weighted minimum mean square error (WMMSE) and fractional programming techniques to maximize the weighted sum rate (WSR) for communication users while ensuring robust radar detection performance. Extensive simulations validate the superiority of active RIS-assisted DFRC systems over passive configurations, demonstrating substantial improvements in both communication and radar functionalities. Our results highlight the transformative potential of active RIS in revolutionizing 6G networks, enhancing their adaptability, efficiency, and capability to support future applications like autonomous driving and smart city infrastructures. This paper sets a new benchmark for integrating active RIS in DFRC systems, paving the way for advanced 6G technologies.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"6 ","pages":"4908-4922"},"PeriodicalIF":6.3000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11021473","citationCount":"0","resultStr":"{\"title\":\"An Active RIS-Aided DFRC System for Improved Multi-User Communications\",\"authors\":\"Ravi Patel;Aayush Singh;Keshav Singh;Shahid Mumtaz;Chih-Peng Li;Sudip Biswas\",\"doi\":\"10.1109/OJCOMS.2025.3573988\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The rapid evolution towards sixth-generation (6G) communications necessitates substantial enhancements in data rates, latency, and spectrum efficiency. Dual-functional radar and communication (DFRC) systems and reconfigurable intelligent surfaces (RIS) are pivotal technologies addressing these challenges. Accordingly, this paper introduces an innovative active RIS-aided DFRC system that transcends the limitations of passive RIS. Active RIS not only adjusts signal phases but also amplifies them, significantly boosting signal strength, coverage, and reliability, while also tackling interference and power constraints. We develop a optimization algorithm that leverages weighted minimum mean square error (WMMSE) and fractional programming techniques to maximize the weighted sum rate (WSR) for communication users while ensuring robust radar detection performance. Extensive simulations validate the superiority of active RIS-assisted DFRC systems over passive configurations, demonstrating substantial improvements in both communication and radar functionalities. Our results highlight the transformative potential of active RIS in revolutionizing 6G networks, enhancing their adaptability, efficiency, and capability to support future applications like autonomous driving and smart city infrastructures. 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An Active RIS-Aided DFRC System for Improved Multi-User Communications
The rapid evolution towards sixth-generation (6G) communications necessitates substantial enhancements in data rates, latency, and spectrum efficiency. Dual-functional radar and communication (DFRC) systems and reconfigurable intelligent surfaces (RIS) are pivotal technologies addressing these challenges. Accordingly, this paper introduces an innovative active RIS-aided DFRC system that transcends the limitations of passive RIS. Active RIS not only adjusts signal phases but also amplifies them, significantly boosting signal strength, coverage, and reliability, while also tackling interference and power constraints. We develop a optimization algorithm that leverages weighted minimum mean square error (WMMSE) and fractional programming techniques to maximize the weighted sum rate (WSR) for communication users while ensuring robust radar detection performance. Extensive simulations validate the superiority of active RIS-assisted DFRC systems over passive configurations, demonstrating substantial improvements in both communication and radar functionalities. Our results highlight the transformative potential of active RIS in revolutionizing 6G networks, enhancing their adaptability, efficiency, and capability to support future applications like autonomous driving and smart city infrastructures. This paper sets a new benchmark for integrating active RIS in DFRC systems, paving the way for advanced 6G technologies.
期刊介绍:
The IEEE Open Journal of the Communications Society (OJ-COMS) is an open access, all-electronic journal that publishes original high-quality manuscripts on advances in the state of the art of telecommunications systems and networks. The papers in IEEE OJ-COMS are included in Scopus. Submissions reporting new theoretical findings (including novel methods, concepts, and studies) and practical contributions (including experiments and development of prototypes) are welcome. Additionally, survey and tutorial articles are considered. The IEEE OJCOMS received its debut impact factor of 7.9 according to the Journal Citation Reports (JCR) 2023.
The IEEE Open Journal of the Communications Society covers science, technology, applications and standards for information organization, collection and transfer using electronic, optical and wireless channels and networks. Some specific areas covered include:
Systems and network architecture, control and management
Protocols, software, and middleware
Quality of service, reliability, and security
Modulation, detection, coding, and signaling
Switching and routing
Mobile and portable communications
Terminals and other end-user devices
Networks for content distribution and distributed computing
Communications-based distributed resources control.