Hybrid Deep Reinforcement Learning for Enhancing Localization and Communication Efficiency in RIS-Aided Cooperative ISAC Systems

• Published in: IEEE internet of things journal Vol. 11; no. 18; pp. 29494 - 29510
• Main Authors: Saikia, Prajwalita, Singh, Keshav, Huang, Wan-Jen, Duong, Trung Q.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 15.09.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Array signal processing; Base stations; Beamforming; Communication; Deep learning; Hybrid deep reinforcement learning (HDRL); integrated sensing and communication (ISAC); Internet of Things; Localization; Location awareness; Machine learning; Markov processes; Performance evaluation; Phase shift; Position errors; Position measurement; Position sensing; Radar; Radio equipment; Reconfigurable intelligent surfaces; Resource efficiency; squared position error bound (SPEB); Wireless communication

In this article, we propose a novel framework that combines simultaneous localization and communication (SLAC) using a reconfigurable intelligent surface (RIS) aided integrated sensing and communication (ISAC) systems. Our primary focus is on enhancing resource efficiency in such systems. We introdu...