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DRL-Based Dynamic Channel Access and SCLAR Maximization for Networks Under Jamming
This paper investigates a deep reinforcement learning (DRL)-based approach for managing channel access in wireless networks.
Joint Devices and IRSs Association for Terahertz Communications in Industrial IoT Networks
The Industrial Internet of Things (IIoT) enables industries to build large interconnected systems utilizing various technologies that require high data rates.
User Association Optimization for IRS-aided Terahertz Networks: A Matching Theory Approach
Terahertz (THz) communication is a promising technology for future wireless communications, offering data rates of up to several terabits-per-second (Tbps).
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