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Found 6 papers, 2 papers with code
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.
Channel Characterization of UAV-RIS-aided Systems with Adaptive Phase-shift Configuration
This letter considers a UAV aiding communication between a ground transmitter and a ground receiver in the presence of co-channel interference.
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).
Statistical Characterization of RIS-assisted UAV Communications in Terrestrial and Non-Terrestrial Networks Under Channel Aging
This paper studies the statistical characterization of ground-to-air (G2A) and reconfigurable intelligent surface (RIS)-assisted air-to-ground (A2G) communications with unmanned aerial vehicles (UAVs) in terrestrial and non-terrestrial networks under the impact of channel aging.
Performance Analysis of Multi-user NOMA Wireless-Powered mMTC Networks: A Stochastic Geometry Approach
In this paper, we aim to improve the connectivity, scalability, and energy efficiency of machine-type communication (MTC) networks with different types of MTC devices (MTCDs), namely Type-I and Type-II MTCDs, which have different communication purposes.
