Low Latency Ambient Backscatter Communications with Deep Q-Learning for Beyond 5G Applications. Abstract: Low latency is a critical requirement of beyond 5G ...
A deep Q-learning based framework for delay constrained ambient backscatter networks is provided and an algorithm has been proposed that employ deep neural ...
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Low Latency Ambient Backscatter Communications with Deep Q-Learning for Beyond 5G Applications ... latency in backscatter systems using a deep Q-learning based ...
May 25, 2020 · Dive into the research topics of 'Low Latency Ambient Backscatter Communications with Deep Q-Learning for beyond 5G Applications'. Together they ...
Pervaiz, "Low latency ambient backscatter communications with deep Q-learning for beyond 5G applications," in Proc. IEEE 91st Veh. Technol. Conf. (VTCSpring) ...
Low Latency Ambient Backscatter Communications with Deep Q-Learning for beyond 5G Applications ... Backscatter 40%. Internet of Things 35%. Simulation 34%. Puren ...
This paper focuses on maximizing the throughput performance of AB communication system by adaptively selecting the operating mode under fading channel ...
To strengthen data privacy and security, federated learning as an emerging machine learning technique is proposed to enable large-scale nodes, e. g., mobile ...
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We utilize a deep reinforcement learning-based framework to jointly optimize the IRS and reader beamforming, with no knowledge of the channels or ambient signal ...
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Mar 9, 2023 · Pervaiz,. “Low latency ambient backscatter communications with deep Q- learning for beyond 5G applications,” in 2020 IEEE 91st Vehicular.