[HTML][HTML] Joint resource allocation and power control for D2D communication with deep reinforcement learning in MCC
Mission-critical communication (MCC) is one of the main goals in 5G, which can leverage
multiple device-to-device (D2D) connections to enhance reliability for mission-critical …
multiple device-to-device (D2D) connections to enhance reliability for mission-critical …
Multi-agent deep reinforcement learning-based power control and resource allocation for D2D communications
H Xiang, Y Yang, G He, J Huang… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Device-to-device (D2D) communications are envisioned as a critical technology to support
future ubiquitous mobile communications applications. However, the requirements of high …
future ubiquitous mobile communications applications. However, the requirements of high …
Deep reinforcement learning based power allocation for D2D network
Z Bi, W Zhou - 2020 IEEE 91st vehicular technology conference …, 2020 - ieeexplore.ieee.org
In device-to-device (D2D) networks, when D2D communication shares cellular network
spectrum resources, it will cause serious co-channel interference. The problem of solving …
spectrum resources, it will cause serious co-channel interference. The problem of solving …
Power control based on multi-agent deep q network for d2d communication
S Gengtian, T Koshimizu, M Saito… - … in Information and …, 2020 - ieeexplore.ieee.org
In device-to-device (D2D) communication under a cell with resource sharing mode the
spectrum resource utilization of the system will be improved. However, if the interference …
spectrum resource utilization of the system will be improved. However, if the interference …
Make smart decisions faster: Deciding D2D resource allocation via stackelberg game guided multi-agent deep reinforcement learning
Device-to-Device (D2D) communication enabling direct data transmission between two
mobile users has emerged as a vital component for 5G cellular networks to improve …
mobile users has emerged as a vital component for 5G cellular networks to improve …
A multi-agent deep reinforcement learning based spectrum allocation framework for D2D communications
Device-to-device (D2D) communication has been recognized as a promising technique to
improve spectrum efficiency. However, D2D transmission as an underlay causes severe …
improve spectrum efficiency. However, D2D transmission as an underlay causes severe …
Machine learning for power control in D2D communication based on cellular channel gains
We consider a mobile network with users seeking to engage in a device-to-device (D2D)
communication. Two D2D users (DUEs), a transmitter and a receiver, compose one D2D …
communication. Two D2D users (DUEs), a transmitter and a receiver, compose one D2D …
Deep reinforcement learning empowered joint mode selection and resource allocation for RIS-aided D2D communications
L Guo, J Jia, J Chen, A Du, X Wang - Neural Computing and Applications, 2023 - Springer
Abstract Device-to-device (D2D) communication has been regarded as a promising solution
to alleviate the mobile traffic explosion problem for its capabilities of improving system data …
to alleviate the mobile traffic explosion problem for its capabilities of improving system data …
[HTML][HTML] Deep reinforcement learning-based resource allocation for D2D communications in heterogeneous cellular networks
Abstract Device-to-Device (D2D) communication-enabled Heterogeneous Cellular Networks
(HCNs) have been a promising technology for satisfying the growing demands of smart …
(HCNs) have been a promising technology for satisfying the growing demands of smart …
Double deep Q-network based distributed resource matching algorithm for D2D communication
Y Yuan, Z Li, Z Liu, Y Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Device-to-Device (D2D) communication with short communication distance is an efficient
way to improve spectrum efficiency and mitigate interference. To realize the optimal …
way to improve spectrum efficiency and mitigate interference. To realize the optimal …
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