[HTML][HTML] Survey on the state-of-the-art in device-to-device communication: A resource allocation perspective
T Islam, C Kwon - Ad Hoc Networks, 2022 - Elsevier
Abstract Device to Device (D2D) communication takes advantage of the proximity between
the communicating devices in order to achieve efficient resource utilization, improved …
the communicating devices in order to achieve efficient resource utilization, improved …
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 …
Research on multi-agent D2D communication resource allocation algorithm based on A2C
X Li, G Chen, G Wu, Z Sun, G Chen - Electronics, 2023 - mdpi.com
Device to device (D2D) communication technology is the main component of future
communication, which greatly improves the utilization of spectrum resources. However, in …
communication, which greatly improves the utilization of spectrum resources. However, in …
Dynamic spectrum access for D2D-enabled Internet of Things: A deep reinforcement learning approach
Device-to-device (D2D) communication is regarded as a promising technology to support
spectral-efficient Internet of Things (IoT) in beyond fifth-generation (5G) and sixth-generation …
spectral-efficient Internet of Things (IoT) in beyond fifth-generation (5G) and sixth-generation …
Downlink scheduler for delay guaranteed services using deep reinforcement learning
In this article, we propose a novel scheduling scheme to guarantee per-packet delay in
single-hop wireless networks for delay-critical applications. We consider several classes of …
single-hop wireless networks for delay-critical applications. We consider several classes of …
DRL-Based Resource Allocation for NOMA-Enabled D2D Communications Underlay Cellular Networks
YJ Jeong, S Yu, JW Lee - IEEE Access, 2023 - ieeexplore.ieee.org
Since the emergence of device-to-device (D2D) communications, an efficient resource
allocation (RA) scheme with low-complexity suited for high variability of network …
allocation (RA) scheme with low-complexity suited for high variability of network …
A survey on resource allocation schemes in device-to-device communication
Device-to-device (D2D) communication is a breakthrough technology of fifth-generation (5G)
and beyond networks. It offers direct communication between D2D devices without …
and beyond networks. It offers direct communication between D2D devices without …
Deep reinforcement learning based resource allocation for D2D communications underlay cellular networks
S Yu, JW Lee - Sensors, 2022 - mdpi.com
In this paper, a resource allocation (RA) scheme based on deep reinforcement learning
(DRL) is designed for device-to-device (D2D) communications underlay cellular networks …
(DRL) is designed for device-to-device (D2D) communications underlay cellular networks …
Drop Maslow's Hammer or not: machine learning for resource management in D2D communications
There is an old saying in America (aka" Maslow's Hammer")" If all you have is a hammer,
then every problem you see looks like a nail." While the techniques of machine learning …
then every problem you see looks like a nail." While the techniques of machine learning …
AI-based resource allocation techniques in D2D communication: Open issues and future directions
T Rathod, S Tanwar - Physical Communication, 2024 - Elsevier
Abstract The fifth-generation (5G) mobile network enhances network connectivity between
many mobile devices by utilizing higher bandwidth with lower communication delay. This …
many mobile devices by utilizing higher bandwidth with lower communication delay. This …