GRL-PS: Graph embedding-based DRL approach for adaptive path selection
W Wei, L Fu, H Gu, Y Zhang, T Zou… - … on Network and …, 2023 - ieeexplore.ieee.org
Forwarding path selection for data traffic is one of the most fundamental operations in
computer networks, whose performance drastically impacts both transmission efficiency and …
computer networks, whose performance drastically impacts both transmission efficiency and …
Spectrum-efficient mode selection and fair resource allocation for D2D-enabled uplink/downlink MC-NOMA networks
A Gholamrezaee, H Farrokhi - Digital Signal Processing, 2023 - Elsevier
The application of device-to-device (D2D) communication and multi-carrier (MC) non-
orthogonal multiple access (NOMA) have been considered as promising technologies to …
orthogonal multiple access (NOMA) have been considered as promising technologies to …
Digital twin empowered industrial IoT based on credibility-weighted swarm learning
Driven by digital twin (DT) technology, the industrial Internet of Things (IIoT) is expanding to
open up new frontiers in industrial applications. However, traditional DT modeling …
open up new frontiers in industrial applications. However, traditional DT modeling …
Joint relay selection and power allocation for time-varying energy harvesting-driven uasns: A stratified reinforcement learning approach
S Han, L Li, X Li, Z Liu, L Yan… - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
In this article, the joint relay selection and power allocation problem is studied to maximize
the uplink cumulative performance for the time-varying energy harvesting-driven underwater …
the uplink cumulative performance for the time-varying energy harvesting-driven underwater …
Age of Incorrect Information Minimization for Semantic-Empowered NOMA System in S-IoT
Satellites can provide timely status updates to massive terrestrial user equipments (UEs) via
non-orthogonal multiple access technology (NOMA) in satellite-based Internet of Things (S …
non-orthogonal multiple access technology (NOMA) in satellite-based Internet of Things (S …
Sleep-scheduling and joint computation-communication resource allocation in MEC networks for 5G IIoT
Industrial 4.0 will be supported by Internet of Things (IIoT), which will bring profound
revolutions to the industrial manufacturing. The fifth generation wireless communication …
revolutions to the industrial manufacturing. The fifth generation wireless communication …
Device Access, Sub-Channel Division, and Transmission Power Allocation for NOMA-Enabled IoT Systems
In the era of the Internet of Things (IoT), it is a promising way to improve system energy utility
and better meet users' requirements for Quality of Service (QoS) via integrating …
and better meet users' requirements for Quality of Service (QoS) via integrating …
Multi-objective optimization of energy saving and throughput in heterogeneous networks using deep reinforcement learning
K Ryu, W Kim - Sensors, 2021 - mdpi.com
Wireless networking using GHz or THz spectra has encouraged mobile service providers to
deploy small cells to improve link quality and cell capacity using mmWave backhaul links. As …
deploy small cells to improve link quality and cell capacity using mmWave backhaul links. As …
[HTML][HTML] Channel assignment and power allocation for throughput improvement with ppo in b5g heterogeneous edge networks
Abstract In Beyond the Fifth Generation (B5G) heterogeneous edge networks, numerous
users are multiplexed on a channel or served on the same frequency resource block, in …
users are multiplexed on a channel or served on the same frequency resource block, in …
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 …