3TO: THz-enabled throughput and trajectory optimization of UAVs in 6G networks by proximal policy optimization deep reinforcement learning
Next-generation networks need to meet ubiquitous and high data-rate demand. Therefore,
this paper considers the throughput and trajectory optimization of terahertz (THz)-enabled …
this paper considers the throughput and trajectory optimization of terahertz (THz)-enabled …
Joint trajectory and resource optimization of MEC-assisted UAVs in sub-THz networks: A resources-based multi-agent proximal policy optimization DRL with attention …
The use of Terahertz (THz) technology in sixth-generation (6G) networks will bring high-
speed and capacity data services. But limitations like molecular absorption, rain attenuation …
speed and capacity data services. But limitations like molecular absorption, rain attenuation …
Capacity Enhancement of Flying-IRS Assisted 6G THz Network using Deep Reinforcement Learning
SS Omar, AM Abd El-Haleem, II Ibrahim… - IEEE Access, 2023 - ieeexplore.ieee.org
Terahertz communication networks and Intelligent Reflecting Surfaces (IRS) exhibit
significant potential in advancing Sixth-Generation (6G) wireless networks, these …
significant potential in advancing Sixth-Generation (6G) wireless networks, these …
UAV-assisted 5G/6G networks: Joint scheduling and resource allocation based on asynchronous reinforcement learning
Unmanned aerial vehicles (UAVs) can be used as flying base stations (BSs) for providing
wireless communications and coverage enhancement in fifth/sixth-generation (5G/6G) …
wireless communications and coverage enhancement in fifth/sixth-generation (5G/6G) …
Joint resources and phase-shift optimization of MEC-enabled UAV in IRS-assisted 6G THz networks
Terahertz (THz) communication has the promise of enabling ultra-high data speeds in the
sixth-generation (6G) wireless networks. Meanwhile, an intelligent reflecting surface (IRS) …
sixth-generation (6G) wireless networks. Meanwhile, an intelligent reflecting surface (IRS) …
Joint power allocation and 3D deployment for UAV-BSs: A game theory based deep reinforcement learning approach
Ultra-dense unmanned aerial vehicle (UAV) plays an important role in the field of
communications due to its flexibility and low-cost feature. Ultra-dense unnamed aerial …
communications due to its flexibility and low-cost feature. Ultra-dense unnamed aerial …
Cellular-connected UAVs over 5G: Deep reinforcement learning for interference management
In this paper, an interference-aware path planning scheme for a network of cellular-
connected unmanned aerial vehicles (UAVs) is proposed. In particular, each UAV aims at …
connected unmanned aerial vehicles (UAVs) is proposed. In particular, each UAV aims at …
Optimizing AoI in UAV-RIS-Assisted IoT Networks: Off Policy Versus On Policy
In urban environments, tall buildings or structures can pose limits on the direct channel link
between a base station (BS) and an Internet of Thing device (IoTD) for wireless …
between a base station (BS) and an Internet of Thing device (IoTD) for wireless …
Optimized deployment of multi-UAV based on machine learning in UAV-HST networking
A new communications infrastructure is needed for users to experience the contents of 5G-
based VR/AR in High-Speed Train (HST). Therefore, it is proposed that the Unmanned …
based VR/AR in High-Speed Train (HST). Therefore, it is proposed that the Unmanned …
5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul
Fast and reliable wireless communication has become a critical demand in human life. In the
case of mission-critical (MC) scenarios, for instance, when natural disasters strike, providing …
case of mission-critical (MC) scenarios, for instance, when natural disasters strike, providing …