Space-aerial-ground-sea integrated networks: Resource optimization and challenges in 6G
Abstract Space-air-ground-sea integrated (SAGSI) networks are envisioned to connect
satellite, aerial, ground, and sea networks to provide connectivity everywhere and all the …
satellite, aerial, ground, and sea networks to provide connectivity everywhere and all the …
Joint trajectory plan and resource allocation for UAV-enabled C-NOMA in air-ground integrated 6 G heterogeneous network
Leveraging unmanned aerial vehicles (UAVs) for access and high altitude platform stations
(HAPSs) for data backhaul to construct the Air-Ground Integrated Network (AGIN), is a …
(HAPSs) for data backhaul to construct the Air-Ground Integrated Network (AGIN), is a …
UAV-Aided wireless energy transfer for sustaining Internet of Everything in 6G
Unmanned aerial vehicles (UAVs) are a promising technology used to provide on-demand
wireless energy transfer (WET) and sustain various low-power ground devices (GDs) for the …
wireless energy transfer (WET) and sustain various low-power ground devices (GDs) for the …
NOMA empowered energy efficient data collection and wireless power transfer in space-air-ground integrated networks
As the sixth generation network (6G) emerges, the Internet of remote things (IoRT) has
become a critical issue. However, conventional terrestrial networks cannot meet the delay …
become a critical issue. However, conventional terrestrial networks cannot meet the delay …
On Data Collection in SIC-Capable Space–Air–Ground Integrated IoT Networks
Y Zheng, KW Chin - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
This article considers routing and uplinks scheduling in space–air–ground integrated
networks. Specifically, it considers a successive interference cancellation-capable …
networks. Specifically, it considers a successive interference cancellation-capable …
Throughput maximization scheme of the IRS-aided wireless powered NOMA systems
M Ren, X Li, X Tian - Physical Communication, 2024 - Elsevier
The computation complexity of the existing resource allocation schemes to maximize sum
throughput is very high for intelligent reflecting surface (IRS)-assisted wireless powered non …
throughput is very high for intelligent reflecting surface (IRS)-assisted wireless powered non …
Reinforcement learning empowered unmanned aerial vehicle assisted internet of things networks
SK Mahmud - 2023 - qmro.qmul.ac.uk
This thesis aims towards performance enhancement for unmanned aerial vehicles (UAVs)
assisted internet of things network (IoT). In this realm, novel reinforcement learning (RL) …
assisted internet of things network (IoT). In this realm, novel reinforcement learning (RL) …
Multi-objective resource optimization in space-aerial-ground-sea integrated networks
Sixth-generation (6G) networks envision space-air-ground-sea integrated (SAGSI) networks
connecting satellite, aerial, ground, and sea networks to provide constant connectivity. A …
connecting satellite, aerial, ground, and sea networks to provide constant connectivity. A …
Cross-Tier Resource Allocation in Space-Air-Ground Integrated Networks for Internet of Remote Things
We Present a new architecture of the 3D SAG wireless access networks for uplink
communication between IoRT and LEO satellite, utilizing several multi-antenna UAV relays …
communication between IoRT and LEO satellite, utilizing several multi-antenna UAV relays …
Resource Allocation Strategy in UAV-D2D-Aided Multi-Relay MEC System with Energy Harvesting
H You, Y Zhao, K Jian, L Liang… - 2023 IEEE/CIC …, 2023 - ieeexplore.ieee.org
In the mobile edge computing (MEC) scenarios, users outside the coverage area of the base
station are unable to offload tasks during the offloading process. In this paper, a resource …
station are unable to offload tasks during the offloading process. In this paper, a resource …