Starling flocks-inspired resource allocation for ISAC-aided green ad hoc networks
Efficient and intelligent environment awareness is one of the key aspects for enabling future
green networks, especially for wireless ad hoc networks considering the limited resources …
green networks, especially for wireless ad hoc networks considering the limited resources …
Joint optimization of AoI, SINR, completeness, and energy in UAV-aided SDCNs: Coalition formation game and cooperative order
Y Yang, X Wei, R Xu, L Peng - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
As one of the most important representatives for the edge intelligence, Unmanned Aerial
Vehicle (UAV) can be used to provide the intelligent edge service, such as performing data …
Vehicle (UAV) can be used to provide the intelligent edge service, such as performing data …
Reinforcement learning-based energy-efficient data access for airborne users in civil aircrafts-enabled SAGIN
Airborne users are always dreaming of enjoying a good Internet access experience while in
the air. However, due to long propagation delay and limited network coverage, the existing …
the air. However, due to long propagation delay and limited network coverage, the existing …
Distributed deep reinforcement learning assisted resource allocation algorithm for space-air-ground integrated networks
To realize the Interconnection of Everything (IoE) in the 6G vision, the space-based, air-
based, and ground-based networks have shown a trend of integration. Compared with the …
based, and ground-based networks have shown a trend of integration. Compared with the …
Green mobility management in UAV-assisted IoT based on dueling DQN
In most cases, the batteries of sensor nodes in the Internet of Things (IoT) are usually
constrained by size and weight, and are difficult to recharge or replace. In traditional …
constrained by size and weight, and are difficult to recharge or replace. In traditional …
Integrated communication and computing maritime networks design for green Metaverse
With the continuous improvement and development of the metauniverse concept, numerous
new technologies have emerged to address the new demands, including big data …
new technologies have emerged to address the new demands, including big data …
A big data deep reinforcement learning approach to next generation green wireless networks
Y He, Z Zhang, Y Zhang - GLOBECOM 2017-2017 IEEE Global …, 2017 - ieeexplore.ieee.org
Recent advances in networking, caching and computing technologies can have great
impacts on the developments of green heterogeneous wireless networks, where different …
impacts on the developments of green heterogeneous wireless networks, where different …
Energy efficient resource allocation for UAV-assisted space-air-ground internet of remote things networks
Internet of remote things (IoRT) networks are regarded as an effective approach for
providing services to smart devices, which are often remote and dispersed over in a wide …
providing services to smart devices, which are often remote and dispersed over in a wide …
UAV trajectory and energy efficiency optimization in RIS-assisted multi-user air-to-ground communications networks
An air-to-ground downlink communication network consisting of a reconfigurable intelligent
surface (RIS) and unmanned aerial vehicle (UAV) is proposed. In conjunction with a …
surface (RIS) and unmanned aerial vehicle (UAV) is proposed. In conjunction with a …
Resource allocation for energy harvesting-powered D2D communication underlaying UAV-assisted networks
In this paper, we investigate the resource allocation problem for unmanned aerial vehicle
(UAV)-assisted networks, where a UAV acting as an energy source provides radio frequency …
(UAV)-assisted networks, where a UAV acting as an energy source provides radio frequency …