A survey of indoor and outdoor uav-based target tracking systems: Current status, challenges, technologies, and future directions
Due to their distinctive features, unmanned aerial vehicles (UAVs) have been recently
exploited to support a wide range of applications. The features include low maintenance …
exploited to support a wide range of applications. The features include low maintenance …
Multiagent deep reinforcement learning for task offloading and resource allocation in cybertwin-based networks
W Hou, H Wen, H Song, W Lei… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In this article, a hierarchical task offloading strategy is presented for delay-tolerant and delay-
sensitive missions by integrating edge computing and artificial intelligence into Cybertwin …
sensitive missions by integrating edge computing and artificial intelligence into Cybertwin …
Swarm intelligence for next-generation networks: Recent advances and applications
In next-generation networks (NGN), a very large number of devices and applications are
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …
The role of network slicing and edge computing in the metaverse realization
S Karunarathna, S Wijethilaka, P Ranaweera… - IEEE …, 2023 - ieeexplore.ieee.org
Metaverse is the latest technological hype in the modern world due to its potential for
revolutionizing the digital visual perspective. With the COVID-19 pandemic, most industries …
revolutionizing the digital visual perspective. With the COVID-19 pandemic, most industries …
Drone swarm path planning for mobile edge computing in industrial internet of things
Drone-swarm-assisted mobile edge computing (MEC) provides extra computation and
storage capacity for smart city applications and the Industrial Internet of Things. To solve the …
storage capacity for smart city applications and the Industrial Internet of Things. To solve the …
Energy-efficient computation offloading strategy with task priority in cloud assisted multi-access edge computing
Multi-access edge computing (MEC) provides cloud-like services at the edge of the radio
access network close to mobile devices (MDs). This infrastructure can provide low-latency …
access network close to mobile devices (MDs). This infrastructure can provide low-latency …
Energy consumption minimization scheme for NOMA-based mobile edge computation networks underlaying UAV
An unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) networks fulfil
the on-demand computation services for the mobile terminals (MTs) with its high mobility …
the on-demand computation services for the mobile terminals (MTs) with its high mobility …
Efficient computation offloading in multi-tier multi-access edge computing systems: A particle swarm optimization approach
In recent years, multi-access edge computing (MEC) has become a promising technology
used in 5G networks based on its ability to offload computational tasks from mobile devices …
used in 5G networks based on its ability to offload computational tasks from mobile devices …
Intelligent radio signal processing: A survey
Intelligent signal processing for wireless communications is a vital task in modern wireless
systems, but it faces new challenges because of network heterogeneity, diverse service …
systems, but it faces new challenges because of network heterogeneity, diverse service …
Edge computing technology enablers: A systematic lecture study
With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …