Computation offloading in mobile edge computing networks: A survey
Computation offloading is one of the key technologies in Mobile Edge Computing (MEC),
which makes up for the deficiencies of mobile devices in terms of storage resource …
which makes up for the deficiencies of mobile devices in terms of storage resource …
A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era
MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
The evolution of the wireless network systems over decades has been providing new
services to the users with the help of innovative network and device technologies. In recent …
services to the users with the help of innovative network and device technologies. In recent …
Joint multi-domain resource allocation and trajectory optimization in UAV-assisted maritime IoT networks
The integration of Maritime Internet of Things (M-IoT) technology and unmanned
aerial/surface vehicles (UAVs/USVs) has been emerging as a promising navigational …
aerial/surface vehicles (UAVs/USVs) has been emerging as a promising navigational …
A survey of deep learning based NOMA: State of the art, key aspects, open challenges and future trends
SAH Mohsan, Y Li, AV Shvetsov, J Varela-Aldás… - Sensors, 2023 - mdpi.com
Non-Orthogonal Multiple Access (NOMA) has become a promising evolution with the
emergence of fifth-generation (5G) and Beyond-5G (B5G) rollouts. The potentials of NOMA …
emergence of fifth-generation (5G) and Beyond-5G (B5G) rollouts. The potentials of NOMA …
Reinforcement learning methods for computation offloading: a systematic review
Z Zabihi, AM Eftekhari Moghadam… - ACM Computing …, 2023 - dl.acm.org
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …
applications due to the long distance between end-devices and remote datacenters. In …
Intelligent offloading and resource allocation in heterogeneous aerial access IoT networks
Aerial access networks, comprising a hierarchical model of high-altitude platforms (HAPs)
and multiple unmanned aerial vehicles (UAVs), are considered a promising technology to …
and multiple unmanned aerial vehicles (UAVs), are considered a promising technology to …
Reinforcement learning-empowered mobile edge computing for 6G edge intelligence
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …
A deep reinforcement learning based computation offloading with mobile vehicles in vehicular edge computing
Vehicular edge networks involve edge servers that are close to mobile devices to provide
extra computation resource to complete the computation tasks of mobile devices with low …
extra computation resource to complete the computation tasks of mobile devices with low …
Joint resource allocation and multi-part collaborative task offloading in MEC systems
H Zhang, Y Yang, B Shang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper investigates the multi-part collaborative task offloading with multiple servers in
mobile edge computing (MEC) systems by considering server overload and long-term …
mobile edge computing (MEC) systems by considering server overload and long-term …
HAMEC-RSMA: Enhanced aerial computing systems with rate splitting multiple access
Aerial networks have been widely considered a crucial component for ubiquitous coverage
in the next-generation mobile networks. In this scenario, mobile edge computing (MEC) and …
in the next-generation mobile networks. In this scenario, mobile edge computing (MEC) and …