IRS assisted NOMA aided mobile edge computing with queue stability: Heterogeneous multi-agent reinforcement learning
By employing powerful edge servers for data processing, mobile edge computing (MEC) has
been recognized as a promising technology to support emerging computation-intensive …
been recognized as a promising technology to support emerging computation-intensive …
Mobility-aware offloading and resource allocation in NOMA-MEC systems via DC
Multi-access edge computing (MEC) is a promising computing paradigm that incorporates
computing capability into a radio access network (RAN) nearby user equipment (UE) to …
computing capability into a radio access network (RAN) nearby user equipment (UE) to …
Computation offloading and resource allocation in NOMA-MEC: A deep reinforcement learning approach
C Shang, Y Sun, H Luo… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Multiaccess edge computing has emerged as a powerful paradigm for increasing the
computation performance of mobile devices (MDs). Applying nonorthogonal multiple access …
computation performance of mobile devices (MDs). Applying nonorthogonal multiple access …
NOMA-based multi-user mobile edge computation offloading via cooperative multi-agent deep reinforcement learning
Mobile edge computing (MEC) is a promising solution to enable resource-limited mobile
devices to offload computation-intensive tasks to nearby edge servers. In this paper …
devices to offload computation-intensive tasks to nearby edge servers. In this paper …
Latency and energy aware rate maximization in MC-NOMA-based multi-access edge computing: A two-stage deep reinforcement learning approach
M Nduwayezu, JH Yun - Computer Networks, 2022 - Elsevier
Future network services are emerging with an inevitable need for high wireless capacity
along with strong computational capabilities, stringent latency and reduced energy …
along with strong computational capabilities, stringent latency and reduced energy …
NOMA assisted multi-task multi-access mobile edge computing via deep reinforcement learning for industrial Internet of Things
Multiaccess mobile edge computing (MA-MEC) has been envisioned as one of the key
approaches for enabling computation-intensive yet delay-sensitive services in future …
approaches for enabling computation-intensive yet delay-sensitive services in future …
Federated learning based energy efficient scheme for MEC with NOMA underlaying UAV
Unmanned Aerial Vehicle (UAV) enabled Mobile Edge Computing (MEC) brings the on-
demand task computation services close to the user equipment (UE) by reducing the latency …
demand task computation services close to the user equipment (UE) by reducing the latency …
Partial computation offloading in NOMA-assisted mobile-edge computing systems using deep reinforcement learning
Mobile-edge computing (MEC) and nonorthogonal multiple access (NOMA) have been
regarded as promising technologies for beyond fifth-generation (B5G) and sixth-generation …
regarded as promising technologies for beyond fifth-generation (B5G) and sixth-generation …
Learning-assisted partial offloading for dynamic NOMA-MEC systems with imperfect SIC and reconfiguration energy cost
B Lu, S Lin, J Fang, X Hong, J Shi - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In this article, we investigate the long-term energy minimization for nonorthogonal multiple
access (NOMA)-based mobile edge computing (MEC) systems with user mobility …
access (NOMA)-based mobile edge computing (MEC) systems with user mobility …
Learning-Assisted Energy Minimization for MEC Systems With Noncompletely Overlapping NOMA
S Han, B Lu, S Lin, X Hong, J Shi - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
This article investigates the long-term energy minimization of mobile edge computing (MEC)
systems with multiuser noncompletely overlapping nonorthogonal multiple access (NOMA) …
systems with multiuser noncompletely overlapping nonorthogonal multiple access (NOMA) …