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 …
BARGAIN-MATCH: A game theoretical approach for resource allocation and task offloading in vehicular edge computing networks
Vehicular edge computing (VEC) is emerging as a promising architecture of vehicular
networks (VNs) by deploying the cloud computing resources at the edge of the VNs …
networks (VNs) by deploying the cloud computing resources at the edge of the VNs …
Blockchain and federated deep reinforcement learning based secure cloud-edge-end collaboration in power IoT
S Zhang, Z Wang, Z Zhou, Y Wang… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Cloud-edge-end collaboration enables harmonious and efficient resource allocation for the
Power Internet of Things (PIoT). However, the security and complexity issues of computation …
Power Internet of Things (PIoT). However, the security and complexity issues of computation …
Growable Genetic Algorithm with Heuristic-based Local Search for multi-dimensional resources scheduling of cloud computing
Abstract Multi-Dimensional Resources Scheduling Problem (MDRSP, usually a multi-
objective optimization problem) has attracted focus in the management of large-scale cloud …
objective optimization problem) has attracted focus in the management of large-scale cloud …
Collaborative learning-based network resource scheduling and route management for multi-mode green iot
Z Zhou, X Chen, H Liao, Z Gan, F Xiao… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The multi-mode green Internet of things (IoT) provides a communication support for social
assets of smart park connecting to power grid for low-carbon operation. Software defined …
assets of smart park connecting to power grid for low-carbon operation. Software defined …
Deep reinforcement learning-based task scheduling and resource allocation for NOMA-MEC in Industrial Internet of Things
L Lin, W Zhou, Z Yang, J Liu - Peer-to-Peer Networking and Applications, 2023 - Springer
Abstract Mobile Edge Computing (MEC) and Non-Orthogonal Multiple Access (NOMA) have
been treated as promising technologies to process the delay-sensitive tasks in the Industrial …
been treated as promising technologies to process the delay-sensitive tasks in the Industrial …
Double RISs assisted task offloading for NOMA-MEC with action-constrained deep reinforcement learning
J Fang, B Lu, X Hong, J Shi - Knowledge-Based Systems, 2024 - Elsevier
Reconfigurable intelligent surface (RIS) is expected to enhance task offloading performance
in non-line-of-sight mobile edge computing (MEC) scenarios. This paper aims at reducing …
in non-line-of-sight mobile edge computing (MEC) scenarios. This paper aims at reducing …
Fair and efficiency coexistence between NR-U and WiGig networks enabled by a matching-based framework with forbidden pairs
Deploying the 5 G new radio network on the unlicensed mmWave band (NR-U) is a
promising solution to meet the constantly increasing traffic demand of the cellular network …
promising solution to meet the constantly increasing traffic demand of the cellular network …
Content caching-enhanced computation offloading in mobile edge service networks
Cache enhanced computation offloading as a novel offloading paradigm in mobile edge
computing (MEC) can reduce more task execution latency than traditional computation …
computing (MEC) can reduce more task execution latency than traditional computation …
[PDF][PDF] Optimal multi-dimension operation in power systems by an improved artificial hummingbird optimizer
Optimal power flow (OPF) is a restricted optimization problem that requires optimizing
control variable settings to reach the best collection of operating, technical, and secure …
control variable settings to reach the best collection of operating, technical, and secure …