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A survey of deep learning based NOMA: State of the art, key aspects, open challenges and future trends
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 …
A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches
Driven by the demand of time-sensitive and data-intensive applications, edge computing
has attracted wide attention as one of the cornerstones of modern service architectures. An …
has attracted wide attention as one of the cornerstones of modern service architectures. An …
Digital twin-driven collaborative scheduling for heterogeneous task and edge-end resource via multi-agent deep reinforcement learning
With the interdisciplinary advances of mobile communication and edge computing, massive
heterogeneous tasks are accessing wireless networks and competing for the edge-end …
heterogeneous tasks are accessing wireless networks and competing for the edge-end …
Digital twin-assisted edge computation offloading in industrial Internet of Things with NOMA
Integrating digital twins (DTs) and multi-access edge computing (MEC) is a promising
technology that realizes edge intelligence in 6 G, which has been recognized as the key …
technology that realizes edge intelligence in 6 G, which has been recognized as the key …
Computation offloading for energy and delay trade-offs with traffic flow prediction in edge computing-enabled iov
An unprecedented prosperity in artificial intelligence promotes the development of Internet of
Vehicles (IoV). Assisted by edge computing, vehicles enable to offload data to edge servers …
Vehicles (IoV). Assisted by edge computing, vehicles enable to offload data to edge servers …
Relay-aided uplink noma under non-orthogonal cci and imperfect sic in 6g networks
Sixth generation (6G) networks must guarantee radio-resource availability for coexisting
users and machines. Here, non-orthogonal multiple access (NOMA) can address resource …
users and machines. Here, non-orthogonal multiple access (NOMA) can address resource …
Joint task offloading and content caching for NOMA-aided cloud-edge-terminal cooperation networks
To satisfy the requirements of content distribution in computation-intensive and delay-
sensitive services, this paper presents a novel joint task offloading and content caching …
sensitive services, this paper presents a novel joint task offloading and content caching …
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 …
D3QN-based multi-priority computation offloading for time-sensitive and interference-limited industrial wireless networks
C Xu, P Zhang, H Yu, Y Li - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
Industrial wireless networks (IWNs) are generally time-sensitive and interference-limited to
guarantee real-time and reliability for critical industrial tasks. However, the high-concurrent …
guarantee real-time and reliability for critical industrial tasks. However, the high-concurrent …
Hybrid NOMA-OMA Transmission Scheduling for Production Efficiency Maximization in Industrial Edge Computing Networks
Y Zhao, Y Pei, Y Liu, F Hou… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
We consider a mobile edge computing (MEC) assisted Industrial Internet of Things (IIoT)
network, where multiple assembly processing lines in a smart factory are equipped with …
network, where multiple assembly processing lines in a smart factory are equipped with …