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 …
A review of intelligent computation offloading in multiaccess edge computing
H Jin, MA Gregory, S Li - IEEE Access, 2022 - ieeexplore.ieee.org
Multi-Access Edge Computing (MEC) is a standardized architecture that enables cloud
computing capabilities at the edge of heterogeneous networks. The concept is to reduce …
computing capabilities at the edge of heterogeneous networks. The concept is to reduce …
A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art
Driven by the emergence of new compute-intensive applications and the vision of the
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
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 …
Decentralized computation offloading for multi-user mobile edge computing: A deep reinforcement learning approach
Z Chen, X Wang - EURASIP Journal on Wireless Communications and …, 2020 - Springer
Mobile edge computing (MEC) emerges recently as a promising solution to relieve resource-
limited mobile devices from computation-intensive tasks, which enables devices to offload …
limited mobile devices from computation-intensive tasks, which enables devices to offload …
IRS aided MEC systems with binary offloading: A unified framework for dynamic IRS beamforming
In this paper, we develop a unified dynamic intelligent reflecting surface (IRS) beamforming
framework to boost the sum computation rate of an IRS-aided mobile edge computing (MEC) …
framework to boost the sum computation rate of an IRS-aided mobile edge computing (MEC) …
Reinforcement learning based latency minimization in secure NOMA-MEC systems with hybrid SIC
In this paper, physical layer security (PLS) in a non-orthogonal multiple access (NOMA)-
based mobile edge computing (MEC) system is investigated, where hybrid successive …
based mobile edge computing (MEC) system is investigated, where hybrid successive …
Deep reinforcement learning for resource allocation in multi-band and hybrid OMA-NOMA wireless networks
Exploiting the advantages of both non-orthogonal multiple access technique and millimeter-
wave communications requires joint efficient resource allocation techniques toward …
wave communications requires joint efficient resource allocation techniques toward …
Non-orthogonal multiple access assisted secure computation offloading via cooperative jamming
In this paper, we investigate non-orthogonal multiple access (NOMA) assisted secure
computation offloading under the eavesdropping-attack, in which a malicious node …
computation offloading under the eavesdropping-attack, in which a malicious node …
Distributed optimization for computation offloading in edge computing
Edge computing is a promising technology that offers data analysis and computing for
Internet of Things (IoT) services at the network edge. It has the potential to significantly …
Internet of Things (IoT) services at the network edge. It has the potential to significantly …