Machine learning empowered resource allocation in IRS aided MISO-NOMA networks

X Gao, Y Liu, X Liu, L Song - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
A novel framework of intelligent reflecting surface (IRS)-aided multiple-input single-output
(MISO) non-orthogonal multiple access (NOMA) network is proposed, where a base station …

NOMA-based multi-user mobile edge computation offloading via cooperative multi-agent deep reinforcement learning

Z Chen, L Zhang, Y Pei, C Jiang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Dynamic power–latency tradeoff for mobile edge computation offloading in NOMA-based networks

N Nouri, A Entezari, J Abouei… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been recognized as an emerging technology that allows
users to send the computation-intensive tasks to the MEC server deployed at the macro …

Hybrid NOMA offloading in multi-user MEC networks

Z Ding, D Xu, R Schober… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) assisted mobile edge computing (MEC) has
recently attracted significant attention due to its superior capability to reduce the energy …

Delay minimization for NOMA-enabled mobile edge computing in industrial Internet of Things

W Noh, S Cho - IEEE Transactions on Industrial Informatics, 2021 - ieeexplore.ieee.org
Mobile edge computing and nonorthogonal multiple access (NOMA) have been considered
as promising technologies that can satisfy rigorous requirements of industrial Internet of …

Efficient offloading for minimizing task computation delay of NOMA-based multiaccess edge computing

B Zhu, K Chi, J Liu, K Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multi-access edge computing (MEC) has been one promising solution to reduce the
computation delay of wireless devices. Due to the high spectrum efficiency of non …

Partial computation offloading in NOMA-assisted mobile-edge computing systems using deep reinforcement learning

TP Truong, TV Nguyen, W Noh… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) and nonorthogonal multiple access (NOMA) have been
regarded as promising technologies for beyond fifth-generation (B5G) and sixth-generation …

Demand response in noma-based mobile edge computing: A two-phase game-theoretical approach

G Cui, Q He, X Xia, F Chen, T Gu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC), as a key technology that facilitates 5G networks, provides a
new and prospective mobile computing paradigm that allows the deployment of edge …

Energy-efficient resource allocation in uplink NOMA systems with deep reinforcement learning

Y Zhang, X Wang, Y Xu - 2019 11th international conference …, 2019 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) is regarded as a promising technology to satisfy
the huge access demand and data rate requirements of the next generation network. In this …

Distributed Q-learning aided uplink grant-free NOMA for massive machine-type communications

J Liu, Z Shi, S Zhang, N Kato - IEEE Journal on Selected Areas …, 2021 - ieeexplore.ieee.org
The explosive growth of machine-type communications (MTC) devices poses critical
challenges to the existing cellular networks. Therefore, how to support massive MTC devices …