Transmit power pool design for grant-free NOMA-IoT networks via deep reinforcement learning

M Fayaz, W Yi, Y Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Grant-free non-orthogonal multiple access (GF-NOMA) is a potential multiple access
framework for short-packet internet-of-things (IoT) networks to enhance connectivity …

Resource allocation in uplink NOMA-IoT networks: A reinforcement-learning approach

W Ahsan, W Yi, Z Qin, Y Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) exploits the potential of the power domain to
enhance the connectivity for the Internet of Things (IoT). Due to time-varying communication …

Deep reinforcement learning for throughput improvement of the uplink grant-free NOMA system

J Zhang, X Tao, H Wu, N Zhang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Facing the dramatic increase of mobile devices and the scarcity of spectrum resources, grant-
free nonorthogonal multiple access (NOMA) emerges as an enabling technology for …

DRL-based energy-efficient resource allocation frameworks for uplink NOMA systems

X Wang, Y Zhang, R Shen, Y Xu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Nonorthogonal multiple access (NOMA) is one of the promising technologies to meet the
huge access demand and high data-rate requirements of the next-generation networks. In …

Deep learning-based long-term power allocation scheme for NOMA downlink system in S-IoT

Y Sun, Y Wang, J Jiao, S Wu, Q Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we formulate a long-term resource allocation problem of non-orthogonal
multiple access (NOMA) downlink system for the satellite-based Internet of Things (S-IoT) to …

Deep learning based radio resource management in NOMA networks: User association, subchannel and power allocation

H Zhang, H Zhang, K Long… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of future wireless communication, the combination of NOMA
technology and millimeter-wave (mmWave) technology has become a research hotspot. The …

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 …

Efficient power allocation for NOMA-enabled IoT networks in 6G era

WU Khan, F Jameel, MA Jamshed, H Pervaiz… - Physical …, 2020 - Elsevier
Due to unrivaled effectiveness, non-orthogonal multiple access (NOMA) has risen as a
promising multiple access scheme for the Internet of things (IoT). In this paper, we provide a …

Priority-based joint resource allocation with deep Q-learning for heterogeneous NOMA systems

S Rezwan, W Choi - IEEE Access, 2021 - ieeexplore.ieee.org
For heterogeneous demands in fifth-generation (5G) new radio (NR), a massive machine
type communication (mMTC), enhanced mobile broadband (eMBB), and ultra-reliable and …

Massive IoT access with NOMA in 5G networks and beyond using online competitiveness and learning

Z Mlika, S Cherkaoui - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
This article studies the problem of online user grouping, scheduling, and power allocation
for massive Internet of Things (IoT) access in beyond 5G networks using nonorthogonal …