Deep learning-based long-term power allocation scheme for NOMA downlink system in S-IoT
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 …
multiple access (NOMA) downlink system for the satellite-based Internet of Things (S-IoT) to …
Resource allocation in uplink NOMA-IoT networks: A reinforcement-learning approach
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 …
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
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 …
free nonorthogonal multiple access (NOMA) emerges as an enabling technology for …
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 …
the huge access demand and data rate requirements of the next generation network. In this …
Network utility maximization resource allocation for NOMA in satellite-based Internet of Things
J Jiao, Y Sun, S Wu, Y Wang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
High-throughput satellite (HTS) is viewed as a promising solution for the next generation of
satellite-based Internet of Things (S-IoT). Considering that the onboard communication …
satellite-based Internet of Things (S-IoT). Considering that the onboard communication …
An improved PSO-based power allocation algorithm for the optimal EE and SE tradeoff in downlink NOMA systems
H Xiao, Y Wang, Q Cheng… - 2018 IEEE 29th Annual …, 2018 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) technique can substantially improve the spectral
efficiency (SE) and increase the throughput of system. As NOMA has these advantages, it …
efficiency (SE) and increase the throughput of system. As NOMA has these advantages, it …
Joint decoding in downlink NOMA systems with finite blocklength transmissions for ultrareliable low-latency tasks
J Yao, Q Zhang, J Qin - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Future ultrareliable low-latency tasks in the Internet of Things require finite blocklength
transmissions. The spectral efficiency of finite blocklength transmissions, by incorporating …
transmissions. The spectral efficiency of finite blocklength transmissions, by incorporating …
Transmit power pool design for grant-free NOMA-IoT networks via deep reinforcement learning
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 …
framework for short-packet internet-of-things (IoT) networks to enhance connectivity …
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 …
huge access demand and high data-rate requirements of the next-generation networks. In …
A dynamic power allocation scheme in power-domain NOMA using actor-critic reinforcement learning
Non-orthogonal multiple access (NOMA) is one of the most promising technologies in the
next-generation cellular communication. However, the effective power allocation strategy …
next-generation cellular communication. However, the effective power allocation strategy …