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 …
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 …
Machine learning empowered resource allocation in IRS aided MISO-NOMA networks
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 …
(MISO) non-orthogonal multiple access (NOMA) network is proposed, where a base station …
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 …
QoE-based resource allocation for multi-cell NOMA networks
Quality of experience (QoE) is an important indicator in the fifth generation (5G) wireless
communication systems. For characterizing user-base station (BS) association, subchannel …
communication systems. For characterizing user-base station (BS) association, subchannel …
Joint power allocation and channel assignment for NOMA with deep reinforcement learning
Non-orthogonal multiple access (NOMA) has been considered as a significant candidate
technique for the next generation wireless communication to support high throughput and …
technique for the next generation wireless communication to support high throughput 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 …
for massive Internet of Things (IoT) access in beyond 5G networks using nonorthogonal …
Machine learning for user partitioning and phase shifters design in RIS-aided NOMA networks
A novel reconfigurable intelligent surface (RIS) aided non-orthogonal multiple access
(NOMA) downlink transmission framework is proposed. We formulate a long-term stochastic …
(NOMA) downlink transmission framework is proposed. We formulate a long-term stochastic …
Energy-efficient user scheduling and power allocation for NOMA-based wireless networks with massive IoT devices
Nonorthogonal multiple access (NOMA) exhibits superiority in spectrum efficiency and
device connections in comparison with the traditional orthogonal multiple access …
device connections in comparison with the traditional orthogonal multiple access …
Priority-based joint resource allocation with deep Q-learning for heterogeneous NOMA systems
For heterogeneous demands in fifth-generation (5G) new radio (NR), a massive machine
type communication (mMTC), enhanced mobile broadband (eMBB), and ultra-reliable and …
type communication (mMTC), enhanced mobile broadband (eMBB), and ultra-reliable and …
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