A systematic review on NOMA variants for 5G and beyond
Over the last few years, interference has been a major hurdle for successfully implementing
various end-user applications in the fifth-generation (5G) of wireless networks. During this …
various end-user applications in the fifth-generation (5G) of wireless networks. During this …
Evolution of NOMA toward next generation multiple access (NGMA) for 6G
Due to the explosive growth in the number of wireless devices and diverse wireless
services, such as virtual/augmented reality and Internet-of-Everything, next generation …
services, such as virtual/augmented reality and Internet-of-Everything, next generation …
Deep learning enhanced NOMA system: A survey on future scope and challenges
V Andiappan, V Ponnusamy - Wireless Personal Communications, 2022 - Springer
As a key important approach for next generation communication systems, Non-Orthogonal
Multiple Access (NOMA) has made high attention in the wireless communication. NOMA …
Multiple Access (NOMA) has made high attention in the wireless communication. NOMA …
Resource slicing for eMBB and URLLC services in radio access network using hierarchical deep learning
M Setayesh, S Bahrami… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network slicing is a promising technique for wireless service providers to support enhanced
mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) services …
mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) services …
Resource allocation for IRS assisted SGF NOMA transmission: A MADRL approach
J Chen, L Guo, J Jia, J Shang… - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) assisted semi-grant-free (SGF) transmission has
been viewed as one of the promising technologies to meet massive connectivity …
been viewed as one of the promising technologies to meet massive connectivity …
Resource allocation for NOMA-MEC systems in ultra-dense networks: A learning aided mean-field game approach
Attracted by the advantages of multi-access edge computing (MEC) and non-orthogonal
multiple access (NOMA), this article studies the resource allocation problem of a NOMA …
multiple access (NOMA), this article studies the resource allocation problem of a NOMA …
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 …
Optimization of grant-free NOMA with multiple configured-grants for mURLLC
Massive Ultra-Reliable and Low-Latency Communications (mURLLC), which integrates
URLLC with massive access, is emerging as a new and important service class in the next …
URLLC with massive access, is emerging as a new and important service class in the next …
Distributed Q-learning aided uplink grant-free NOMA for massive machine-type communications
The explosive growth of machine-type communications (MTC) devices poses critical
challenges to the existing cellular networks. Therefore, how to support massive MTC devices …
challenges to the existing cellular networks. Therefore, how to support massive MTC devices …
Computation offloading and resource allocation in NOMA-MEC: A deep reinforcement learning approach
C Shang, Y Sun, H Luo… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Multiaccess edge computing has emerged as a powerful paradigm for increasing the
computation performance of mobile devices (MDs). Applying nonorthogonal multiple access …
computation performance of mobile devices (MDs). Applying nonorthogonal multiple access …