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 …
Experienced deep reinforcement learning with generative adversarial networks (GANs) for model-free ultra reliable low latency communication
In this paper, a novel experienced deep reinforcement learning (deep-RL) framework is
proposed to provide model-free resource allocation for ultra reliable low latency …
proposed to provide model-free resource allocation for ultra reliable low latency …
Massive connectivity with machine learning for the Internet of Things
Driven by the need to ensure the connectivity of an unprecedentedly huge number of IoT
devices with no human intervention the issues of massive connectivity have recently …
devices with no human intervention the issues of massive connectivity have recently …
Impact of node mobility on the DL based uplink and downlink MIMO-NOMA network
R Shankar, BP Chaudhary, H Mehraj, S Gupta… - International journal of …, 2023 - Springer
This study analyses the performance of the stacked long short-term memory (S-LSTM)-
based non-orthogonal multiple access (NOMA) system under independent and non …
based non-orthogonal multiple access (NOMA) system under independent and non …
Throughput optimization for grant-free multiple access with multiagent deep reinforcement learning
Grant-free multiple access (GFMA) is a promising paradigm to efficiently support uplink
access of Internet of Things (IoT) devices. In this paper, we propose a deep reinforcement …
access of Internet of Things (IoT) devices. In this paper, we propose a deep reinforcement …
Toward Autonomous Power Control in Semi-Grant-Free NOMA Systems: A Power Pool-Based Approach
In this paper, we design a resource block (RB) oriented power pool (PP) for semi-grant-free
non-orthogonal multiple access (SGF-NOMA) in the presence of residual errors resulting …
non-orthogonal multiple access (SGF-NOMA) in the presence of residual errors resulting …
Intelligent link adaptation for grant-free access cellular networks: A distributed deep reinforcement learning approach
With the continuous growth of machine-type devices (MTDs), it is expected that massive
machine-type communication (mMTC) will be the dominant form of traffic in future wireless …
machine-type communication (mMTC) will be the dominant form of traffic in future wireless …
Some New Perspectives on the Multi-user Detection in Uplink Grant-Free NOMA using Deep Neural Network
To support the explosive growth of the Internet of Things (IoT), Uplink (UL) grant-free Non-
Orthogonal Multiple Access (NOMA) emerges as a promising technology. It has the potential …
Orthogonal Multiple Access (NOMA) emerges as a promising technology. It has the potential …
Modeling and optimization of multiple access for 5G networks and beyond
JV De Carvalho Evangelista - 2021 - espace.etsmtl.ca
5G has evolved from a set of requirements to a fully specified cellular communication
standard in the last five years. 5G's design goals followed the trend in LTE standards and …
standard in the last five years. 5G's design goals followed the trend in LTE standards and …
Deep reinforcement learning for resource allocation in beyond 5G systems
R Huang - 2022 - open.library.ubc.ca
With the rapid development of wireless network-enabled applications, the beyond fifth
generation (B5G) wireless systems are required to support a large number of mobile and …
generation (B5G) wireless systems are required to support a large number of mobile and …