Artificial intelligence for satellite communication and non-terrestrial networks: A survey
This paper surveys the application and development of Artificial Intelligence (AI) in Satellite
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …
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 …
Multi-agent DRL approach for energy-efficient resource allocation in URLLC-enabled grant-free NOMA systems
Grant-free non-orthogonal multiple access (GF-NOMA) has emerged as a promising access
technology for the fifth generation and beyond wireless networks that enable ultra-reliable …
technology for the fifth generation and beyond wireless networks that enable ultra-reliable …
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 …
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 …
A survey on NB-IoT random access: approaches for uplink radio access network congestion management
L Iiyambo, G Hancke, AM Abu-Mahfouz - IEEE Access, 2024 - ieeexplore.ieee.org
Narrowband Internet of Things (NB-IoT) is one of the most promising technologies for
enabling reliable communication among low-power, and low cost devices present in …
enabling reliable communication among low-power, and low cost devices present in …
Fairness aware deep reinforcement learning for grant-free NOMA-IoT networks
Next generation networks have special areas related with the Internet of Things (IoT) to
improve the performance of cellular networks in terms of throughput. Grant-free non …
improve the performance of cellular networks in terms of throughput. Grant-free non …
A novel NOMA-enhanced SDT scheme for NR RedCap in 5G/B5G systems
Z Shi, J Liu - IEEE Transactions on Wireless Communications, 2023 - ieeexplore.ieee.org
Recently, Reduced Capability (RedCap) New Radio (NR) User Equipment (UE), which has
smaller cost, lower complexity, and longer battery life than normal NR UE, was introduced by …
smaller cost, lower complexity, and longer battery life than normal NR UE, was introduced by …
A learning-based fast uplink grant for massive IoT via support vector machines and long short-term memory
The current random access (RA) allocation techniques suffer from congestion and high
signaling overhead while serving massive machine-type communication (mMTC) …
signaling overhead while serving massive machine-type communication (mMTC) …
Q-learning NOMA random access for IoT-satellite terrestrial relay networks
We consider an IoT-satellite terrestrial relay network providing access for a massive quantity
of IoT devices. In order to overcome the difficulties associated with random access over ultra …
of IoT devices. In order to overcome the difficulties associated with random access over ultra …