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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 …
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 …
Artificial Intelligence for Satellite Communication: A Survey
This paper provides a comprehensive survey on the application and development of
Artificial Intelligence (AI) and Machine Learning (ML) in satellite communication (SATCOM) …
Artificial Intelligence (AI) and Machine Learning (ML) in satellite communication (SATCOM) …
AI-empowered multiple access for 6G: A survey of spectrum sensing, protocol designs, and optimizations
With the rapidly increasing number of bandwidth-intensive terminals capable of intelligent
computing and communication, such as smart devices equipped with shallow neural …
computing and communication, such as smart devices equipped with shallow neural …
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 …
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 …
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 …
Intelligent resource allocation in backscatter-NOMA networks: A soft actor critic framework
With the use of power domain non-orthogonal multiple access (NOMA) and backscatter
communication (BAC), future sixth-generation ultra-massive machine-type communications …
communication (BAC), future sixth-generation ultra-massive machine-type communications …