A vision and framework for the high altitude platform station (HAPS) networks of the future
A High Altitude Platform Station (HAPS) is a network node that operates in the stratosphere
at an of altitude around 20 km and is instrumental for providing communication services …
at an of altitude around 20 km and is instrumental for providing communication services …
Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities
S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …
extremely diverse and challenging requirements. To fulfill such diverse requirements …
6G Visions: Mobile ultra-broadband, super internet-of-things, and artificial intelligence
With a ten-year horizon from concept to reality, it is time now to start thinking about what will
the sixth-generation (6G) mobile communications be on the eve of the fifth-generation (5G) …
the sixth-generation (6G) mobile communications be on the eve of the fifth-generation (5G) …
Dynamic spectrum interaction of UAV flight formation communication with priority: A deep reinforcement learning approach
The formation flights of multiple unmanned aerial vehicles (UAV) can improve the success
probability of single-machine. Dynamic spectrum interaction solves the problem of the …
probability of single-machine. Dynamic spectrum interaction solves the problem of the …
Artificial intelligence inspired transmission scheduling in cognitive vehicular communications and networks
The Internet of Things (IoT) platform has played a significant role in improving road transport
safety and efficiency by ubiquitously connecting intelligent vehicles through wireless …
safety and efficiency by ubiquitously connecting intelligent vehicles through wireless …
Deep reinforcement learning-based modulation and coding scheme selection in cognitive heterogeneous networks
We consider a cognitive heterogeneous network (HetNet), in which multiple pairs of
secondary users adopt sensing-based approaches to coexist with a pair of primary users on …
secondary users adopt sensing-based approaches to coexist with a pair of primary users on …
Error performance of NOMA-based cognitive radio networks with partial relay selection and interference power constraints
Non-orthogonal multiple access (NOMA)-based cognitive radio (CR) networks have recently
emerged as a promising solution to enhance the spectral efficiency and massive …
emerged as a promising solution to enhance the spectral efficiency and massive …
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 …
Comprehensive survey of machine learning approaches in cognitive radio-based vehicular ad hoc networks
Nowadays, machine learning (ML), which is one of the most rapidly growing technical tools,
is extensively used to solve critical challenges in various domains. Vehicular ad hoc network …
is extensively used to solve critical challenges in various domains. Vehicular ad hoc network …
Deep reinforcement learning-based multidimensional resource management for energy harvesting cognitive NOMA communications
The combination of energy harvesting (EH), cognitive radio (CR), and non-orthogonal
multiple access (NOMA) is a promising solution to improve energy efficiency and spectral …
multiple access (NOMA) is a promising solution to improve energy efficiency and spectral …