[HTML][HTML] Recent advances in physical reservoir computing: A review
Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …
processing. It is derived from several recurrent neural network models, including echo state …
Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends
Abstract The Internet of Vehicles (IoV) and Vehicle‐to‐Everything (V2X) concept have
emerged from IoT technology, which refers to connecting many vehicles with various …
emerged from IoT technology, which refers to connecting many vehicles with various …
Artificial intelligence-enabled cellular networks: A critical path to beyond-5G and 6G
R Shafin, L Liu, V Chandrasekhar… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
Mobile network operators (MNOs) are in the process of overlaying their conventional macro
cellular networks with shorter range cells such as outdoor pico cells. The resultant increase …
cellular networks with shorter range cells such as outdoor pico cells. The resultant increase …
Deep-reinforcement learning multiple access for heterogeneous wireless networks
This paper investigates a deep reinforcement learning (DRL)-based MAC protocol for
heterogeneous wireless networking, referred to as a Deep-reinforcement Learning Multiple …
heterogeneous wireless networking, referred to as a Deep-reinforcement Learning Multiple …
A taxonomy of AI techniques for 6G communication networks
With 6G flagship program launched by the University of Oulu, Finland, for full future
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …
Artificial intelligence enabled Internet of Things: Network architecture and spectrum access
The explosive growth of wireless devices motivates the development of the internet-of-things
(IoT), which is capable of interconnecting massive and diverse" things" via wireless …
(IoT), which is capable of interconnecting massive and diverse" things" via wireless …
Bruce Lee-inspired fluid antenna system: Six research topics and the potentials for 6G
While 5G is tasked to transform our lives for the better over the next 10 years, next-
generation mobile communications, aka 6G, will undoubtedly demand even higher energy …
generation mobile communications, aka 6G, will undoubtedly demand even higher energy …
Power control based on deep reinforcement learning for spectrum sharing
In the current researches, artificial intelligence (AI) plays a crucial role in resource
management for the next generation wireless communication network. However, traditional …
management for the next generation wireless communication network. However, traditional …
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 …
Deep reinforcement learning for throughput improvement of the uplink grant-free NOMA system
Facing the dramatic increase of mobile devices and the scarcity of spectrum resources, grant-
free nonorthogonal multiple access (NOMA) emerges as an enabling technology for …
free nonorthogonal multiple access (NOMA) emerges as an enabling technology for …