From IoT to 5G I-IoT: The next generation IoT-based intelligent algorithms and 5G technologies
The Internet of Things is a novel paradigm with access to wireless communication systems
and artificial intelligence technologies, which is considered to be applicable to a variety of …
and artificial intelligence technologies, which is considered to be applicable to a variety of …
Thirty years of machine learning: The road to Pareto-optimal wireless networks
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …
complex compelling applications both in military and civilian fields, where the users are able …
Emerging trends of ml-based intelligent services for industrial internet of things (iiot)
Intelligent information technology is a notable feature in the context of industry 4.0. A key
factor in obtaining intelligent industrial Internet of things (IIoT) services is to integrate …
factor in obtaining intelligent industrial Internet of things (IIoT) services is to integrate …
Deep reinforcement learning-empowered resource allocation for mobile edge computing in cellular v2x networks
D Li, S Xu, P Li - Sensors, 2021 - mdpi.com
With the rapid development of vehicular networks, vehicle-to-everything (V2X)
communications have huge number of tasks to be calculated, which brings challenges to the …
communications have huge number of tasks to be calculated, which brings challenges to the …
Fusion of cognitive wireless networks and edge computing
With the expeditious maturation of IoT, intelligent manufacturing is one of its derivatives as a
beneficiary and consequence of the connected environment. No doubt this trend is changing …
beneficiary and consequence of the connected environment. No doubt this trend is changing …
Deep reinforcement learning for radio resource allocation and management in next generation heterogeneous wireless networks: A survey
Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …
massive heterogeneity in terms of the types of network architectures they incorporate, the …
A survey on applications of deep reinforcement learning in resource management for 5G heterogeneous networks
YL Lee, D Qin - 2019 Asia-Pacific Signal and Information …, 2019 - ieeexplore.ieee.org
Heterogeneous networks (HetNets) have been regarded as the key technology for fifth
generation (5G) communications to support the explosive growth of mobile traffics. By …
generation (5G) communications to support the explosive growth of mobile traffics. By …
Reinforcement learning-empowered mobile edge computing for 6G edge intelligence
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …
[PDF][PDF] Thirty years of machine learning: The road to pareto-optimal next-generation wireless networks
Next-generation wireless networks (NGWN) have a substantial potential in terms of
supporting a broad range of complex compelling applications both in military and civilian …
supporting a broad range of complex compelling applications both in military and civilian …
Employing intelligent aerial data aggregators for the internet of things: Challenges and solutions
Internet-of-Things (IoT) devices equipped with temperature and humidity sensors and
cameras are increasingly deployed to monitor remote and human-unfriendly areas (eg …
cameras are increasingly deployed to monitor remote and human-unfriendly areas (eg …