… and IoT networks. We start with the challenges of resource management in cellular IoT
and low-power IoT networks, review the traditional resource management mechanisms for …

… potential enablers of the mMTC scenario with a particular emphasis on the RAN congestion
problem and emerging Machine Learning (… terms of network resource management and they …

… Hossain, ‘‘Machine learning for resource management in cellular and IoT networks:
Potentials, current solutions, and open challenges,’’ 2019, arXiv:1907.08965. [Online]. Available: …

… or virtual resource manager in NFV can become potential … , the potential of ML at the edge
of wireless networks is also … Similarly, in [180], the traffic scheduling problem of IoT networks is …

… of embedded systems communicating through wired or wireless communication … a range
of services such as device management, resource management, data processing, analysis, and …

… block of a wireless system that we currently are familiar with … , future vision and potential 6G
applications. In Section V, we … to the network for use in resource management, making mobile …

… on learning for IoT are also reviewed in [22]. The applications of … ] focus on the potentials of
machine learning in enabling the self… machine learning to resource management, networking, …

… the potential of blockchain using machine learning and deep learning for resource management
in 5G and IoT networks. • … the 5G cellular resource management with deep learning and …

… obtaining the current optimal rewards. … resource management on cellular and IoT networks.
Initially, we started by identifying the challenges of resource management in IoT networks …

… -ed within IoT systems to leverage their potential. This chapter … congestion control, fault
detection, resource management and … on reinforcement learning for wireless sensor networks: A …