2021
DOI: 10.1109/access.2021.3051695
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Reinforcement Learning-Based Resource Management Model for Fog Radio Access Network Architectures in 5G

Abstract: The need to cope with the continuously growing number of connected users and the increased demand for mobile broadband services in the Internet of Things has led to the notion of introducing the fog computing paradigm in fifth generation (5G) mobile networks in the form of fog radio access network (F-RAN). The F-RAN approach emphasises bringing the computation capability to the edge of the network so as to reduce network bottlenecks and improve latency. However, despite the potential, the management of computa… Show more

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Cited by 28 publications
(15 citation statements)
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“…Some IoT applications are delay-sensitive and cannot tolerate such delays. To handle this problem, F-RAN is a critical solution for the Fifth-generation (5G) communication systems to support the URLLC requirement for IoT devices and applications [97]. The fog nodes are capable of performing signal processing, computation, and RF functionalities.…”
Section: B Fog Computing Environment Related Challengesmentioning
confidence: 99%
“…Some IoT applications are delay-sensitive and cannot tolerate such delays. To handle this problem, F-RAN is a critical solution for the Fifth-generation (5G) communication systems to support the URLLC requirement for IoT devices and applications [97]. The fog nodes are capable of performing signal processing, computation, and RF functionalities.…”
Section: B Fog Computing Environment Related Challengesmentioning
confidence: 99%
“…In the last few years, RL and DRL techniques have increasingly attracted research community interest, due to their robustness and dynamicity. They have demonstrated them superlatively in the context of dynamic channel allocation, and many papers [47][48][49][50][51][52][53][54][55] have mainly based on the Q-learning, SARSA, expected SARSA, Monte Carlo, and Actor-Critic (A2C), to allocate radio or edge/fog resources to network slices, in order to maximise the operator revenue, QoS satisfaction, and resource utilisation. To deal with scalability issues faced by RL-based approaches, the approaches in Ref.…”
Section: Elhachmi -209mentioning
confidence: 99%
“…The Internet of Things (IoT) offers tremendous occasions to the engineering and industrial activities [5,17]. Undoubtedly, this innovation is expected to be far more dynamic with the up and coming Fifth-Generation (5G) mobile network [18]. Nevertheless, the huge IoT utilization in basic areas, leads to the production of plentiful delicate and real time information.…”
Section: Related Workmentioning
confidence: 99%