Next-gen resource optimization in NB-IoT networks: Harnessing soft actor–critic reinforcement learning
S Anbazhagan, RK Mugelan - Computer Networks, 2024 - Elsevier
Abstract Resource allocation in Narrowband Internet of Things (NB-IoT) networks is a
complex challenge due to dynamic user demands, variable channel conditions, and …
complex challenge due to dynamic user demands, variable channel conditions, and …
A power allocation scheme using non-cooperative game theory in ultra-dense networks
X Wang, B Liu, X Su - 2018 27th Wireless and Optical …, 2018 - ieeexplore.ieee.org
In order to meet the demand of ultra-high-flow communication after 2020, ultra-dense
networks (UDN) is considered to become a key technology of 5G. By deploying a large …
networks (UDN) is considered to become a key technology of 5G. By deploying a large …
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 …
A Novel Approach on Deep Reinforcement Learning for Improved Throughput in Power-Restricted IoT Networks
E Sweety Bakyarani, NP Singh, J Shekhawat… - … Conference on Electrical …, 2023 - Springer
The rapid expansion of the Internet of Things (IoT) has stressed the importance of energy-
efficient communication protocols, particularly in networks operating under power …
efficient communication protocols, particularly in networks operating under power …
Online learning of optimal proactive schedule based on outdated knowledge for energy harvesting powered Internet-of-Things
This paper aims to produce an effective online scheduling technique, where a base station
(BS) schedules the transmissions of energy harvesting-powered Internet-of-Things (IoT) …
(BS) schedules the transmissions of energy harvesting-powered Internet-of-Things (IoT) …
Joint wireless source management and task offloading in ultra-dense network
S Pang, S Wang - IEEE Access, 2020 - ieeexplore.ieee.org
The ultra-dense network (UDN) based on mobile edge computing (MEC) is an important
technology, which can achieve the low-latency of 5G communications and enhance the …
technology, which can achieve the low-latency of 5G communications and enhance the …
Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas
Over the past decade, Unmanned Aerial Vehicles (UAVs) have attracted significant attention
due to their potential applications in emergency-response applications, including wireless …
due to their potential applications in emergency-response applications, including wireless …
Multi-objective optimization for UAV-enabled wireless powered IoT networks: an LSTM-based deep reinforcement learning approach
S Zhang, R Cao - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
In this letter, we study a multi-objective optimization problem in an unmanned aerial vehicle
(UAV)-enabled wireless powered internet of things (IoT) system. Our aim is to maximize the …
(UAV)-enabled wireless powered internet of things (IoT) system. Our aim is to maximize the …
Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation
In order to overcome the limitation of traditional reinforcement learning techniques on the
restricted dimensionality of state and action spaces, the recent breakthroughs of deep …
restricted dimensionality of state and action spaces, the recent breakthroughs of deep …
Ultra-dense hetnets meet big data: Green frameworks, techniques, and approaches
Ultra-dense heterogeneous networks (Ud-HetNets) have been put forward to improve the
network capacity for next-generation wireless networks. However, counter to the 5G vision …
network capacity for next-generation wireless networks. However, counter to the 5G vision …