Interference management in 5G and beyond networks: A comprehensive survey
During the last decade, wireless data services have had an incredible impact on people's
lives in ways we could never have imagined. The number of mobile devices has increased …
lives in ways we could never have imagined. The number of mobile devices has increased …
Deep reinforcement learning for internet of drones networks: issues and research directions
N Aboueleneen, A Alwarafy… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
Internet of Drones (IoD) is one of the promising technologies to enhance the performance of
wireless networks. Deploying IoD to assist wireless networks, however, needs to address …
wireless networks. Deploying IoD to assist wireless networks, however, needs to address …
Nonlinear energy-harvesting for D2D networks underlaying UAV with SWIPT using MADQN
Energy Efficiency (EE) has become an essential metric in Device-to-Device (D2D)
communication underlaying Unmanned Aerial Vehicles (UAVs) Among the several …
communication underlaying Unmanned Aerial Vehicles (UAVs) Among the several …
[HTML][HTML] Energy-efficient joint resource allocation in 5G HetNet using Multi-Agent Parameterized Deep Reinforcement learning
Small cells are a promising technique to improve the capacity and throughput of future
wireless networks. However, user association and power allocation in heterogeneous …
wireless networks. However, user association and power allocation in heterogeneous …
Principle Operation of a Line Follower Robot
MA Baballe - TMP Universal Journal of Research and …, 2023 - tmp.twistingmemoirs.com
A rudimentary autonomously guided robot called a" Line Follower Robot"(LFR) follows a line
written on the ground to either find a white line on a dark surface or a dark line on a white …
written on the ground to either find a white line on a dark surface or a dark line on a white …
Distributed DRL-based downlink power allocation for hybrid RF/VLC networks
Hybrid radio frequency (RF) and visible light communication (VLC) networks can provide
high throughput and energy efficiency with VLC access points (APs) while ensuring …
high throughput and energy efficiency with VLC access points (APs) while ensuring …
An overview of reinforcement learning-based approaches for smart home energy management systems with energy storages
The paper's state-of-the-art review focuses on an in-depth evaluation of smart home energy
management systems which employ reinforcement learning-based methods to integrate …
management systems which employ reinforcement learning-based methods to integrate …
AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business
S Kumar - Big Data Mining and Analytics, 2024 - ieeexplore.ieee.org
Open Air Interface (OAI) alliance recently introduced a new disaggregated Open Radio
Access Networks (O-RAN) framework for next generation telecommunications and networks …
Access Networks (O-RAN) framework for next generation telecommunications and networks …
Path following and avoiding obstacle for mobile robot under dynamic environments using reinforcement learning
VD Cong - Journal of Robotics and Control (JRC), 2023 - journal.umy.ac.id
Obstacle avoidance for mobile robot to reach the desired target from a start location is one of
the most interesting research topics. However, until now, few works discuss about working of …
the most interesting research topics. However, until now, few works discuss about working of …
Joint design of access and backhaul in densely deployed mmWave small cells
With the rapid growth of mobile data traffic, the shortage of radio spectrum resource has
become increasingly prominent. Millimeter wave (mmWave) small cells can be densely …
become increasingly prominent. Millimeter wave (mmWave) small cells can be densely …