Mobile robot path planning refers to the design of the safely collision-free path with shortest
distance and least time-consuming from the starting point to the end point by a mobile robot …

Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …

Path planning is one of the most important problems to be explored in unmanned aerial
vehicles (UAVs) for finding an optimal path between source and destination. Although, in …

This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …

The rapid growth of consumer unmanned aerial vehicles (UAVs) is creating promising new
business opportunities for cellular operators. On the one hand, UAVs can be connected to …

The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

Path planning is one of the most important steps in the navigation and control of Unmanned
Aerial Vehicles (UAVs). It ensures an optimal and collision-free path between two locations …

In this paper, an interference-aware path planning scheme for a network of cellular-
connected unmanned aerial vehicles (UAVs) is proposed. In particular, each UAV aims at …

Due to the recent progress in Deep Neural Networks, Reinforcement Learning (RL) has
become one of the most important and useful technology. It is a learning method where a …

The key objective of unmanned aerial vehicle (UAV) path planning is to produce a flight path
that connects a start state and a goal state while meeting the required constraints …