Adaptive Height Optimization for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach

Adaptive Height Optimization for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach

Providing reliable connectivity to cellular-connected Unmanned Aerial Vehicles (UAVs) can be very challenging; their performance highly depends on the nature of the surrounding environment, such as density and heights of the ground Base Stations (BSs). On the other hand, tall buildings might block u...

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Bibliographic Details
Main Authors: Erika Fonseca, Boris Galkin, Ramy Amer, Luiz A. DaSilva, Ivana Dusparic
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Experimental measurements
massive MIMO
reinforcement learning
two-tier networks
unmanned aerial vehicles (UAVs)
Online Access:https://ieeexplore.ieee.org/document/10005608/

Internet

https://ieeexplore.ieee.org/document/10005608/

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