Traffic and Obstacle-Aware UAV Positioning in Urban Environments Using Reinforcement Learning

Unmanned Aerial Vehicles (UAVs) are suited as cost-effective and adaptable platforms for carrying Wi-Fi Access Points (APs) and cellular Base Stations (BSs). Implementing aerial networks in disaster management scenarios and crowded areas can effectively enhance Quality of Service (QoS). Maintaining...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:IEEE Access
المؤلفون الرئيسيون: Kamran Shafafi, Manuel Ricardo, Rui Campos
التنسيق: مقال
اللغة:الإنجليزية
منشور في: IEEE 2024-01-01
الموضوعات:
Unmanned aerial vehicles
UAV positioning
aerial networks
LoS communications technology
reinforcement learning
high-capacity communications
الوصول للمادة أونلاين:https://ieeexplore.ieee.org/document/10792915/

الانترنت

https://ieeexplore.ieee.org/document/10792915/

مواد مشابهة