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NT551

Dr. Dang Van Huynh & Dang Le Bao Chuong, M.Sc. • VNUHCM-UIT

Introduction

Welcome to NT551

This course examines network technologies for Unmanned Aerial Vehicles (UAVs) in the context of the Low-Altitude Economy (LAE), an emerging sector reshaping civil aviation and logistics across China, ASEAN and the wider world. Students study Space-Air-Ground Integrated Networks (SAGIN), Air-to-Ground channel modelling, RIS-assisted UAV communications, routing for Flying Ad-hoc Networks (FANETs), cellular-connected UAVs under recent 3GPP Releases, UAV Traffic Management (UTM/U-space), integrated communication, navigation and surveillance (ICNS), mobile edge computing and federated learning, AI and reinforcement learning for swarm coordination, and UAV security. Three simulation labs and a team project connect the material to Vietnamese LAE use cases in delivery, infrastructure inspection, agriculture and search-and-rescue. The course is a graduation elective designed to run alongside the final-year Capstone Project, and it emphasises application and analysis rather than deep mathematical derivation.

Course Information

Course Code

NT551

Credits

4 (3 theory + 1 practice)

Category

Graduation elective, final year

Prior Course

Introduction to Computer Networks

Learning Outcomes

CLO1: Foundations

Analyse LAE concepts, UAV network architectures (SAGIN, UTICN, SILAS) and the regulatory frameworks of the US, China and Vietnam.

CLO2: Communications

Compute A2G path loss, assess the role of RIS, and deploy and compare routing for FANET and cellular-connected UAVs.

CLO3: Systems

Design a UTM/U-space service with Remote ID, conflict detection and geofencing, and implement an ICNS module.

CLO4: Evaluation

Measure PDR, throughput, latency and energy through simulation, and benchmark AI/RL agents against classical baselines.

CLO5: Teamwork

Build a UAV network solution for a Vietnamese LAE use case in a team, aligned with the student's Capstone Project topic.

CLO6: Communication

Present results, source code and technical reports professionally, with transparent declaration of AI tool usage.

Instructors

DH

Dr. Dang Van Huynh

Lecturer, Department of Computer Networks

Faculty of Computer Networks and Communications

Course design, wireless communications, edge intelligence and AI/RL modules

danghv@uit.edu.vn
BC

Dang Le Bao Chuong, M.Sc.

Lecturer, Department of Computer Networks

Faculty of Computer Networks and Communications

Course design, UAV platforms, UTM/ICNS and laboratory sessions

chuongdlb@uit.edu.vn

Textbooks

  • BOOK

    Wireless Communications and Networking for Unmanned Aerial Vehicles

    Saad, Bennis, Mozaffari & Lin (Cambridge University Press, 2020) • Main textbook

  • BOOK

    Avionics and Air Traffic Management Systems for UAS and Urban Air Mobility

    Sabatini & Roy (Wiley-IEEE Press, 2023) • UTM, ICNS and regulation

Tutorials

  • SLIDE

    Wireless Communications and Networking with UAVs

    Saad, ISWCS 2018 Tutorial T4 (193 slides) • Primary lecture slides for the technical modules

  • PAPER

    A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

    Mozaffari et al., IEEE COMST 2019 • arXiv:1803.00680

  • PAPER

    Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond

    Zeng, Wu & Zhang, Proceedings of the IEEE 2019 • arXiv:1903.05289

Toolchain

Programming

Python ≥ 3.10 C++ Bash

Simulation

ns-3 Mininet-WiFi Gazebo + PX4/ArduPilot SITL QGroundControl

Learning

PyTorch Stable-Baselines3 Gymnasium PettingZoo Ray RLlib

UTM & Analysis

Mosquitto MQTT FastAPI Leaflet / Mapbox Wireshark RTKLIB