Data Downlink System in the Vast IOT Node Condition Assisted by UAV, Large Intelligent Surface, and Power and Data...

Area of Science:

• Wireless communication systems
• Internet of Things (IoT)
• Energy harvesting technologies

Background:

• Future communication systems face increased demand from the Internet of Things (IoT).
• Efficient control and energy management of numerous IoT nodes are critical challenges.
• Miniaturization and energy conservation are essential design considerations for IoT devices.

Purpose of the Study:

• To design a novel data downlink system for IoT nodes that prioritizes energy harvesting before data reception.
• To address the challenge of managing vast numbers of IoT nodes without pre-locating them.
• To optimize system performance by integrating unmanned aerial vehicles (UAVs), large intelligent surfaces (LISs), and power and data beacons (PDBs).

Main Methods:

• Proposed a Power and Data Beacon (PDB) to act as a relay for energy and data, eliminating the need for pre-locating IoT nodes.
• Modeled future communication scenarios incorporating UAVs, LISs, and PDBs.
• Developed and solved optimization problems for UAV flight trajectories to minimize energy or time consumption using numerical algorithms.

Main Results:

• Demonstrated significant performance improvements in terms of energy efficiency and time consumption.
• Validated the effectiveness of Large Intelligent Surfaces (LISs) in enhancing system performance.
• Showcased the benefits of optimized Unmanned Aerial Vehicle (UAV) trajectory planning.

Conclusions:

• The proposed data downlink system effectively manages IoT nodes by enabling energy harvesting prior to data reception.
• The integration of PDBs, LISs, and optimized UAV trajectories offers a viable solution for future energy-efficient and time-optimized IoT communication systems.
• Numerical simulations confirm substantial gains in energy and time efficiency, highlighting the potential of the proposed architecture.