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System Performance Analysis for an Energy Harvesting IoT System Using a DF/AF UAV-Enabled Relay with Downlink NOMA
Anh-Nhat Nguyen1, Van Nhan Vo2,3, Chakchai So-In1
1Applied Network Technology (ANT) Laboratory, Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand.
Sensors (Basel, Switzerland)
|January 7, 2021
Summary
This study explores Internet of Things (IoT) system performance using an energy harvesting (EH) unmanned aerial vehicle (UAV) relay. It optimizes throughput and minimizes outage probability using adaptive power splitting and non-orthogonal multiple access.
Area of Science:
- Wireless Communications
- Internet of Things (IoT)
- Aerial Networks
Background:
- Internet of Things (IoT) systems face challenges in reliable data transmission and energy efficiency.
- Unmanned Aerial Vehicles (UAVs) offer flexible deployment as relays but require efficient energy management.
- Existing protocols may not optimally balance energy harvesting and data transmission for UAV relays.
Purpose of the Study:
- To investigate the system performance of an energy harvesting (EH) unmanned aerial vehicle (UAV)-enabled relay in IoT networks.
- To analyze the impact of time switching (TS) and adaptive power splitting (APS) protocols on system throughput and outage probability.
- To develop an algorithm for optimizing EH time to minimize outage probability under imperfect channel conditions.
Main Methods:
- Proposed a UAV-aided TS and APS (U-TSAPS) protocol enabling dynamic power splitting ratio optimization.
- Applied non-orthogonal multiple access (NOMA) for both transmission hops to enhance throughput.
- Derived closed-form expressions for outage probabilities (OPs) under imperfect channel state information (ICSI) and evaluated system throughput.
- Developed an algorithm for near-optimal energy harvesting (EH) time determination.
Main Results:
- Achieved improved system throughput by applying NOMA in both hops.
- Derived analytical expressions for outage probabilities (OPs) at near and far IoT devices.
- Demonstrated the effectiveness of the proposed U-TSAPS protocol and EH time optimization algorithm through simulations.
- Validated system performance under various parameters including EH time, UAV position, and antenna configurations.
Conclusions:
- The proposed U-TSAPS protocol effectively enhances IoT system performance by optimizing power splitting and utilizing NOMA.
- The derived analytical models accurately predict system performance, including outage probability and throughput.
- The developed algorithm provides a near-optimal solution for EH time, crucial for sustainable UAV-enabled IoT networks.
Keywords:
adaptive power splittingenergy harvestinginternet of thingsnonorthogonal multiple accesstime switchingunmanned aerial vehiclesMore Related Videos
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