Outage Performance Analysis and SWIPT Optimization in Energy-Harvesting Wireless Sensor Network Deploying NOMA

Area of Science:

• Wireless Communications
• Sensor Networks
• Information Theory

Background:

• Non-Orthogonal Multiple Access (NOMA) enhances wireless communication efficiency.
• Wireless Sensor Networks (WSN) are crucial for data collection.
• Energy Harvesting (EH) is vital for sustainable WSN operation.

Purpose of the Study:

• To evaluate and compare two relaying protocols for WSN-NOMA systems with energy harvesting.
• To analyze the performance of time-switching-based relaying (TSR) and power-splitting-based relaying (PSR) WSN-NOMA.
• To optimize system parameters for improved outage probability and data rate.

Main Methods:

• Development of closed-form expressions for exact and approximate outage probability (OP).
• Evaluation of delay-limited throughput for both TSR and PSR WSN-NOMA protocols.
• Theoretical comparison and formulation of optimization problems for OP reduction and data rate maximization.

Main Results:

• Both TSR and PSR WSN-NOMA achieve performance gains with optimal time-switching (TS) and power-splitting (PS) ratios.
• Closed-form expressions for OP and throughput were derived and validated through numerical and simulation results.
• Optimized TSR WSN-NOMA demonstrates superior performance over PSR WSN-NOMA concerning outage probability.

Conclusions:

• Optimal TS and PS ratios significantly enhance the performance of WSN-NOMA systems.
• TSR WSN-NOMA offers a more robust solution against outages compared to PSR WSN-NOMA.
• The study provides valuable insights for designing efficient energy-harvesting WSN-NOMA systems.