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Published on: March 20, 2017
Exact SER Analysis of Partial-CSI-Based SWIPT OAF Relaying over Rayleigh Fading Channels and Insights from a
1Department of Electronics Engineering, Korea National University of Transportation, 50 Daehak-ro, Chungju-si 27469, Republic of Korea.
This study analyzes simultaneous wireless information and power transfer (SWIPT) systems with opportunistic amplify-and-forward (OAF) relays. We developed methods to evaluate error rates, offering insights for designing future wireless networks.
Area of Science:
- Wireless Communication Engineering
- Information Theory
- Signal Processing
Background:
- Simultaneous Wireless Information and Power Transfer (SWIPT) systems are crucial for energy-efficient wireless networks.
- Opportunistic Amplify-and-Forward (OAF) relaying enhances system performance in fading channels.
- Power Splitting (PS) is essential for balancing data transmission and energy harvesting in SWIPT relays.
Purpose of the Study:
- To investigate the Symbol Error Rate (SER) performance of SWIPT-OAF systems under Rayleigh fading.
- To provide analytical expressions for SER based on system parameters like power splitting ratio (ρ) and link quality.
- To develop a novel approximation for performance analysis and extend the framework to practical scenarios.
Main Methods:
- Derivation of exact and asymptotic SER expressions using Moment-Generating Function (MGF) methods.
- Development of an approximation to model SWIPT-OAF as an equivalent non-SWIPT OAF system.
- Extension of the analysis to include partial Channel State Information (CSI) and Nth best relay selection.
Main Results:
- Analytical insights into the impact of power splitting ratio and link quality on SER.
- A tractable approximation that maintains key diversity characteristics of the system.
- Validation of theoretical analysis through extensive simulations across various Signal-to-Noise Ratio (SNR) and channel conditions.
Conclusions:
- The proposed methods offer a flexible and scalable design strategy for SWIPT-OAF relay systems.
- The findings are applicable to emerging wireless sensor and Internet of Things (IoT) networks.
- The study demonstrates the robustness of the analytical and approximation frameworks.
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