Semi-Blind Error Resilient SLM for PAPR Reduction in OFDM Using Spread Spectrum Codes

Area of Science:

• Electrical Engineering
• Signal Processing
• Telecommunications

Background:

• High peak-to-average power ratio (PAPR) is a significant challenge in Orthogonal Frequency Division Multiplexing (OFDM) systems, impacting efficiency and performance.
• Selected Mapping (SLM) is an effective technique for PAPR reduction but requires transmitting side information (SI) index, which decreases overall system throughput.

Purpose of the Study:

• To propose a novel semi-blind error-resilient SLM system for OFDM that mitigates PAPR issues.
• To embed the SI index within transmitted symbols using spread spectrum codes without increasing average energy per symbol.
• To develop a new receiver with reduced computational complexity that does not require perfect channel state information (CSI).

Main Methods:

• Utilizing spread spectrum codes for innovative embedding of the SI index in transmitted symbols.
• Implementing an error-resilient SLM system to correct potential errors in SI index detection.
• Designing a new receiver for efficient SI index detection with lower computational demands.

Main Results:

• The proposed method effectively embeds SI index without augmenting average symbol energy.
• The system demonstrates resilience to errors in SI index detection.
• Simulations confirm good performance in terms of both SI index detection error and bit error rate (BER).

Conclusions:

• The developed semi-blind error-resilient SLM system offers a viable solution for PAPR reduction in OFDM.
• The innovative SI index embedding and receiver design enhance system throughput and robustness.
• The proposed approach achieves a favorable trade-off between performance and complexity.