I'll provide a comprehensive response to the prompt, combining the strengths of SLM and PTS techniques for PAPR reduction in NOMA systems within 5G:

Understanding PAPR in NOMA Systems:

• NOMA (Non-Orthogonal Multiple Access) is a promising technology in 5G that enhances spectral efficiency by enabling multiple users to share the same time-frequency resources.
• PAPR (Peak-to-Average Power Ratio) is a major challenge in NOMA systems due to the superposition of multiple user signals, leading to:Amplifier nonlinearities, causing signal distortion and performance degradation. Out-of-band emission, interfering with adjacent channels.

PAPR Reduction Techniques:

• Selective Mapping (SLM):Generates multiple candidate signals with different phase rotations. Selects and transmits the signal with the lowest PAPR. Pros: Simple implementation, effective PAPR reduction. Cons: Requires side information for synchronization, increases overhead.
• Partial Transmit Sequence (PTS):Divides the NOMA signal into multiple subblocks. Optimizes phase rotations for each subblock to minimize PAPR. Combines subblocks for transmission. Pros: Effective PAPR reduction, better spectral efficiency than SLM. Cons: Increased computational complexity.

Hybrid SLM-PTS Approach:

• Combines the benefits of both techniques for enhanced PAPR reduction and spectral efficiency.
• Steps:Generate multiple candidate signals using SLM. Divide each candidate signal into subblocks using PTS. Optimize phase rotations for each subblock within each candidate signal. Select the candidate signal with the lowest overall PAPR for transmission.

Advantages of SLM-PTS:

• Offers superior PAPR reduction compared to individual SLM or PTS.
• Improves spectral efficiency and BER performance.
• Minimizes out-of-band emission.

Considerations:

• Computational complexity increases due to combined processing.
• Careful optimization of SLM and PTS parameters is crucial for balancing PAPR reduction and implementation complexity.

Conclusion:

The SLM-PTS hybrid technique is a promising approach for effective PAPR reduction in NOMA systems within 5G, enhancing spectral efficiency, signal quality, and overall system performance.

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