SLM and PTS Integration (Low-Complexity Approach)

Selective Mapping (SLM) and Partial Transmit Sequence (PTS) are two classic algorithms commonly used to reduce the Peak-to-Average Power Ratio (PAPR) in OFDM signals. Directly combining these traditional methods typically results in a sharp increase in computational complexity, whereas the low-complexity integration approach achieves a balance between performance and efficiency through the following strategies:

Core Methodology Hierarchical Processing: First performs coarse screening of phase rotation factors using SLM to rapidly reduce the number of candidate sequences Dynamic Partitioning: Implements non-uniform subblock partitioning strategy during PTS phase, prioritizing high-power subcarrier clusters Joint Optimization: Utilizes phase information from SLM output to initialize the rotation factor search space for PTS

Key Complexity Control Techniques Employs lookup tables to reuse intermediate computation results from the SLM stage Sets early termination thresholds to immediately stop iterations when target PAPR values are achieved Implements adaptive subblock number adjustment, dynamically selecting 4/8/16 subblock configurations based on signal characteristics

This integration approach maintains PAPR suppression performance close to traditional SLM-PTS combination algorithms while reducing computational load by approximately 60%. In practical implementations, careful consideration must be given to the trade-off between phase factor quantization precision and search step size. Typically, QPSK quantization combined with 3dB search steps achieves satisfactory results.

Code Implementation Notes: - The hierarchical processing can be implemented using phased SLM where initial candidate reduction uses binary phase rotations - Dynamic partitioning requires real-time power analysis of subcarrier groups using FFT-based power calculation functions - Lookup table implementation should cache rotation factor combinations and their corresponding PAPR values - Early termination checks can be integrated within the main iteration loop using conditional break statements - Adaptive subblock selection can be implemented through signal variance analysis and threshold comparisons