Polar Code Parity Check Allocation for 5G Rate-Matched Encoding

The patent dynamically adjusts the number of parity check bits based on channel conditions, data characteristics, and quality of service requirements. By changing the parameter of parity bit count rather than using a fixed value, the system achieves adaptive error correction capability that matches actual transmission needs, improving reliability when necessary while reducing complexity when channel conditions are good.

The encoding scheme transitions from static to dynamic by allowing the number of parity check bits to vary according to real-time system state. The transmitter determines the optimal number of parity bits based on current channel quality indicators, buffer status, and service type, enabling the system to adapt its error correction strength dynamically rather than being constrained by a predetermined fixed value.

The system dynamically changes the parity bit parameter to optimize the trade-off between reliability and efficiency. When channel conditions deteriorate or service requirements demand higher reliability, the number of parity bits is increased. When channel conditions are favorable or efficiency is prioritized, the number of parity bits is reduced, thereby maximizing transmission efficiency while maintaining adequate error protection.

Instead of applying maximum error correction (excessive action) in all cases, the system applies partial error correction only when necessary based on actual channel conditions and service requirements. This avoids the overhead of always using the maximum number of parity bits, thus maintaining transmission efficiency while providing sufficient error correction capability when needed.

The patent implements a dynamic determination mechanism where the number of parity check bits is not fixed but adapted based on channel quality indicators, data characteristics, and service type. This dynamic approach enables the system to respond to varying channel conditions and traffic requirements, achieving versatility across different operating scenarios without requiring complex manual configuration.

The encoding system performs self-adjustment by automatically determining the appropriate number of parity check bits based on internally available information such as channel quality feedback, buffer status, and service type classification. This self-service capability eliminates the need for external configuration or complex control mechanisms, achieving adaptability through autonomous decision-making at the transmitter.