一种基于动态更新映射表的5G PDCCH盲检方法

A 5G PDCCH blind detection method based on dynamically updated mapping table

为解决5G物理下行控制信道(PDCCH)盲检问题,本文提出了一种基于动态更新映射表的盲检方法,以提高盲检的准确性和效率。本文首先分析了现有的PDCCH盲检方法,指出了其在复杂度、实时性、泛化性和准确性方面的不足。针对这些问题,本文提出了一种基于动态更新映射表的盲检方法,该方法根据信噪比状态、信噪比值范围与聚合等级之间的对应关系构造映射表,在盲检过程中,根据终端的信噪比状态,通过查表快速锁定聚合等级,同时根据限定的触发条件动态更新终端的信噪比状态和映射表,从而提高盲检的准确性和效率。通过理论性能分析,本文所述方法在盲检准确性和效率方面有显著提升,可以有效解决现有方法的局限性,为5G通信系统中的盲检问题提供了一种有效的解决方法。

This paper aims to address the issue of blind detection in 5G PDCCH by proposing a dynamic mapping tablebased blind detection method to enhance accuracy and effi ciency.The paper fi rst analyzes existing PDCCH blind detection methods,highlighting their limitations in complexity,real-time performance,generalization,and accuracy.To tackle these issues,a dynamic mapping table-based blind detection method is introduced.This method constructs a mapping table based on the relationship between SNR states,SNR value ranges,and aggregation levels.During the blind detection process,the terminal's SNR state is used to quickly lock the aggregation level via table lookup,while the SNR state and mapping table are dynamically updated according to specified trigger conditions,thus improving accuracy and efficiency.Theoretical performance analysis demonstrates that the proposed method signifi cantly enhances detection accuracy and effi ciency,eff ectively addressing the limitations of existing methods and providing a viable solution to the blind detection problem in 5G communication systems.