一种基于Polar译码度量选择的第三方高效PDCCH盲检方法

A third-party efficient PDCCH blind detection method based on the selection of polar decoding metrics

为研究和设计面向第三方场景的高效盲检方法,提出了一种基于Polar译码度量选择的第三方高效PDCCH盲检方法,其技术路线包括Polar译码算法与物理的下行控制信道(PDCCH)盲检算法2个板块.基于Polar译码盲检算法,引入一种基于下行控制信息(DCI)长度的Polar译码度量,提出了改进的基于Polar译码度量选择的第三方盲检方法.基于PDCCH盲检算法,引入一种重排序盲检算法.将改进的Polar译码算法与重排序盲检算法有机结合,提出面向第三方场景的高效PDCCH盲检方法.基于MATLAB平台搭建5G PDCCH盲检仿真链路,对所提方法进行验证与分析.结果表明,该方法能够同时有效减小PDCCH盲检次数与DCI候选长度数量,在保证目标捕获准确率的前提下提高盲检效率.

To investigate and design an efficient blind detection method for third-party scenarios,a third-party efficient physical downlink control channel(PDCCH)blind detection method was proposed based on polar decoding metric selection.This method comprised two main components:the study of the polar decoding algorithm,which introduced a polar decoding metric based on downlink control information(DCI)length and proposed an improved third-party blind detection method based on polar decoding metric selection;and the investigation of the PDCCH blind detection algorithm,which introduced a reordering blind detection algorithm.The enhanced polar decoding algorithm and reordering blind detection algorithm were organically combined to present an efficient PDCCH blind detection method for third-party scenarios.The proposed method was validated and analyzed using a 5G PDCCH blind detection simulation link on the MATLAB platform.The results show that the proposed method effectively reduces the number of PDCCH blind detections and the count of DCI candidates while enhancing blind detection efficiency and ensuring target capture accuracy.