5G中基于功率测量的PDCCH自适应盲检测算法

针对5G系统中物理下行控制信道(Physical Downlink Control Channel,PDCCH)的盲检效率问题,结合已有盲检测算法,通过分析5G PDCCH特性,提出一种基于功率测量的PDCCH自适应盲检测算法。先根据信道质量指示(Channel Quality Indicator,CQI)自适应调整盲检聚合等级顺序,再通过功率测量剔除部分候选集序号。仿真结果表明,与已有功率检测算法相比,该方法在保证盲检成功概率不下降的情况下,平均盲检次数减少5次,能够显著提高盲检效率,且在信道质量条件较差时具有较好的平稳性。

POWER MEASUREMENT-BASED PDCCH ADAPTIVE BLIND DETECTION ALGORITHM IN 5G

Aiming at the problem of blind detection efficiency of the Physical Downlink Control Channel(PDCCH)in the 5G(the fifth generation)system,this paper proposes a power measurement-based PDCCH adaptive blind detection algorithm by combining the existing blind detection algorithm and analyzing the characteristics of PDCCH in 5G.According to Channel Quality Indicator(CQI),it adaptively adjusted the order of blind detection aggregation level,and then some candidate set numbers were removed through power measurement.The simulation results show that compared with the existing power detection algorithm,the method can reduce the average number of blind detection by 5 times while ensuring that the probability of successful blind detection does not decrease.It can significantly improve the efficiency of blind detection,and has better stability when the channel quality condition is poor.