5G系统PDCCH盲检测的优化算法  

OPTIMIZATION ALGORITHM FOR BLIND DETECTION OF PDCCH IN 5G SYSTEM

作　　者：汪晓雅 席兵[2] 邓炳光[1] 高锦盟 Wang Xiaoya;Xi Bing;Deng Bingguang;Gao Jinmeng(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;School of Photo-Electronic Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]重庆邮电大学光电工程学院,重庆400065

出　　处：《计算机应用与软件》2024年第11期188-192,227,共6页Computer Applications and Software

基　　金：重庆市技术创新与应用发展专项重大主题专项5G路测仪表的研发及应用项目(cstc2019jscx-zdztzxX0002)。

摘　　要：针对5G系统物理下行控制信道(Physical Downlink Control Channel,PDCCH)盲检测的性能问题,提出一种盲检的优化算法,当信噪比(Signal-to-noise Ratio,SNR)低于判决阈值时,根据信道质量指示(Channel Quality Indication,CQI)判断信道状态质量,选取聚合等级(Aggregation Level,AL)顺序进行盲检;当SNR高于判决阈值时,盲检每个AL下功率最大的PDCCH候选。从漏检率和盲检次数对该算法进行评估,仿真结果表明,该算法在漏检率接近传统盲检算法的情况下,能降低平均盲检次数,提高5G系统PDCCH盲检效率和传输的可靠性。Aimed at the performance of blind detection of the physical downlink control channel(PDCCH)in the 5G system,an optimization algorithm for blind detection is proposed.In this algorithm,when the signal-to-noise ratio(SNR)is lower than the decision threshold,the channel state quality is judged according to the channel quality indication(CQI),and the aggregation level(AL)order is selected for blind detection.When the SNR is higher than the decision threshold,the PDCCH candidate with the highest power in each AL is blindly detected.Evaluation was conducted on this algorithm from blind detection times and missed detection rate.The results show that the missing detection rate is close to the traditional blind detection algorithm and the average number of blind detection is reduced.Thus,the efficiency of PDCCH blind detection and the reliability of channel transmission in the 5G system are improved.

关 键 词：5G 物理下行控制信道 盲检 

分 类 号：TN929.5[电子电信—通信与信息系统] TP3[电子电信—信息与通信工程]