OPTIMIZATION ALGORITHM FOR BLIND DETECTION OF PDCCH IN 5G SYSTEM

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.