Performance evaluation method and system of urllc system based on physical layer authentication

Abstract

This disclosure describes a performance evaluation method of a URLLC system based on physical layer authentication, which includes: the transmitting end transmits a frame to the receiving end, the frame includes a pilot signal, an authentication signal and an information signal, the authentication signal is superimposed on the information signal, and the information signal It is obtained by channel coding and modulation of the initial signal, and the authentication signal is obtained based on the information signal, hash function and key; the receiving end calculates the frame error probability based on the frame, and then calculates the decoding probability of data transmission, and the receiving end obtains it based on the frame and hypothesis testing conditions False alarm probability, and then obtain the average false alarm probability, based on the Neiman-Pearson theory, set the average false alarm probability equal to the upper limit of the false alarm probability, obtain the optimal threshold, obtain the detection probability based on the optimal threshold, and obtain the average detection probability based on the detection probability Probability; when the decoding probability and average detection probability meet the system requirements, the frame is authenticated, and the receiving end obtains throughput based on the decoding probability and average detection probability to evaluate the performance of the URLLC system.

Description

technical field [0001] The present disclosure relates to the technical field of URLLC communication, and in particular, to a method and system for evaluating the performance of a URLLC system based on physical layer authentication. Background technique [0002] Most existing wireless networks typically focus on human-centric communications, latency-tolerant content, and reliability levels that fail to provide ultra-high reliability and low latency. New uses of wireless communication, such as fifth generation (5G) wireless access, are also envisaged in areas such as augmented and virtual reality, industrial control, autonomous driving or flight, robotics and the haptic internet. In response, new versions of mobile cellular networks are expected to support Ultra Reliable Low Latency Communications (URLLC) scenarios with stringent latency requirements and reliability. [0003] In the existing URLLC field, its security is usually realized by the upper layer traditional cryptogr...

AI Technical Summary

Problems solved by technology

One is efficiency issues, due to the unavoidable various time-consuming tasks in the upper layers and in the physical layer (PHY) before the transmitter can be verified

The second is the compatibility issue, which is due to the different wireless devices produced by different manufacturers, and because the lack of understanding of different digital languages ​​​​and communication processes at the upper layer hinders the large-scale connection of URLLC

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