Построение и анализ модели передачи в соте 5G в виде двухфазной системы массового обслуживания с учетом механизма предсказания повторной передачи

Abstract

The mechanism of early channel adaptation based on e-HARQ (early Hybrid Automatic Repeat reQuest) prediction for the downlink of a mobile network, which solves the problem of improving information transmission characteristics, is studied. The model is a two-phase queuing system (QS). In the QS, at the first phase, the prediction process with the possibility of relaying is modeled, and at the second phase, the process of message processing by the user terminal based on the HARQ physical layer protocol is considered. The HARQ protocol in the 5G network provides the transmitter with an acknowledgment message ACK in case of successful decoding of the packet, and NACK in case of error. Its main disadvantage is the limitation on RTT (Round Trip Time) - the time interval between the initial and retransmission processes. Numerical analysis of the obtained probabilistic-temporal characteristics (PTCR) is carried out. At the first stage, the transition probabilities were found by modeling the link layer of the 5G network. Obtaining realistic values for the transition probabilities allows using this analytical model to analyze and optimize existing e-HARQ prediction schemes. Next, a simulation complex was developed to check the correctness of the analytical model.