Dynamic Traffic Scheduling Strategy for the Coexistence of URLLC and eMBB Services in Power Communication

Abstract

The International Telecommunication Union (ITU) at the 22nd meeting clarified that the three major application scenarios of 5G are Ultra Reliable Low Latency Communication (URLLC), enhance Mobile Bandwidth (eMBB) and Massive Machine Type Communication (mMTC). The eMBB service requires high data transmission rate, large data volume, and high resource occupancy rate; The URLLC service requires a delay as low as 1ms, a reliability of 99.999%, and a high service priority. In this article, we discussed the issue of dynamic resource allocation when URRLC and eMBB services coexist. First, at the beginning of each time slot, according to the current channel state of the eMBB user and its average data rate, the resource block (RBs) is allocated to the eMBB user. Moreover, the resource block allocation problem is modeled as an artificial neural network, and the allocation problem is solved by studying the nature of the minimization of the energy function in the neural network. Then the resource allocation problem when URLLC and eMBB services coexist is expressed as an optimization problem with chance constraints. The purpose of the optimization problem based on chance constraints is to maximize the data transmission rate of eMBB users. The simulation results show the effectiveness of the dynamic resource allocation method.