Zero-jitter differentiated traffic scheduling algorithm in 5G fronthaul hybrid network

Abstract

The emergence of services such as high-definition video, smart home, and virtual reality has led to stringent requirements for delay jitter in 5G fronthaul network. In this paper, a novel differentiated traffic scheduling algorithm is proposed in 5G fronthaul hybrid network. It can not only eliminate the delay jitter, but also simultaneously transmit CPRI traffic and eCPRI traffic for the first time. To CPRI traffic, zero-jitter of delay is achieved by innovatively mapping the scheduling timeslots of the flow’s packets into an arithmetic progression. Furthermore, the optimal flow scheduling with minimizing the delay and minimizing the number of conflicting time slots is realized by combining differential evolution (DE) with non-dominated sorting genetic algorithm II (NSGA-II). To eCPRI traffic, zero-jitter flow scheduling is performed by innovatively proposing a fuzzy time slot method. In this method, by implementing different caching policies for marked and not marked flows, zero-jitter is achieved. By controlling the upper limit of packet sending time, the delay performance is guaranteed. Finally, by the simulation, the effectiveness of the proposed algorithm is demonstrated. The simulation results indicate that the optimal flow scheduling based on this algorithm has good performance in jitter, delay and bandwidth utilization.