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 schedu...
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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.
Cyclic queuing and forwarding (CQF), proposed in IEEE 802.1 Qch, is a practical mechanism for guaranteeing deterministic transmission for time-sensitive networks (TSNs). However, only the queue model and the workflow ...
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ISBN:
(纸本)9798350333398
Cyclic queuing and forwarding (CQF), proposed in IEEE 802.1 Qch, is a practical mechanism for guaranteeing deterministic transmission for time-sensitive networks (TSNs). However, only the queue model and the workflow for terrestrial networks are defined in IEEE 802.1 Qch. To make TSNs practical for future 6G applications, a general scheduling model that maps time-sensitive flows (TSFs) to the underlying resources of low-Earth-orbit satellite-terrestrial integration networks (LEO-STINs) is urgently needed. The networking conditions of STINs are quite different from those of terrestrial networks due to the large-scale spatial coverage of STINs. Hence, in order to determine the feasibility of deploying TSNs in LEO-STINs, we evaluate the CQF performance for LEO-STINs in this paper. Then, a software-defined-network-based LEO-STIN architecture for the entire lifecycle of TSFs is designed. To address the drawbacks of the LEO-STIN scenario, we propose a cyclic priority and forwarding (CPF) mechanism to improve the performance of time-sensitive services. CPF removes the bandwidth limitation of CQF for TSFs, which makes TSNs practical for LEO-STINs. We perform a simulation of a Walker constellation to test the proposed algorithm and existing TSN techniques using OMNET++. The results show that the proposed algorithm reduces the packet loss ratio by an order of magnitude and the service time-out ratio by 70% compared to existing mechanisms.
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