학술논문

CPF: Bridging Time-Sensitive Networks into Large-Scale LEO Satellite Networks
Document Type
Conference
Source
2023 International Wireless Communications and Mobile Computing (IWCMC) Wireless Communications and Mobile Computing (IWCMC), 2023 International. :1-6 Jun, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Wireless communication
Satellites
Processor scheduling
Packet loss
Low earth orbit satellites
Bandwidth
Scheduling
Satellite-terrestrial integration networks
time-sensitive network
traffic scheduling algorithm
cyclic priority and forwarding
industrial Internet of things
Language
ISSN
2376-6506
Abstract
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 (LEOSTINs) 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.