On the QoS for Satellite IP networks: a Follow-Up

Mătăsaru, Petre-Daniel; Scripcariu, Luminița; Diaconu, Felix

doi:10.1109/isscs.2019.8801788

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…In this sense, one of the main aspects to be taken into account is how to guarantee the QoS of the traffic over SatCom. In general, this issue has been addressed in works such as [40,41], where an overview of different Satellite IP networks architectures is provided, taking into account different levels of the communication protocol stack. More specific to the integration of SatCom with 5G, Reference [42] propose solutions to physical and Medium Access Control (MAC) layer problems, such as: downlink synchronization, random access, and Hybrid Automatic Repeat reQuest (HARQ).…”

Section: G-satellite Integrationmentioning

confidence: 99%

5G for Construction: Use Cases and Solutions

et al. 2021

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The world is currently undergoing a new industrial revolution characterized by the digitization and automation of industry through the use of Information and Communication Technologies (ICTs). The construction sector is one of the largest sectors of the industry. Most of the tasks associated with this sector are carried out at worksites that are defined by their dynamism, decentralization, temporality, and the intervention of a large number of workers, subcontractors, machinery, equipment, and materials. These characteristics make this sector a great challenge for the implementation of ICTs. In this paper, the benefits of the use of the Fifth-Generation (5G) of mobile networks in the construction industry are presented. To that end, first, the digitization and automation needs of the sector are jointly analyzed, establishing different use cases and identifying the requirements of each one. Second, the main characteristics of 5G that address these use cases are identified. Third, a global framework for the application of 5G technology to the construction industry is proposed. Finally, an overview of some directions for future work are provided.

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Section: G-satellite Integrationmentioning

confidence: 99%

5G for Construction: Use Cases and Solutions

et al. 2021

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“…The network traffic has increased tremendously in recent years because of everything connected to the Internet at anytime (IoT) [ 1 ] and the increased use of remote services after the COVID-19 pandemic, which required the satellite network to be integrated with the terrestrial network to fulfill the network demands [ 2 ]. Hence, satellites are used in the communication industry by providing: Service continuity in areas where terrestrial networks are not available Service ubiquity to provide resilient service during terrestrial network failures Scalability to load-balance the traffic demands exceeding the terrestrial network’s capacity [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Delay-Packet-Loss-Optimized Distributed Routing Using Spiking Neural Network in Delay-Tolerant Networking

Velusamy

Lent

2022

Sensors

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Satellite communication is inevitable due to the Internet of Everything and the exponential increase in the usage of smart devices. Satellites have been used in many applications to make human life safe, secure, sophisticated, and more productive. The applications that benefit from satellite communication are Earth observation (EO), military missions, disaster management, and 5G/6G integration, to name a few. These applications rely on the timely and accurate delivery of space data to ground stations. However, the channels between satellites and ground stations suffer attenuation caused by uncertain weather conditions and long delays due to line-of-sight constraints, congestion, and physical distance. Though inter-satellite links (ISLs) and inter-orbital links (IOLs) create multiple paths between satellite nodes, both ISLs and IOLs have the same issues. Some essential applications, such as EO, depend on time-sensitive and error-free data delivery, which needs better throughput connections. It is challenging to route space data to ground stations with better QoS by leveraging the ISLs and IOLs. Routing approaches that use the shortest path to optimize latency may cause packet losses and reduced throughput based on the channel conditions, while routing methods that try to avoid packet losses may end up delivering data with long delays. Existing routing algorithms that use multi-optimization goals tend to use priority-based optimization to optimize either of the metrics. However, critical satellite missions that depend on high-throughput and low-latency data delivery need routing approaches that optimize both metrics concurrently. We used a modified version of Kleinrock’s power metric to reduce delay and packet losses and verified it with experimental evaluations. We used a cognitive space routing approach, which uses a reinforcement-learning-based spiking neural network to implement routing strategies in NASA’s High Rate Delay Tolerant Networking (HDTN) project.

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Adaptive Method for Estimating Traffic Characteristics in Corporate Multi-Service Communication Networks for Transport Companies

2022

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An adaptive method for estimation the traffic characteristics in high-speed corporate multiservice networks based on the methods of preliminary indistinct computer training, functioning in real time mode, is proposed and investigated in this paper. The relevance of the study is due to the fact that many processes of network management in high-speed corporate multiservice communication networks need to be implemented in a mode close to real time. The approach proposed in the paper is based on the concept of conditional nonlinear Pareto-optimal filtering V. C. Pugachev. The essence of this approach consists in the fact that estimation of the traffic parameter is performed in two stages - on the first stage the parameter value prediction is estimated, and on the second stage, when the next parameter observations are received, the parameter values are corrected. In the proposed method and algorithm, predictions of traffic parameter values are made in a small sliding window, and adaptation is implemented based on pseudo-gradient procedures whose parameters are adjusted using the Takagi-Sugeno indistinct logic inference method. The proposed method and algorithm belong to the class of adaptive methods and algorithms with prior learning. The average relative error of the estimated traffic parameters estimation does not exceed 8.2%, which is a sufficient value for the implementation of operational network management tasks.

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On the QoS for Satellite IP networks: a Follow-Up

Cited by 3 publications

References 7 publications

5G for Construction: Use Cases and Solutions

5G for Construction: Use Cases and Solutions

Delay-Packet-Loss-Optimized Distributed Routing Using Spiking Neural Network in Delay-Tolerant Networking

Adaptive Method for Estimating Traffic Characteristics in Corporate Multi-Service Communication Networks for Transport Companies

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