Service customized space-air-ground integrated network for immersive media: Architecture, key technologies, and prospects

Wei, Linhui; Shuai, Jiacheng; Liu, Yu; Wang, Yumei; Zhang, Lin

doi:10.23919/jcc.2022.01.001

Cited by 13 publications

(4 citation statements)

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“…Extreme Learning Machine(ELM) is a fast algorithm for training single-hidden layer neural networks [6] . The characteristic of this algorithm is that in the process of determining the network parameters, the hidden layer node parameters (internal weights and bias values) are randomly selected without adjustment.…”

Section: The Fast Learning Machinementioning

confidence: 99%

Extreme learning machine with incremental hidden layers

Zheng,

2024

Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024)

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The number of hidden nodes have strong influence on the accuracy of ELM (Extreme Learning Machine). More hidden nodes are needed as the increase of the size of training data set. Either ELM or Multi-hidden layer neural network make must be set the number of hidden layer in advance and then increase the number of nodes in every layer to achieve a smaller RMSE. Thus the computational complexity of the involved matrix becomes bigger and the learning efficiency will become worser. In this paper extreme learning machine with incremental hidden layers is proposed, in which the weights of hidden nodes can be assigned randomly to the current hidden layer nodes (small number, don't optimize and small complexity) and then the corresponding RMSE is obtained like ELM. MHL-ELM increases a hidden layer and repeats the method of "layer-wise pre-training" unless the RMSE is smaller than what we want.

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Section: The Fast Learning Machinementioning

confidence: 99%

Extreme learning machine with incremental hidden layers

Zheng,

2024

Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024)

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“…Space-air-ground networks recently got attention in multiple domains and are studied for diverse research subjects. While a number of works envision a fully-integrated space-air-ground architecture for terrestrial use cases [27], [28], [29], internet service providers already investigate the potential of emergent satellite services to complement their terrestrial networks and submarine cable infrastructure [30], [31], [32], [33]. Hence, the majority of the studies toward space-air-ground networks focus on the operation or management aspects of these integrated networks.…”

Section: B Literature Reviewmentioning

confidence: 99%

Multipath Transport Analysis Over Cellular and LEO Access for Aerial Vehicles

Baltaci,

Chavali,

Kosek

et al. 2023

IEEE Access

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Recent industrial advancements introduce novel safety-critical applications for commercial networks. Remote Piloting (RP) Aerial Vehicles (AVs) is an example application, where reliable wireless connectivity is key to ensure safe operations in the sky. Jointly utilizing cellular and satellite networks can enable robust Multipath (MP) communications; however, their usage must be orchestrated efficiently toward application requirements. In this work, we investigate the MP communications performance of cellular and Low-Earth-Orbit (LEO) satellite links with respect to the Quality-of-Service (QoS) requirements of RP operations. Using MP-Transmission Control Protocol (MPTCP) and MP-Datagram Congestion Control Protocol (MP-DCCP), we evaluate various transport layer configurations to efficiently orchestrate both links and to support the application requirements. For this purpose, we develop an end-to-end MP emulation testbed that can provide means to realistically emulate cellular and LEO links with MPTCP and MP-DCCP. We run bi-directional RP traffic over our testbed and measure the MP performance using different schedulers and Congestion Control (CC) algorithms. The results show that the flow size largely influences the individual path utilization due to high LEO link-layer losses. Moreover, excessive retransmissions occur on the MPTCP layer due to Head-of-Line (HoL) blocking from asymmetric link conditions. Using MP-DCCP without retransmissions helps avoid late arrivals and can meet the 99.999% communication reliability demand.

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“…The work in [13] provided a detailed description of the architecture of the space-airground integrated network (SAGIN) and immersive media (IM) services. The literature on the SAGIN architecture was explicitly introduced, and its architecture, advantages, and critical indices were reviewed.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Routings in Satellite Networks: An Overview

Cao

Xiong

et al. 2022

Sensors

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The Satellite network is an important part of the global network. However, the complex architecture, changeable constellation topology, and frequent inter-satellite connection switching problems bring great challenges to the routing designs of satellite networks, making the study of the routing methods in satellite networks a research hotspot. Therefore, this paper investigates the latest existing routing works to tackle the dynamic routing problems in satellite networks. The architecture and development of satellite networks are presented and analyzed first. Afterward, dynamic routing problems in satellite networks are analyzed in detail based on the time-varying network topology. According to the latest works, the advanced satellite network routing schemes, including single-layer and multi-layer dynamic routing are introduced and analyzed. In addition, the merits, shortcomings, and applications of these schemes are analyzed and summarized. Finally, potential technologies and future directions are discussed.

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Service customized space-air-ground integrated network for immersive media: Architecture, key technologies, and prospects

Cited by 13 publications

References 0 publications

Extreme learning machine with incremental hidden layers

Extreme learning machine with incremental hidden layers

Multipath Transport Analysis Over Cellular and LEO Access for Aerial Vehicles

Dynamic Routings in Satellite Networks: An Overview

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