Finite-State Markov Chains Channel Model for CubeSats Communication Uplink

Lopez-Salamanca, Julian J.; Seman, Laio Oriel; Berejuck, Marcelo Daniel; Bezerra, Eduardo Augusto

doi:10.1109/taes.2019.2911769

Cited by 20 publications

(13 citation statements)

References 34 publications

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“…The RF-based satellite fading channel can be well characterized by the Nakagami-m model thanks to its capability of describing different fading scenarios, from line-of-sight (LOS) to non-line-of-sight (NLOS) [27]. Furthermore, it was verified in [28] that using the Nakagami-m model can simplify the analysis while maintaining good accuracy. As a result, the PDF of received SNR in RF fading channels, denoted by γ r , can be expressed as [28, Table III]…”

Section: ) Rf Linkmentioning

confidence: 98%

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TCP Performance Over Satellite-Based Hybrid FSO/RF Vehicular Networks: Modeling and Analysis

Nguyen

et al. 2021

IEEE Access

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Recent years have witnessed a growing interest in Internet access from space assisted by low earth orbit (LEO) satellite networks. In the domain of the last-mile access for the Internet of Vehicles (IoV), hybrid free-space optical (FSO)/radio-frequency (RF) communication has recently attracted worldwide research efforts. While the transmission control protocol (TCP) is the most widely deployed transport protocol on the Internet, its performance in the error-prone environment of LEO satellite-assisted hybrid FSO/RF vehicular networks is not well understood. This paper develops a comprehensive analytical model based on the cross-layer approach for TCP performance, considering the FSO and RF satellite fading channels, modeled by the Gamma-Gamma and Nakagami-m distributions, respectively. The error-control solutions, including the Reed-Solomon (RS) code and Selective repeat automatic repeat request (SR-ARQ), are also employed. Numerical results quantitatively demonstrate the impact of transmission errors at lastmile links and different parameters/settings of error-control solutions on the TCP performance. The paper also supports the selection of proper TCP variants for the considered networks.INDEX TERMS Satellite networks, hybrid FSO/RF last-mile, Internet of vehicles, Transmission control protocols, Error-control solutions.

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Section: ) Rf Linkmentioning

confidence: 98%

“…whereγ r is the average value of γ r , and m represents for different fading scenarios (refer to [28] for more details). Given PDF of γ r , its CDF can be determined as…”

Section: ) Rf Linkmentioning

confidence: 99%

TCP Performance Over Satellite-Based Hybrid FSO/RF Vehicular Networks: Modeling and Analysis

Nguyen

et al. 2021

IEEE Access

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“…Salamanca's Model [76]: A finite-state Markov channel with two sectors was introduced in [76] for LMS channel modeling. This adaptive model depends on the elevation angle of the satellite.…”

Section: A Cubesat-to-ground Communicationsmentioning

confidence: 99%

CubeSat Communications: Recent Advances and Future Challenges

Saeed¹,

Elzanaty²,

Almorad³

et al. 2020

IEEE Commun. Surv. Tutorials

231

142

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Given the increasing number of space-related applications, research in the emerging space industry is becoming more and more attractive. One compelling area of current space research is the design of miniaturized satellites, known as Cube-Sats, which are enticing because of their numerous applications and low design-and-deployment cost. The new paradigm of connected space through CubeSats makes possible a wide range of applications, such as Earth remote sensing, space exploration, and rural connectivity. CubeSats further provide a complementary connectivity solution to the pervasive Internet of Things (IoT) networks, leading to a globally connected cyber-physical system. This paper presents a holistic overview of various aspects of CubeSat missions and provides a thorough review of the topic from both academic and industrial perspectives. We further present recent advances in the area of CubeSat communications, with an emphasis on constellation-and-coverage issues, channel modeling, modulation and coding, and networking. Finally, we identify several future research directions for CubeSat communications, including Internet of space things, low-power long-range networks, and machine learning for CubeSat resource allocation.

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“…Patzold [84], Kourogiorgas [85], Abdi [86], and Saunders [87]) or dynamic (e.g., the ones developed by Fontan [88], Scalise [89], Nikolaidis [90], and Lopez-Salamanca [91]). A2G path loss [72] 2018 Resilience [40] Path loss [73] 2021 Power allocation [70] HAPs 2017…”

Section: Recovery Of Terrestrial Networkmentioning

confidence: 99%

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Matracia¹,

Saeed²,

Kishk³

et al. 2022

Preprint

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The number of disasters has increased over the past decade where these calamities significantly affect the functionality of communication networks. In the context of 6G, airborne and spaceborne networks offer hope in disaster recovery to serve the underserved and to be resilient in calamities. Therefore, this paper surveys the state-of-the-art literature on post-disaster wireless communication networks and provides insights for the future establishment of such networks. In particular, we first give an overview of the works investigating the general procedures and strategies for counteracting any large-scale disasters. Then, we present the possible technological solutions for post-disaster communications, such as the recovery of the terrestrial infrastructure, installing aerial networks, and using spaceborne networks.Afterward, we shed light on the technological aspects of post-disaster networks, primarily the physical and networking issues. We present the literature on channel modeling, coverage and capacity, radio resource management, localization, and energy efficiency in the physical layer and discuss the integrated space-air-ground architectures, routing, delay-tolerant/software-defined networks, and edge computing in the networking layer. This paper also presents interesting simulation results which can provide practical guidelines about the deployment of ad hoc network architectures in emergency scenarios. Finally, we present several promising research directions, namely backhauling, placement optimization of aerial base stations, and the mobility-related aspects that come into play when deploying aerial networks, such as planning their trajectories and the consequent handovers.Maurilio Matracia and Mohamed-Slim Alouini are with the Computer, Electrical, and Mathematical Sciences and Engineering

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Finite-State Markov Chains Channel Model for CubeSats Communication Uplink

Cited by 20 publications

References 34 publications

TCP Performance Over Satellite-Based Hybrid FSO/RF Vehicular Networks: Modeling and Analysis

TCP Performance Over Satellite-Based Hybrid FSO/RF Vehicular Networks: Modeling and Analysis

CubeSat Communications: Recent Advances and Future Challenges

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

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