Exploring the "Internet from space" with Hypatia

Kassing, Simon; Bhattacherjee, Debopam; Águas, André Baptista; Saethre, Jens Eirik; Singla, Ankit

doi:10.1145/3419394.3423635

Cited by 104 publications

(33 citation statements)

References 19 publications

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“…Satellite-based Internet access has traditionally used satellites in geo-stationary orbits at altitudes in excess of 35,000km, leading to significant transmission delays that are only feasible where no alternative connection technologies are available [13]. In recent years, a new class of satellite communication networks has emerged as a result of technological advancements, with private aerospace companies such as SpaceX, Telesat, OneWeb, or Amazon Kuiper planning or Figure 1: The proposed Kuiper constellation comprises three shells: 1,156 satellites at 630km/51.9°(orange), 784 at 590km/33°(red), 1,296 at 610km/42°( green) [12]. already deploying networks of thousands of satellites in LEO, below altitudes of 2,000km [2][3][4][5].…”

Section: Large Leo Satellite Networkmentioning

confidence: 99%

“…Figure 1 shows the proposed Amazon Kuiper network. The first shell of this network comprises 1,156 satellites at an altitude of 630km and an inclination of 51.9°, with 34 satellites in each of the 34 orbital planes [12]. As a result of the low altitude, satellites have low orbital periods, e.g., 97 minutes at 630km, at a speed of 27,150km/h.…”

Section: Large Leo Satellite Networkmentioning

confidence: 99%

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QoS-Aware Resource Placement for LEO Satellite Edge Computing

Pfandzelter¹,

Bermbach²

2022

Preprint

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With the advent of large LEO satellite communication networks to provide global broadband Internet access, interest in providing edge computing resources within LEO networks has emerged. The LEO Edge promises low-latency, high-bandwidth access to compute and storage resources for a global base of clients and IoT devices regardless of their geographical location.Current proposals assume compute resources or service replicas at every LEO satellite, which requires high upfront investments and can lead to over-provisioning. To implement and use the LEO Edge efficiently, methods for server and service placement are required that help select an optimal subset of satellites as server or service replica locations. In this paper, we show how the existing research on resource placement on a 2D torus can be applied to this problem by leveraging the unique topology of LEO satellite networks. Further, we extend the existing discrete resource placement methods to allow placement with QoS constraints. In simulation of proposed LEO satellite communication networks, we show how QoS depends on orbital parameters and that our proposed method can take these effects into account where the existing approach cannot.

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Section: Large Leo Satellite Networkmentioning

confidence: 99%

Section: Large Leo Satellite Networkmentioning

confidence: 99%

QoS-Aware Resource Placement for LEO Satellite Edge Computing

Pfandzelter¹,

Bermbach²

2022

Preprint

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“…To evaluate the overall design of our proposed system, we built our own simulation for evaluating network performance of AAN. The simulation was built on network simulator 3 (NS3)-based [40] LEO satellite network simulation framework [41], which does not include UAVs in the simulation environment. To build our own simulation, we implemented functionalities related to UAVs and connections between satellites and UAVs with inter satellite links (ISLs).…”

Section: Evaluate System With Network Simulatormentioning

confidence: 99%

Federated Reinforcement Learning Based AANs with LEO Satellites and UAVs

Yoo

Lee

2021

Sensors

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Supported by the advances in rocket technology, companies like SpaceX and Amazon competitively have entered the satellite Internet business. These companies said that they could provide Internet service sufficiently to users using their communication resources. However, the Internet service might not be provided in densely populated areas, as the satellites coverage is broad but its resource capacity is limited. To offload the traffic of the densely populated area, we present an adaptable aerial access network (AAN), composed of low-Earth orbit (LEO) satellites and federated reinforcement learning (FRL)-enabled unmanned aerial vehicles (UAVs). Using the proposed system, UAVs could operate with relatively low computation resources than centralized coverage management systems. Furthermore, by utilizing FRL, the system could continuously learn from various environments and perform better with the longer operation times. Based on our proposed design, we implemented FRL, constructed the UAV-aided AAN simulator, and evaluated the proposed system. Base on the evaluation result, we validated that the FRL enabled UAV-aided AAN could operate efficiently in densely populated areas where the satellites cannot provide sufficient Internet services, which improves network performances. In the evaluations, our proposed AAN system provided about 3.25 times more communication resources and had 5.1% lower latency than the satellite-only AAN.

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“…Ground Station Deployment. The current centralized ground stations incur high deployment costs [4], large delay jitter [3], and weak scalability. In general, the cost of deploying a ground station is around a million dollars, primarily due to the current demand for professional equipment and maintenance [4].…”

Section: B Computingmentioning

confidence: 99%

“…This new type of infrastructure brings inherent challenges. Recent work has highlighted the challenges the dynamic connectivity could create at various fields such as network (e.g., topology [1], routing [2], congestion control [3]), earth observation [4], in-orbit edge computing [5]. While it is useful to explore these problems using simulation tools, ultimately, we would like to conduct experiment evaluations on the real satellite constellation.…”

Section: Introductionmentioning

confidence: 99%

Tiansuan Constellation: An Open Research Platform

Wang

et al. 2021

Preprint

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Satellite network is the first step of interstellar voyages. It can provide global Internet connectivity everywhere on earth, where most areas cannot access the Internet by the terrestrial infrastructure due to the geographic accessibility and high cost. The space industry experiences a rise in large low-earth-orbit satellite constellations to achieve universal connectivity. The research community is also urgent to do some leading research to bridge the connectivity divide. Researchers now conduct their work by simulation, which is far from enough. However, experiments on real satellites are blocked by the high threshold of space technology, such as deployment cost and unknown risks. To solve the above dilemma, we are eager to contribute to the universal connectivity and build an open research platform, Tiansuan constellation to support experiments on real satellite networks. We discuss the potential research topics that would benefit from Tiansuan constellation. We provide two case studies that have already deployed in two experimental satellites of Tiansuan constellation.

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Exploring the "Internet from space" with Hypatia

Cited by 104 publications

References 19 publications

QoS-Aware Resource Placement for LEO Satellite Edge Computing

QoS-Aware Resource Placement for LEO Satellite Edge Computing

Federated Reinforcement Learning Based AANs with LEO Satellites and UAVs

Tiansuan Constellation: An Open Research Platform

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