A Stochastic Geometry Approach for Analyzing Uplink Performance for IoT-over-Satellite

Chan, Chiu Chun; Homssi, Bassel Al; Al‐Hourani, Akram

doi:10.1109/icc45855.2022.9838778

Cited by 14 publications

(6 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[15] presents a LEO uplink performance analysis by modeling the transmitters as a PPP on the earth's surface. A framework for modeling the uplink performance for a massive internet-of-things-over-satellite network was presented in [16]. The optimal beamwidth and altitude for maximum coverage were studied in [17].…”

Section: B Related Workmentioning

confidence: 99%

SIR Meta Distribution Analysis of a Narrow-Beam LEO Uplink

Angervuori,

Haenggi,

Wichman

2024

Preprint

View full text Add to dashboard Cite

We analyze a narrow-beam low earth orbit (NB LEO) terrestrial-satellite uplink from the perspective of the typical satellite base station. The user equipment (UEs) are located on the earth's surface according to a homogeneous Poisson point process (PPP). We present a simplified planar system model and focus on the point process of the approximate antenna gains of each UE in the satellite base station's antenna pattern and analyze the signal-to-interference ratio (SIR), the SIR meta distribution (MD), the signal-to-interference-plus-noise ratio (SINR) and the throughput. We present simple analytical results, some in closed form, for the performance metrics. We validate the approximate system model by comparing the results to the Monte Carlo simulated performance metrics using the more accurate system model incorporating the earth's curvature. The paper includes insightful results that help to understand the quantitative and qualitative nature of the NB LEO satellite uplink.

show abstract

Section: B Related Workmentioning

confidence: 99%

SIR Meta Distribution Analysis of a Narrow-Beam LEO Uplink

Angervuori,

Haenggi,

Wichman

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The uplink performance of LEO IoT networks has been analyzed using stochastic geometry in [21] and simulation in [22]. In these research works co-channel interference is concluded to heavily limit the performance.…”

Section: Related Workmentioning

confidence: 99%

“…where G is the satellite antenna gain, l(ϕ) is the free-spacepath-loss and η(ϕ) is the excess path-loss. The satellite antenna gain G is obtained by using the ideal antenna gain expression as follows [21],…”

Section: Channel Modelmentioning

confidence: 99%

“…One prominent technology that is positioned for IoT-oversatellite is chirp-base modulation. The performance of LoRa (as the implementation of chirp-based modulation) under interference conditions has been investigated in multiple studies, such as in [21], [25]- [27]. While traditional detection of LoRa shows some robustness to interference, the network cannot be directly scaled to practical satellite scenarios given typical traditional non-coherent detector receivers.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Spiking Neural Networks for Detecting Satellite-Based Internet-of-Things Signals

Dakic¹,

Homssi²,

Walia³

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

<p>The obtained results demonstrate a significantly enhanced detection performance under heavy interference conditions when employing spiking-based and deep learning detection techniques, as opposed to traditional baseline matched-filter methods. Although spiking-based detection approaches exhibit error rates comparable to those of deep learning techniques, they consume considerably less power – several orders of magnitude lower, in fact. Owing to their power efficiency, spiking-based detection networks emerge as the optimal choice for signal detection in resource-limited systems, such as low-Earth orbit satellites.</p>

show abstract

“…Additionally, we explore three different LEO satellite constellations, (i) random, (ii) Walker-Star, and (iii) Walker-Delta. Note, we explore the performance on the random constellation as a baseline because it has been shown to be analytically tractable from coverage handover problems [19]- [21].…”

Section: B Cutoff Distance -Based Topologymentioning

confidence: 99%

On Delay Performance in Mega Satellite Networks with Inter-Satellite Links

Dakic¹,

Chan²,

Homssi³

et al. 2023

Preprint

View full text Add to dashboard Cite

<p>Utilizing Low Earth Orbit (LEO) satellite networks equipped with Inter-Satellite Links (ISL) is envisioned to provide lower delay compared to traditional optical networks. However, LEO satellites have constrained energy resources as they rely on solar energy in their operations. Thus requiring special consideration when designing network topologies that do not only have low-delay link paths but also low-power consumption. In this paper, we study different satellite constellation types and network typologies and propose a novel power-efficient topology. As such, we compare three common satellite architectures, namely; (i) the theoretical random constellation, the widely deployed (ii) Walker-Delta, and (iii) Walker-Star constellations. The comparison is performed based on both the power efficiency and end-to-end delay. The results show that the proposed algorithm outperforms long-haul ISL paths in terms of energy efficiency with only a slight hit to delay performance relative to the conventional ISL topology.</p>

show abstract

A Stochastic Geometry Approach for Analyzing Uplink Performance for IoT-over-Satellite

Cited by 14 publications

References 21 publications

SIR Meta Distribution Analysis of a Narrow-Beam LEO Uplink

SIR Meta Distribution Analysis of a Narrow-Beam LEO Uplink

Spiking Neural Networks for Detecting Satellite-Based Internet-of-Things Signals

On Delay Performance in Mega Satellite Networks with Inter-Satellite Links

Contact Info

Product

Resources

About