Spatial Resource Management in LEO Satellite

Ivanov, Andrey; Bychkvo, Roman; Tcatcorin, Evgenii

doi:10.1109/tvt.2020.3044972

Cited by 21 publications

(11 citation statements)

References 39 publications

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“…Each satellite potentially illuminates an area of A SAT square-km whose footprint, typically on the order of thousands of square-km (e.g., 25,000 square-km), is defined by a prescribed minimum elevation angle between the user position on Earth and the satellite. State-of-the-art satellites are equipped with multiple antennas and signal processing capabilities to generate many different spot beams each providing coverage to a specific area within the satellite footprint and that typically ranges from hundreds of square-meters to a few square-km [19]. Remarkably, each spot beam can be directed to an arbitrary area within the satellite footprint [32].…”

Section: B Satellite Componentmentioning

confidence: 99%

“…2) Derive initial connectivity matrix C(0) using ( 14). 3) Determine, using L-MMSE (17) or C-MMSE (19), precoding matrix W. 4) Compute power allocation coefficients, p DL mk using ( 21) for L-MMSE or p DL k using (20) for C-MMSE. 5) Determine baseline user rates R CF,(0)…”

Section: Integrated Cf-m-mimo/leo Operationmentioning

confidence: 99%

“…Interestingly, recent advances in antenna array technology allow the radiation of multiple independent beams with each beam providing coverage to much smaller areas (a few square-km, comparable to terrestrial mobile networks cells) within the overall satellite footprint while allowing an increase in spectral efficiency by employing a per-beam full frequency re-use of the available bandwidth [18]. The combination of analog and digital processing allows even the definition of smaller coverage areas (in the order of hundreds of square-meters) by conforming beams whose angular widths are as narrow as 0,4 • [19].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Scalable Cell-Free Massive MIMO Networks With LEO Satellite Support

et al. 2022

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Section: B Satellite Componentmentioning

confidence: 99%

Section: Integrated Cf-m-mimo/leo Operationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Scalable Cell-Free Massive MIMO Networks With LEO Satellite Support

et al. 2022

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“…Multi-beam high throughput satellite (MB-HTS) systems are known to provide ubiquitous high-speed services of universal access to many users in a large coverage area that is inaccessible, insufficient, and expensive places with conventional terrestrial networks [12], [14]- [17]. Unlike mono-beam satellites, the received signal strength can be increased thanks to new antenna architectures that are able to conform narrow beam spots on the Earth, resulting in high beamforming gains and spatially multiplexed communications.…”

Section: Introductionmentioning

confidence: 99%

“…Joint optimization is extraordinarily challenging for practical systems since precoding coefficients are chosen based on the scheduled users' channel state information (CSI), and the scheduled users' performance depends on the precoding design, thus ended up with a very complex procedure. De facto, a system performance close to the optimal can be attained when users with semi-orthogonal channel vectors are selected [17], [24], [25]. By fixing the precoding technique, most of the previous works have focused on the user scheduling designs for a single time slot by estimating the orthogonality between the channel vectors using, for example, the cosine similarity metric [26] or the semi-orthogonality projection [24].…”

Section: Introductionmentioning

confidence: 99%

User Scheduling and Power Allocation for Precoded Multi-Beam High Throughput Satellite Systems with Individual Quality of Service Constraints

Chien¹,

Lagunas²,

Ta³

et al. 2021

Preprint

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For extensive coverage areas, multi-beam high throughput satellite (MB-HTS) communication is a promising technology that plays a crucial role in delivering broadband services to many users with diverse Quality of Service (QoS) requirements. This paper focuses on MB-HTS systems where all beams reuse the same spectrum. In particular, we propose a novel user scheduling and power allocation design capable of providing guarantees in terms of the individual QoS requirements while maximizing the system throughput under a limited power budget. Precoding is employed in the forward link to mitigate mutual interference at the users in multiple-access scenarios over different coherence time intervals. The combinatorial optimization structure from user scheduling requires an extremely high cost to obtain the global optimum even when a reduced number of users fit into a time slot. Therefore, we propose a heuristic algorithm yielding good trade-off between performance and computational complexity, applicable to a static operation framework of geostationary (GEO) satellite networks. Although the power allocation optimization is signomial programming, non-convex on a standard form, the solution can be lower bounded by the global optimum of a geometric program with a hidden convex structure. A local solution to the joint user scheduling and power allocation problem is consequently obtained by a successive optimization approach. Numerical results demonstrate the effectiveness of our algorithms on large-scale systems by providing better QoS satisfaction combined with outstanding overall system throughput.

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Enhancing Satellite Link Security Against Drone Eavesdropping Through Cooperative Communication

Kumar,

Arnon

2024

Satell Commun Network

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Integrated satellite terrestrial networks (ISTNs) are emerging as a promising next‐generation communication technology, for example, B5G and 6G, with low‐earth orbit (LEO) satellites playing a growing role. However, the complex and unique characteristics of ISTNs make them more susceptible to cyberattacks. Recently, the use of drones for public and private services has increased the risk of eavesdropping on LEO satellite links. Such scenario presents an extremely challenging environment due to dynamic nature of LEO satellite and drone along with atmospheric attenuation at sub‐THz frequencies. This study proposes a novel adaptive power‐bandwidth cooperative scheme designed to mitigate the likelihood of eavesdropping attacks on LEO satellite links communicating with a ground station when a drone is within the line of sight. The mathematical algorithm dynamically adapts the resources to maximize the normalized secrecy capacity in this challenging scenario while maintaining a reasonable signal‐to‐noise ratio (SNR) at the legitimate receiver. The adaptive scheme involves strategic cooperation with a nearby terrestrial third party to amplify and forward the satellite signal to the ground station receiver. The simulation results demonstrate the effectiveness of the proposed algorithm, showing significant improvements (> 70%) compared to the non‐adaptive scheme over a wide range of elevation angles.

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Spatial Resource Management in LEO Satellite

Cited by 21 publications

References 39 publications

Scalable Cell-Free Massive MIMO Networks With LEO Satellite Support

Scalable Cell-Free Massive MIMO Networks With LEO Satellite Support

User Scheduling and Power Allocation for Precoded Multi-Beam High Throughput Satellite Systems with Individual Quality of Service Constraints

Enhancing Satellite Link Security Against Drone Eavesdropping Through Cooperative Communication

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