QoE-Aware Intelligent Satellite Constellation Design in Satellite Internet of Things

Dai, Cui‐Qin; Zhang, Mingjian; Li, Chong; Zhao, Jian; Chen, Qianbin

doi:10.1109/jiot.2020.3030263

Cited by 51 publications

(18 citation statements)

References 30 publications

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“…The true fault decides the position of the satellite. Based on the above parameters, the coordinates (x,y,z) of each satellite in the geocentric inertial system can be calculated by Equation (1) [16], so as to simulate the orbital state of the constellation at any time under ideal conditions.…”

Section: Orbit Modelmentioning

confidence: 99%

Modeling of Satellite Constellation in Modelica and a PHM System Framework Driven by Model Data Hybrid

2022

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The new generation of low-earth-orbit (LEO) satellite constellation systems has the characteristics of low delay, strong signal and global coverage, and it is an important direction for the development of next-generation communication technology. A major disadvantage is that the constellation system is huge, often composed of hundreds or thousands of satellites, which puts forward high requirements for the design and health management of the constellation system, and the existing telemetry data monitoring system cannot meet the actual needs. CPS is a multidimensional complex system that integrates computation, communication and control (3C). Through the deep integration and cooperation of 3C, the real-time monitoring and dynamic control of large-scale engineering systems are realized, which is completely suitable for the operation and maintenance requirements of the satellite constellation system. This paper firstly establishes the entire satellite constellation system model, which is integrated from the satellite multidomain system, the constellation orbit environment system and the communication link system. Then, according to the technical concept of cyber-physical systems (CPS), an implementation framework of a prognostics and health (PHM) system driven by a model–data hybrid for satellite constellation systems is proposed. The framework is based on model simulation data and telemetry data and combines virtual and real data fusion, fault diagnosis, simulation prediction and other technologies to generate enhanced data to drive the effective operation of the PHM system. Finally, a verification case is designed to prove that the satellite constellation health management system implemented under this framework has a positive effect on the reliable operation and maintenance of the satellite constellation system.

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Section: Orbit Modelmentioning

confidence: 99%

Modeling of Satellite Constellation in Modelica and a PHM System Framework Driven by Model Data Hybrid

2022

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“…Moreover, its launching cost is comparatively lower than GEO and MEO, making it more likely to achieve global coverage. However, the increasing demand for different services would require many satellites in different orbits, which might be challenging using limited spectrum resources [3]. As a result, it can seriously affect the future developments in coexisted ground-space communication networks.…”

Section: Introductionmentioning

confidence: 99%

Rate Splitting Multiple Access for Cognitive Radio GEO-LEO Co-Existing Satellite Networks

Khan¹,

Ali²,

Lagunas³

et al. 2022

Preprint

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Low Earth orbit (LEO) satellite communication has drawn particular attention recently due to its high data rate services and low round-trip latency. It is low-cost to launch and can provide global coverage. However, the spectrum scarcity might be one of the critical challenges in the growth of LEO satellites, impacting severe restrictions on the development of ground-space integrated networks. To address this issue, we propose rate splitting multiple access (RSMA) for cognitive radio (CR) enabled nongeostationary orbit (GEO)-LEO coexisting satellite network. In particular, this work aims to maximize the system's sum rate by simultaneously optimizing the power allocation and subcarrier beam assignment of LEO satellite communication while restricting the interference temperature to GEO satellite users. The problem of sum rate maximization is formulated as non-convex and a Global optimal solution is challenging to obtain. Therefore, we first employ the successive convex approximation technique to reduce the complexity and make the problem more tractable. Then for the power allocation, we exploit Karush-Kuhn-Tucker (KKT) condition and adopt an efficient algorithm based on the greedy approach for subcarrier beam assignment. We also propose two suboptimal schemes with fixed power allocation and random subcarrier beam assignment as the benchmark. Results demonstrate the benefits of the proposed scheme compared to the benchmark schemes.

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“…Moreover, its manufacturing and launching costs are comparatively lower than GEO and MEO satellite systems, making it more likely to achieve global coverage. However, the increasing demand for different services would require many LEO satellites in orbit, which can be challenging using limited spectrum resources [4]. In such a spectrum scarcity situation, satellites in different orbits would need to reuse the same spectrum and cover the same geographical area on the earth, creating the issue of mutual interference.…”

Section: Introductionmentioning

confidence: 99%

Rate Splitting Multiple Access for Next Generation Cognitive Radio Enabled LEO Satellite Networks

Khan¹,

Ali²,

Lagunas³

et al. 2022

Preprint

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Low Earth Orbit (LEO) satellite communication (SatCom) has drawn particular attention recently due to its high data rate services and low round-trip latency. It has low launching and manufacturing costs than Medium Earth Orbit (MEO) and Geostationary Earth Orbit (GEO) satellites. Moreover, LEO SatCom has the potential to provide global coverage with a highspeed data rate and low transmission latency. However, the spectrum scarcity might be one of the challenges in the growth of LEO satellites, impacting severe restrictions on developing groundspace integrated networks. To address this issue, cognitive radio and rate splitting multiple access (RSMA) are the two emerging technologies for high spectral efficiency and massive connectivity. This paper proposes a cognitive radio enabled LEO SatCom using RSMA radio access technique with the coexistence of GEO SatCom network. In particular, this work aims to maximize the sum rate of LEO SatCom by simultaneously optimizing the power budget over different beams, RSMA power allocation for users over each beam, and subcarrier user assignment while restricting the interference temperature to GEO SatCom. The problem of sum rate maximization is formulated as non-convex, where the global optimal solution is challenging to obtain. Thus, an efficient solution can be obtained in three steps: first we employ a successive convex approximation technique to reduce the complexity and make the problem more tractable. Second, for any given resource block user assignment, we adopt Karush-Kuhn-Tucker (KKT) conditions to calculate the transmit power over different beams and RSMA power allocation of users over each beam. Third, using the allocated power, we design an efficient algorithm based on the greedy approach for resource block user assignment. For comparison, we propose two suboptimal schemes with fixed power allocation over different beams and random resource block user assignment as the benchmark. Numerical results provided in this work are obtained based on the Monte Carlo simulations, which demonstrate the benefits of the proposed optimization scheme compared to the benchmark schemes.

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QoE-Aware Intelligent Satellite Constellation Design in Satellite Internet of Things

Cited by 51 publications

References 30 publications

Modeling of Satellite Constellation in Modelica and a PHM System Framework Driven by Model Data Hybrid

Modeling of Satellite Constellation in Modelica and a PHM System Framework Driven by Model Data Hybrid

Rate Splitting Multiple Access for Cognitive Radio GEO-LEO Co-Existing Satellite Networks

Rate Splitting Multiple Access for Next Generation Cognitive Radio Enabled LEO Satellite Networks

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