Interference management for spectral coexistence in a heterogeneous satellite network

Hajipour, Pedram; Shahzadi, Ali; Ghazi‐Maghrebi, Saeed

doi:10.1002/sat.1321

Cited by 3 publications

(2 citation statements)

References 38 publications

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“…While sharing frequency bands is necessary to maximize spectrum utilization and facilitate the seamless integration of satellite and terrestrial services, this can result in co‐frequency interference towards satellites. This interference can lead to service interruption to the users that are out of reach of all terrestrial networks, causing severe economic impacts 1–3 . Consequently, bands are allocated to terrestrial services only after detailed sharing studies, which are conducted at the national regulatory level or the different working parties of the International Telecommunication Union (ITU) 4…”

Section: Introductionmentioning

confidence: 99%

Base station location generation algorithm for satellite‐terrestrial co‐existence studies

Singh Bhadouria,

Chakraborty,

Buch

et al. 2023

Satell Commun Network

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SummaryThe enormous growth of mobile broadband traffic is a catalyst for expanding terrestrial communication systems and their integration with satellite communication systems. This results in sharing frequencies allocated to satellite communication systems with terrestrial systems. As this can lead to interference between the incumbent and the upcoming service, coexistence studies are conducted. In the case of sharing satellite uplink frequencies with terrestrial communication systems, interference from base stations (BSs) is dominant. While there are methods to estimate the number of BSs that may be deployed, it is unclear where the BSs will be located. The BS locations play a pivotal role in interference calculation, as the values of link budget parameters are highly dependent on the longitude and latitude of interfering transmitters. This article presents an intelligent method which balances network capacity and coverage for simulating base stations (BSs) in coexistence studies. A realistic BS distribution is generated using weighted K‐means clustering (WKMC) algorithm and incorporating population density along with Haversine distance. The paper provides a case study of co‐frequency, co‐coverage interference in the satellite uplink in the C‐band to demonstrate the impact of BS distribution on the results of coexistence studies. This paper will find applications in upcoming frequency sharing and coexistence studies and the design of integrated satellite‐terrestrial communication networks.

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Section: Introductionmentioning

confidence: 99%

Base station location generation algorithm for satellite‐terrestrial co‐existence studies

Singh Bhadouria,

Chakraborty,

Buch

et al. 2023

Satell Commun Network

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“…Hajipour P uses an autoregressive fault monitoring model and a short-term memory recurrent neural network for satellite fault prediction. Both models can guarantee the monitoring accuracy of satellite faults under the condition of limited actual data [1]. Akyildiz IF believes that the completion of the mission can only be guaranteed when the satellite is in a stable state and safe operation, including the operation control subsystem.…”

Section: Introductionmentioning

confidence: 99%

Satellite Cluster Fault Diagnosis and Detection Analysis Based on Neural Network

2021

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Due to the frequent occurrence of spacecraft failures and accidents, it will cause personal injury and economic loss, and will have a huge impact on the aerospace industry. Therefore, it is necessary to enrich the research on satellite constellation fault diagnosis and detection technology. In order to solve the shortcomings of existing research on fault diagnosis and detection of satellite swarms, this paper discusses the neural network fault diagnosis technology, satellite swarm fault diagnosis method and the functional equation of satellite swarm execution fault types. The fault samples and parameter settings of the group fault diagnosis detection application are briefly introduced. In addition, the work design and calculation process of satellite swarm fault diagnosis and detection relying on neural network are discussed. Finally, the application of neural network in satellite swarm fault diagnosis and detection is subjected to experimental comparison and analysis of the correct rate of fault diagnosis. The experimental data show that the algorithm proposed in this paper and Although the correct rate of fault diagnosis of the other two types shows a downward trend after the failure rate of 10%, the correct rate of the neural network algorithm proposed in this paper is significantly better than the other two algorithms, and the algorithm in this paper is in 50% to 200% of the satellites. In the group failure rate, the correct rate of diagnosis is stable at about 96%, while the correct rate of the other two algorithms is gradually lower than 90%. Therefore, it is verified that the satellite group fault diagnosis and detection relying on neural network has high use value.

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A Novel Dynamic Spectrum-Sharing Method for GEO and LEO Satellite Networks

2020

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In this article, we investigate the spectrum-sharing for a space information network comprised of a geostationary orbit (GEO) satellite and a pair of low earth orbit (LEO) satellites, where one spectrum-sensing LEO (SLEO) is used to sense the status of spectrum occupancy of the GEO, and one data-transmission LEO (DLEO) satellite is allowed to access the shared spectrum of the GEO with the aid of the SLEO. In order to improve the throughput of the DLEO satellite, a spectrum sharing framework has been conceived relying on two stages. Differing from the conventional spectrum-sharing scheme, the data-transmission LEO satellite has the ability to access the shared spectrum both in overlay mode and in underlay mode. In overlay mode, the DLEO can perform transmission at any required transmit power. By contrast, in underlay mode, a spectrum-sensing and power allocation aided spectrum-sharing (SPA-SS) scheme is proposed to guarantee that the maximal amount of interference is imposed on the GEO caused by the DLEO. To be specific, in the first stage, the SLEO is invoked for performing spectrum-sensing, where the time intervals of spectrum-sensing have been specifically optimized to alleviate the interference received at the GEO in the second stage. Moreover, an adaptive power allocation is designed to maximal the throughput of the DLEO in the second stage, whilst maintaining the maximal interference imposed on the GEO is lower than the tolerable interference temperature of the GEO. Numerical results show that the proposed SPA-SS scheme outperforms the traditional spectrum-sharing scheme in terms of not only the average throughput, but also of the time-utilization ratio. INDEX TERMSCognitive satellite network, spectrum coexistence, spectrum sensing, Hidden Markov model, sensing time interval. YUNFENG WANG received the B.E. degree in communication engineering from Shandong Normal University, Shandong, China, in 2009. He is currently pursuing the Ph.D. degree in satellite communication with the Satellite and Mobile Communication Section, Nanjing University of Posts and Telecommunications.His research interests include spectrum sensing, cooperative communications, spectrum interference, and game theory.XIAOJIN DING (Member, IEEE) received the Ph.D. degree in information and communication engineering from the National Mobile Communi-

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Interference management for spectral coexistence in a heterogeneous satellite network

Cited by 3 publications

References 38 publications

Base station location generation algorithm for satellite‐terrestrial co‐existence studies

Base station location generation algorithm for satellite‐terrestrial co‐existence studies

Satellite Cluster Fault Diagnosis and Detection Analysis Based on Neural Network

A Novel Dynamic Spectrum-Sharing Method for GEO and LEO Satellite Networks

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