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Multiobjective Collaborative Beamforming for a Distributed Satellite Cluster via NSGA-II

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Ad Hoc Networks (ADHOCNETS 2019)

Abstract

In this paper, a distributed satellite cooperative beamforming algorithm is proposed for the satellite cluster formed by multiple distributed formation flying satellites in the space information network. The average pattern function of distributed formation satellites is derived based on random antenna array theory. On this basis, a multiobjective optimization is formulated to enhance the transmit signal in the desired direction while suppress the interference in the undesired direction via nondominated sorting genetic algorithm II (NSGA-II). The simulation results show that the proposed method extends the distributed and cooperative beamforming technology to the research field of space information network and enhances the electromagnetic wave transceiver capability of resource-constrained satellite systems.

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References

  1. Boero, L., Bruschi, R., Davoli, F.: Satellite networking integration in the 5G ecosystem: research trends and open challenges. IEEE Netw. 32(5), 9–15 (2018)

    Article  Google Scholar 

  2. Yu, Q.Y., Meng, W.X., Yang, M.C.: Virtual multi-beamforming for distributed satellite clusters in space information networks. IEEE Wirel. Commun. 23(1), 95–101 (2016)

    Article  Google Scholar 

  3. Jayaprakasam, S., Rahim, S.K.A., Leow, C.Y.: Distributed and collaborative beamforming in wireless sensor networks: classifications, trends and research directions. IEEE Commun. Surv. Tutorials. 19(4), 2092–2116 (2017)

    Article  Google Scholar 

  4. Ochiai, H., Mitran, P., Poor, H.V.: Collaborative beamforming for distributed wireless ad hoc sensor networks. IEEE Trans. Signal Process. 53(11), 4110–4124 (2005)

    Article  MathSciNet  Google Scholar 

  5. Ahmed, M.F.A., Vorobyov, S.A.: Collaborative beamforming for wireless sensor networks with gaussian distributed sensor nodes. IEEE Trans. Wirel. Commun. 8(2), 638–643 (2009)

    Article  Google Scholar 

  6. Huang, J., Wang, P., Wan, Q.: Collaborative beamforming for wireless sensor networks with arbitrary distributed sensors. IEEE Commun. Lett. 16(7), 1118–1120 (2012)

    Article  Google Scholar 

  7. Buchanan, K., Huff, G.H.: A stochastic mathematical framework for the analysis of spherically-bound random arrays. IEEE Trans. Antennas Propag. 62(6), 3002–3011 (2014)

    Article  Google Scholar 

  8. Deb, K., Pratap, A., Agarwal, S.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 1–197 (2002)

    Article  Google Scholar 

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Achnowledgement

The work presented in this paper is partially supported by the National Science Foundation of China (No. 91738201, No. 61801445, No. 61971440). However, any opinion, finding, and conclusions or recommendations expressed in this material; are those of the author and do not necessarily reflect the views of the National Science Foundation.

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Correspondence to Tao Hong .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Xi, B., Hong, T., Zhang, G. (2019). Multiobjective Collaborative Beamforming for a Distributed Satellite Cluster via NSGA-II. In: Zheng, J., Li, C., Chong, P., Meng, W., Yan, F. (eds) Ad Hoc Networks. ADHOCNETS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 306. Springer, Cham. https://doi.org/10.1007/978-3-030-37262-0_21

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  • DOI: https://doi.org/10.1007/978-3-030-37262-0_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37261-3

  • Online ISBN: 978-3-030-37262-0

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