Performance Analysis of Space-Air-Ground Integrated Network (SAGIN) Over an Arbitrarily Correlated Multivariate FSO Channel
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The space-air-ground integrated network (SAGIN) system interconnect several networks in order to achieve a large network topology that is capable of efficient sharing of global information and resources. Nevertheless, the associated communication facilities between the mobile platforms and air-to-ground links are limited to a low-bit rate radio-based technology. Besides, the huge services to be supported require a high capacity link in order to handle multiple information in parallel and in real-time. The free-space optical (FSO) communication system has inherent features to support the network demands. However, support for drifting in the SAGIN system could be challenging for the FSO line-of-sight links because of the requirement for alignment between the receiver and transmitter modules. Also, the FSO system performance is hindered by the atmospheric turbulence-induced fading. In addition, the unmanned aerial vehicles in the SAGIN system can operate in swarm mode to achieve system diversity in order to alleviate turbulence-induced fading. However, this can lead to channel correlation that can impair the system performance. In this paper, we consider the effect of arbitrarily correlated FSO channel on the system performance. To achieve this, we employ exponential model for modeling the correlations between the apertures. Furthermore, to account for the spatial correlation in the air-to-ground as well as air-to-air communications in the SAGIN system, we consider a multivariate Gamma–Gamma (\(\varGamma \varGamma\)) distribution. The results of the study sufficiently quantify the effects of the atmospheric turbulence-induced fading as well as correlation on the system.
KeywordsAtmospheric turbulence Correlation Free-space optical (FSO) communication Gamma–Gamma distribution High altitude platforms (HAPs) Positioning Spatial diversity Tracking Unmanned aerial vehicles (UAV)
This work was supported in part by the Fundaçõo para a Ciência e a Tecnologia under the Ph.D. Grant PD/BD/52590/2014, in part by the European Regional Development Fund (FEDER), through the Regional Operational Programme of Centre (CENTRO 2020) of the Portugal 2020 framework [Project HeatIT with Nr. 017942 (CENTRO-01-0247-FEDER-017942)] and by the FCT/MEC through the national funds under the project, COMPRESS - PTDC/EEI-TEL/7163/2014, in part by the Integrated Programmes “SOCA” (CENTRO-01-0145-FEDER-000010) and “ORCIP” (POCI-01-0145-FEDER- 022141) co-funded by Centro 2020 Program, Portugal 2020, European Union, through the European Regional Development Fund, and in part by the FEDER, through the Competitiveness and Internationalization Operational Programme (COMPETE 2020) of the Portugal 2020 framework , Project, RETIOT, POCI-01-0145-FEDER-016432.
- 1.Chlestil, C., Leitgeb, E., Schmitt, N. P., Muhammad, S. S., Zettl, K., & Rehm, W. (2006). Reliable optical wireless links within UAV swarms. In 2006 international conference on transparent optical networks (Vol. 4, pp. 39–42). https://doi.org/10.1109/ICTON.2006.248491.
- 2.Wu, Z., Kumar, H., & Davari, A. (2005). Performance evaluation of OFDM transmission in UAV wireless communication. In Proceedings of the thirty-seventh southeastern symposium on system theory, 2005. SSST ’05 (pp. 6–10). https://doi.org/10.1109/SSST.2005.1460867.
- 3.Heng, K. H., Liu, N., He, Y., Zhong, W. D., & Cheng, T. H. (2008). Adaptive beam divergence for inter-UAV free space optical communications. In 2008 IEEE PhotonicsGlobal@Singapore (pp. 1–4). https://doi.org/10.1109/IPGC.2008.4781473.
- 4.Zhou, L., Last, M., Milanovic, V., Kahn, J. M., & Pister, K. S. J. (2003). Two-axis scanning mirror for free-space optical communication between UAVs. In 2003 IEEE/LEOS international conference on optical MEMS (Cat. No.03EX682) (pp. 157–158). https://doi.org/10.1109/OMEMS.2003.1233514.
- 5.Alimi, I., Shahpari, A., Sousa, A., Ferreira, R., Monteiro, P., & Teixeira, A. (2017). Challenges and opportunities of optical wireless communication technologies. In Pinho, P. (ed.), Optical communication technology, InTech, Rijeka, chap 02. https://doi.org/10.5772/intechopen.69113.
- 6.Alimi, I. A., Monteiro. P. P., & Teixeira, A. L. (2017). Analysis of multiuser mixed RF/FSO relay networks for performance improvements in cloud computing-based radio access networks (CC-RANs). Optics Communications 402(Supplement C), 653–661. https://doi.org/10.1016/j.optcom.2017.06.097. http://www.sciencedirect.com/science/article/pii/S0030401817305734.
- 10.Alimi, I., Shahpari, A., Ribeiro, V., Sousa, A., Monteiro, P., & Teixeira, A. (2017). Channel characterization and empirical model for ergodic capacity of free-space optical communication link. Optics Communications, 390, 123–129. https://doi.org/10.1016/j.optcom.2017.01.001. http://www.sciencedirect.com/science/article/pii/S0030401817300019.
- 12.Leitgeb, E., Zettl, K., Muhammad, S. S., Schmitt, N., & Rehm, W. (2007). Investigation in free space optical communication links between unmanned aerial vehicles (UAVs). In 2007 9th international conference on transparent optical networks (Vol. 3, pp. 152–155). https://doi.org/10.1109/ICTON.2007.4296268.
- 13.Muhammad, S. S., Plank, T., Leitgeb, E., Friedl, A., Zettl, K., Javornik, T., & Schmitt, N. (2008). Challenges in establishing free space optical communications between flying vehicles. In 2008 6th international symposium on communication systems, networks and digital signal processing (pp. 82–86). https://doi.org/10.1109/CSNDSP.2008.4610721.
- 14.Qi, W., Hou, W., Song, Q., Guo, L., & Jamalipour, A. (2016). Topology control and routing based on adaptive RF/FSO switching in space-air integrated networks. In 2016 IEEE global communications conference (GLOBECOM) (pp. 1–6). https://doi.org/10.1109/GLOCOM.2016.7842334.
- 16.Liu, H., Zhang, J., & Cheng, L. L. (2010). Application examples of the network fixed point theory for space-air-ground integrated communication network. In International congress on ultra modern telecommunications and control systems (pp. 989–993). https://doi.org/10.1109/ICUMT.2010.5676493.
- 21.Vishnevskii, V. M., Semenova, O. V., & Sharov, S. Y. (2013). Modeling and analysis of a hybrid communication channel based on free-space optical and radio-frequency technologies. Automation and Remote Control, 74(3), 521–528. https://doi.org/10.1134/S0005117913030144.MathSciNetCrossRefMATHGoogle Scholar
- 23.Alimi, I. A., Teixeira, A. L., & Monteiro, P. P. (2017). Towards an efficient C-RAN optical fronthaul for the future networks: A tutorial on technologies, requirements, challenges, and solutions. IEEE Communications Surveys Tutorials, 20(1), 708–769. https://doi.org/10.1109/COMST.2017.2773462.CrossRefGoogle Scholar
- 24.Yang, G., Khalighi, M. A., Bourennane, S., & Ghassemlooy, Z. (2012). Approximation to the sum of two correlated Gamma–Gamma variates and its applications in free-space optical communications. IEEE Wireless Communications Letters, 1(6), 621–624. https://doi.org/10.1109/WCL.2012.091312.120469.CrossRefGoogle Scholar
- 25.Aboderin, O., & Alimi, I. A. (2015). Modeling land mobile satellite channel and mitigation of signal fading. American Journal of Mobile Systems, Applications and Services, 1(1), 46–53. http://files.aiscience.org/journal/article/html/70110009.html.
- 26.Yang, G., Khalighi, M. A., Ghassemlooy, Z., & Bourennane, S. (2013). Performance evaluation of correlated-fading space-diversity FSO links. In 2013 2nd international workshop on optical wireless communications (IWOW) (pp. 71–73). https://doi.org/10.1109/IWOW.2013.6777780.
- 27.Zhang, J., Matthaiou, M., Karagiannidis, G. K., & Dai, L. (2016). On the multivariate Gamma–Gamma distribution with arbitrary correlation and applications in wireless communications. IEEE Transactions on Vehicular Technology, 65(5), 3834–3840. https://doi.org/10.1109/TVT.2015.2438192.CrossRefGoogle Scholar
- 28.Alimi, I., Shahpari, A., Ribeiro, V., Kumar, N., Monteiro, P., & Teixeira, A. (2016). Optical wireless communication for future broadband access networks. In 2016 21st European conference on networks and optical communications (NOC) (pp. 124–128). https://doi.org/10.1109/NOC.2016.7506998.
- 34.Ghassemlooy, Z., Popoola, W., & Rajbhandari, S. (2012). Optical wireless communications: System and channel modelling with MATLAB®. New York: Taylor & Francis.Google Scholar