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Licensed Unlicensed Requires Authentication Published by De Gruyter Oldenbourg August 25, 2021

Current state and future challenges in deep space communication: A survey

  • Andreas Könsgen

    Andreas Könsgen received the Diploma degree in Electrical Engineering at Aachen University of Technology, Germany. After some years of industry work he joined University of Bremen where he obtained the doctoral degree in 2009. He works as a Postdoctoral Research Associate at the Sustainable Communication Networks Working Group at University of Bremen with a focus on networking in special environments such as space or underwater and the application of machine learning in network management.

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    and Anna Förster

    Anna Förster obtained her MSc degree in computer science and aerospace engineering from the Free University of Berlin, Germany, in 2004 and her PhD degree in self-organising sensor networks from the University of Lugano, Switzerland, in 2009. She also worked as a junior business consultant for McKinsey&Company, Berlin, between 2004 and 2005. From 2010 to 2014, she was a researcher and lecturer at SUPSI (the University of Applied Sciences of Southern Switzerland). Since 2015, she leads the Sustainable Communication Networks group at the University of Bremen. Her main research interests lie in self-organising and autonomous sensor and opportunistic networks. She applies various artificial intelligence techniques, like machine learning and swarm intelligence, to various aspects of wireless communication protocols and applications. Furthermore, she is active in designing and developing simulation models and benchmarks for wireless networks. Her research group is especially focused on how to achieve better sustainability of communication networks on one side and how to boost everyday sustainability by innovative applications.

Abstract

Communication has been crucial since the beginning of space exploration. Control information and telemetry data of the space vessels as well as voice and video communication of the crew with the ground control have to be maintained. This paper is a survey for readers new to the topic to get an overview about the current status of space communication in national agencies and standardization bodies and ongoing research in the field. It also gives a short overview about the historical development and finally summarizes the authors’ thoughts about future challenges in space communication.

ACM CCS:

About the authors

Andreas Könsgen

Andreas Könsgen received the Diploma degree in Electrical Engineering at Aachen University of Technology, Germany. After some years of industry work he joined University of Bremen where he obtained the doctoral degree in 2009. He works as a Postdoctoral Research Associate at the Sustainable Communication Networks Working Group at University of Bremen with a focus on networking in special environments such as space or underwater and the application of machine learning in network management.

Anna Förster

Anna Förster obtained her MSc degree in computer science and aerospace engineering from the Free University of Berlin, Germany, in 2004 and her PhD degree in self-organising sensor networks from the University of Lugano, Switzerland, in 2009. She also worked as a junior business consultant for McKinsey&Company, Berlin, between 2004 and 2005. From 2010 to 2014, she was a researcher and lecturer at SUPSI (the University of Applied Sciences of Southern Switzerland). Since 2015, she leads the Sustainable Communication Networks group at the University of Bremen. Her main research interests lie in self-organising and autonomous sensor and opportunistic networks. She applies various artificial intelligence techniques, like machine learning and swarm intelligence, to various aspects of wireless communication protocols and applications. Furthermore, she is active in designing and developing simulation models and benchmarks for wireless networks. Her research group is especially focused on how to achieve better sustainability of communication networks on one side and how to boost everyday sustainability by innovative applications.

References

1. O. B. Akan, H. Fang, and I. F. Akyildiz. Performance of TCP protocols in deep space communication networks. IEEE Communications Letters, 6(11):478–480, 2002.10.1109/LCOMM.2002.805549Search in Google Scholar

2. I. F. Akyildiz, Ö. B. Akan, C. Chen, J. Fang, and W. Su. InterPlaNetary Internet: state-of-the-art and research challenges. Computer Networks, 43(2):75–112, 2003.10.1016/S1389-1286(03)00345-1Search in Google Scholar

3. G. Araniti et al. Contact graph routing in DTN space networks: overview, enhancements and performance. IEEE Communications Magazine, 53(3):38–46, 2015.10.1109/MCOM.2015.7060480Search in Google Scholar

4. J. M. Perdigues Armengol, B. Furch, C. Jacinto de Matos, O. Minster, L. Cacciapuoti, M. Pfennigbauer, M. Aspelmeyer, T. Jennewein, R. Ursin, T. Schmitt-Manderbach, et al. Quantum communications at esa: towards a space experiment on the iss. Acta Astronautica, 63(1-4):165–178, 2008.10.1016/j.actaastro.2007.12.039Search in Google Scholar

5. I. Arruego et al. OWLS: a ten-year history in optical wireless links for intra-satellite communications. IEEE Journal on Selected Areas in Communications, 27(9):1599–1611, 2009.10.1109/JSAC.2009.091210Search in Google Scholar

6. D. G. Aviv. Laser Space Communications. Artech House Publishers, 2006.Search in Google Scholar

7. A. Babuscia, K.-M. Cheung, D. Divsalar, and C. Lee. Development of cooperative communication techniques for a network of small satellites and CubeSats in deep space: the SOLARA/SARA test case. Acta Astronautica, 115:349–355, 2015.10.1016/j.actaastro.2015.06.001Search in Google Scholar

8. W. Baek and D. C. Lee. Analysis of CGSDS file delivery protocol: immediate NAK mode. IEEE Transactions on Aerospace and Electronic Systems, 41(2):503–524, 2005.10.1109/TAES.2005.1468744Search in Google Scholar

9. D. S. Bagri, J. I. Statman, and M. S. Gatti. Proposed Array-Based Deep Space Network for NASA. Proceedings of the IEEE, 95(10):1916–1922, 2007.10.1109/JPROC.2007.905046Search in Google Scholar

10. L. A. Belov, S. M. Smolskiy, and V. Neofidovich Kochemasov. Handbook of RF, microwave, and millimeter-wave components. Artech house, 2012.Search in Google Scholar

11. S. Bilen, D. Mortensen, R. Reinhart, and A. Wyglinski. Where no radio has gone before: Cognitive radios can keep deep-space missions connected to earth even when faced with Alien environments. IEEE Spectrum, 57(8):44–50, 2020.10.1109/MSPEC.2020.9150556Search in Google Scholar

12. I. Bisio, F. Lavagetto, and M. Marchese. Application Layer Joint Coding for Image Transmission over Deep Space Channels. In 2011 IEEE Global Telecommunications Conference – GLOBECOM 2011, pages 1–6, 2011.10.1109/GLOCOM.2011.6133825Search in Google Scholar

13. K. Böhmer, M. Gregory, F. Heine, H. Kämpfner, R. Lange, M. Lutzer, and R. Meyer. Laser communication terminals for the European data relay system. In Free-Space Laser Communication Technologies XXIV, volume 8246, page 82460D. International Society for Optics and Photonics, 2012.10.1117/12.906798Search in Google Scholar

14. A. Budianu, A. Meijerink, and M. J. Bentum. Swarm-to-Earth communication in OLFAR. Acta astronautica, 107:14–19, 2015.10.1016/j.actaastro.2014.10.041Search in Google Scholar

15. L. Buinhas, G. G. Peytaví, and R. Förstner. Navigation and communication network for the Valles Marineris Explorer (VaMEx). Acta Astronautica, 160:280–296, 2019.10.1016/j.actaastro.2019.04.032Search in Google Scholar

16. O. Y. Bursalioglu, G. Caire, and D. Divsalar. Joint Source-Channel Coding for Deep-Space Image Transmission using Rateless Codes. IEEE Transactions on Communications, 61(8):3448–3461, 2013.10.1109/ITA.2011.5743568Search in Google Scholar

17. Overview of Space Communications Protocols – Informational Report CCSDS 130.0-G-3, 2014.Search in Google Scholar

18. CCSDS Licklider Transmission Protocol Specification – Recommended Standard CCSDS 734.1-B-1, 2015.Search in Google Scholar

19. Mission Operation Services Concept, 2010.Search in Google Scholar

20. Overview of the Unified Space Data Link Protocol – Informatinal Report CCSDS 700.1-G-1, 2020.Search in Google Scholar

21. R. J. Cesarone, D. S. Abraham, and L. J. Deutsch. Prospects for a Next-Generation Deep-Space Network. Proceedings of the IEEE, 95(10):1902–1915, 2007.10.1109/JPROC.2007.905043Search in Google Scholar

22. V. W. S. Chan. Optical space communications. IEEE Journal of Selected Topics in Quantum Electronics, 6(6):959–975, 2000.10.1109/2944.902144Search in Google Scholar

23. Z. Cheng and S. Chen. Routing algorithm based on non-cooperative differential games in deep space networks. Wireless Personal Communications, 85(3):1123–1137, 2015.10.1007/s11277-015-2830-3Search in Google Scholar

24. N. L. Clarke, B. V. Ghita, and S. M. Furnell. Delay-tolerant networks (DTNs) for deep-space communications. In Advances in Delay-Tolerant Networks (DTNs), pages 49–60. Elsevier, 2015.10.1533/9780857098467.1.48Search in Google Scholar

25. B. J. Clement and M. D. Johnston. The deep space network scheduling problem. In Innovative Applications Conference on Artificial Intelligence (IAAI), 2005.Search in Google Scholar

26. D. M. Cornwell. NASA’s optical communications program for 2017 and beyond. In 2017 IEEE International Conference on Space Optical Systems and Applications (ICSOS), pages 10–14. IEEE, 2017.10.1109/ICSOS.2017.8357203Search in Google Scholar

27. F. Davarian. Uplink Arrays for the Deep Space Network. Proceedings of the IEEE, 95(10):1923–1930, 2007.10.1109/JPROC.2007.905047Search in Google Scholar

28. F. Davarian, D. Abraham, M. Angert, J. Baker, J. Gao, N. Lay, and J. Stuart. Improving Small Satellite Communications and Tracking in Deep Space – A Review of the Existing Systems and Technologies With Recommendations for Improvement. Part III: The Deep Space Network. IEEE Aerospace and Electronic Systems Magazine, 35(8):4–13, August 2020.10.1109/MAES.2020.2992211Search in Google Scholar

29. F. Davarian, S. Asmar, M. Angert, J. Baker, J. Gao, R. Hodges, D. Israel, D. Landau, N. Lay, L. Torgerson, and W. Walsh. Improving Small Satellite Communications and Tracking in Deep Space – A Review of the Existing Systems and Technologies With Recommendations for Improvement. Part II: Small Satellite Navigation, Proximity Links, and Communications Link Science. IEEE Aerospace and Electronic Systems Magazine, 35(7):26–40, July 2020.10.1109/MAES.2020.2975260Search in Google Scholar

30. F. Davarian, A. Babuscia, J. Baker, R. Hodges, D. Landau, C. Lau, N. Lay, M. Angert, and V. Kuroda. Improving Small Satellite Communications in Deep Space – A Review of the Existing Systems and Technologies With Recommendations for Improvement. Part I: Direct to Earth Links and SmallSat Telecommunications Equipment. IEEE Aerospace and Electronic Systems Magazine, 35(7):8–25, July 2020.10.1109/MAES.2020.2980918Search in Google Scholar

31. T. de Cola, E. Paolini, G. Liva, and G. P. Calzolari. Reliability Options for Data Communications in the Future Deep-Space Missions. Proceedings of the IEEE, 99(11):2056–2074, 2011.10.1109/JPROC.2011.2159571Search in Google Scholar

32. O. De Jonckère and J. A. Fraire. A shortest-path tree approach for routing in space networks. China Communications, 17(7):52–66, 2020.10.23919/J.CC.2020.07.005Search in Google Scholar

33. L. J. Deutsch, S. A. Townes, P. E. Liebrecht, P. A. Vrotsos, and D. M. Cornwell. Deep space network: The next 50 years. In 14th International Conference on Space Operations, page 2373, 2016.10.2514/6.2016-2373Search in Google Scholar

34. S. Dhara, C. Goel, R. Datta, and S. Ghose. CGR-SPI: A New Enhanced Contact Graph Routing for Multi-source Data Communication in Deep Space Network. In 2019 IEEE International Conference on Space Mission Challenges for Information Technology (SMC-IT), pages 33–40, 2019.10.1109/SMC-IT.2019.00009Search in Google Scholar

35. R. Dudukovich, A. Hylton, and C. Papachristou. A machine learning concept for DTN routing. In 2017 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), pages 110–115, 2017.10.1109/WiSEE.2017.8124902Search in Google Scholar

36. R. C. Durst, G. J. Miller, and E. J. Travis. TCP extensions for space communications. Wireless Networks, 3(5):389–403, 1997.10.1145/236387.236398Search in Google Scholar

37. S. El Alaoui and B. Ramamurthy. Routing optimization for DTN-based space networks using a temporal graph model. In 2016 IEEE International Conference on Communications (ICC), pages 1–6, 2016.10.1109/ICC.2016.7510733Search in Google Scholar

38. B. Elbert. The satellite communication ground segment and earth station handbook. Artech House, 2014.Search in Google Scholar

39. P. V. R. Ferreira, R. Paffenroth, A. M. Wyglinski, T. M. Hackett, S. G. Bilén, R. C. Reinhart, and D. J. Mortensen. Multiobjective Reinforcement Learning for Cognitive Satellite Communications Using Deep Neural Network Ensembles. IEEE Journal on Selected Areas in Communications, 36(5):1030–1041, 2018.10.1109/JSAC.2018.2832820Search in Google Scholar

40. J. A. Fraire, M. Feldmann, F. Walter, E. Fantino, and S. C. Burleigh. Networking in Interstellar Dimensions: Communicating With TRAPPIST-1. IEEE Transactions on Aerospace and Electronic Systems, 55(4):1656–1665, 2019.10.1109/TAES.2018.2874149Search in Google Scholar

41. M. Gong, Z. Wang, Z. Zhu, and L. Jiao. A Similarity-Based Multiobjective Evolutionary Algorithm for Deployment Optimization of Near Space Communication System. IEEE Transactions on Evolutionary Computation, 21(6):878–897, 2017.10.1109/TEVC.2017.2690446Search in Google Scholar

42. T. Göttfert, M. T. Wörle, C. Lenzen, and S. Prüfer. Operating and evolving the edrs payload and link management system. In 2018 SpaceOps Conference, page 2688, 2018.10.2514/6.2018-2688Search in Google Scholar

43. L. A. Greda, A. Winterstein, A. Dreher, S. A. Figur, B. Schonlinner, V. Ziegler, M. Haubold, and M. W. Brueck. A satellite multiple-beam antenna for high-rate data relays. Progress In Electromagnetics Research, 149:133–145, 2014.10.2528/PIER14072502Search in Google Scholar

44. A. Guillaume, S. Lee, Y. Wang, H. Zheng, R. Hovden, S. Chau, Y. Tung, and R. J. Terrile. Deep Space Network Scheduling Using Evolutionary Computational Methods. In 2007 IEEE Aerospace Conference, pages 1–6, 2007.10.1109/AERO.2007.352900Search in Google Scholar

45. T. M. Hackett, S. G. Bilén, P. V. R. Ferreira, A. M. Wyglinski, R. C. Reinhart, and D. J. Mortensen. Implementation and On-Orbit Testing Results of a Space Communications Cognitive Engine. IEEE Transactions on Cognitive Communications and Networking, 4(4):825–842, 2018.10.1109/TCCN.2018.2878202Search in Google Scholar

46. C. B. Haskins and C. C. DeBoy. Deep-Space Transceivers – An Innovative Approach to Spacecraft Communications. Proceedings of the IEEE, 95(10):2009–2018, 2007.10.1109/JPROC.2007.905090Search in Google Scholar

47. H. Hemmati. Deep space optical communications. John Wiley & Sons, 2006.10.1002/0470042419Search in Google Scholar

48. H. Hemmati, A. Biswas, and I. B. Djordjevic. Deep-Space Optical Communications: Future Perspectives and Applications. Proceedings of the IEEE, 99(11):2011–2039, 2011.10.1109/JPROC.2011.2160609Search in Google Scholar

49. W. A. Imbriale, S. S. Gao, and L. Boccia. Space antenna handbook. John Wiley & Sons, 2012.10.1002/9781119945147Search in Google Scholar

50. Factors affecting the choice of frequency bands for space research service deep-space (space-to-Earth) telecommunication links, 2009.Search in Google Scholar

51. C. Jiang, X. Wang, J. Wang, H. Chen, and Y. Ren. Security in space information networks. IEEE Communications Magazine, 53(8):82–88, 2015.10.1109/MCOM.2015.7180512Search in Google Scholar

52. H. Kashif, M. N. Khan, and A. Altalbe. Hybrid Optical-Radio Transmission System Link Quality: Link Budget Analysis. IEEE Access, 8:65983–65992, 2020.10.1109/ACCESS.2020.2981661Search in Google Scholar

53. H. Kaushal and G. Kaddoum. Optical Communication in Space: Challenges and Mitigation Techniques. IEEE Communications Surveys Tutorials, 19(1):57–96, 2017.10.1109/COMST.2016.2603518Search in Google Scholar

54. G. Kazz and E. Greenberg. The utilization profiles of the ccsds unified space link protocol (uslp). In 2018 SpaceOps Conference, page 2428, 2018.10.2514/6.2018-2428Search in Google Scholar

55. P. I. Klein and R. Soifer. Intersatellite communication using the AMSAT-OSCAR 6 and AMSAT-OSCAR 7 radio amateur satellites. Proceedings of the IEEE, 65(10), 1975.10.1109/PROC.1975.9988Search in Google Scholar

56. G. Krieger, A. Moreira, H. Fiedler, I. Hajnsek, M. Werner, M. Younis, and M. Zink. Tandem-x: A satellite formation for high-resolution sar interferometry. IEEE Transactions on Geoscience and Remote Sensing, 45(11):3317–3341, 2007.10.1049/cp:20070484Search in Google Scholar

57. R. LaBelle and D. Rochblatt. Ka-band high-rate telemetry system upgrade for the NASA deep space network. Acta Astronautica, 70:58–68, 2012.10.1016/j.actaastro.2011.07.023Search in Google Scholar

58. D. C. Lee and W. Baek. Expected file-delivery time of deferred NAK ARQ in CCSDS file-delivery protocol. IEEE Transactions on Communications, 52(8):1408–1416, 2004.10.1109/TCOMM.2004.833017Search in Google Scholar

59. H. Li and H. Luo. An erasure coding-based loss-tolerant file delivery protocol for deep spacecommunications. Acta Astronautica, 68(7-8):1409–1416, 2011.10.1016/j.actaastro.2010.09.015Search in Google Scholar

60. S. Li, D. T. H. Kao, and A. S. Avestimehr. Rover-to-Orbiter Communication in Mars: Taking Advantage of the Varying Topology. IEEE Transactions on Communications, 64(2):572–585, 2016.10.1109/ISIT.2015.7282531Search in Google Scholar

61. P. G. Madoery, J. A. Fraire, F. D. Raverta, J. M. Finochietto, and S. C. Burleigh. Managing routing scalability in space dtns. In 2018 6th IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), pages 177–182, 2018.10.1109/WiSEE.2018.8637324Search in Google Scholar

62. M. Marszalek, O. Kurz, M. Drentschew, M. Schmidt, and K. Schilling. Intersatellite links and relative navigation: Pre-conditions for formation flights with pico-and nanosatellites. IFAC Proceedings Volumes, 44(1):3027–3032, 2011.10.3182/20110828-6-IT-1002.02369Search in Google Scholar

63. R. Martin and M. Warhaut. ESA’s 35-meter Deep Space Antennas at New Norcia/Western Australia and Cebreros/Spain. In 2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No. 04TH8720), volume 2, pages 1124–1133 2004.10.1109/AERO.2004.1367713Search in Google Scholar

64. F. Mrowka, R. Metzig, B. Schättler, R. Kahle, C. Lenzen, and R. Reissig. Automation challenges of the Mission Planning System and the Ground Station Network and their Interoperability within the combined TerraSAR-X/TanDEM-X Ground Segment. In European Ground System Architecture Workshop (ESAW 2015), Darmstadt, Germany, 2015.Search in Google Scholar

65. D. J. Mudgway. Uplink-Downlink: A History of the Deep Space Network, 1957–1997. CreateSpace Independent Publishing Platform, 2013.Search in Google Scholar

66. J. Mukherjee and B. Ramamurthy. Communication Technologies and Architectures for Space Network and Interplanetary Internet. IEEE Communications Surveys & Tutorials, 15(2):881–897, 2013.10.1109/SURV.2012.062612.00134Search in Google Scholar

67. G. Papastergiou, I. Psaras, and V. Tsaoussidis. Deep-space transport protocol: a novel transport scheme for space DTNs. Computer Communications, 32(16):1757–1767, 2009.10.1016/j.comcom.2009.02.012Search in Google Scholar

68. S. Parkes and P. Armbruster. SpaceWire: Spacecraft onboard data-handling network. Acta Astronautica, 66(1-2):88–95, 2010.10.1016/j.actaastro.2009.05.016Search in Google Scholar

69. S. Prüfer, T. Göttfert, and M. T. Wörle. Automated planning versus manual operations in the context of the link management system for edrs-spacedatahighway. In 11th International Workshop on Planning and Scheduling for Space (IWPSS 2019), pages 122–129, 2019.Search in Google Scholar

70. M. Ramadas, S. Burleigh, and S. Farrell. Licklider Transmission Protocol – Specification, 2008. IETF RFC 5326.10.17487/rfc5326Search in Google Scholar

71. D. H. Rogstad, A. Mileant, and T. T. Pham. Antenna Arraying Techniques in the Deep Space Network. Technical report, Jet Propulsion Laboratory, California Institute of Technology, 2003.10.1002/047172131XSearch in Google Scholar

72. A. Sabbagh, R. Wang, S. C. Burleigh, and K. Zhao. Analytical Framework for Effect of Link Disruption on Bundle Protocol in Deep-Space Communications. IEEE Journal on Selected Areas in Communications, 36(5):1086–1096, 2018.10.1109/JSAC.2018.2832832Search in Google Scholar

73. A. Sabbagh, R. Wang, K. Zhao, and D. Bian. Bundle Protocol Over Highly Asymmetric Deep-Space Channels. IEEE Transactions on Wireless Communications, 16(4):2478–2489, 2017.10.1109/TWC.2017.2665539Search in Google Scholar

74. C. V. Samaras and V. Tsaoussidis. Design of delay-tolerant transport protocol (DTTP) and its evaluation for Mars. Acta Astronautica, 67(7-8):863–880, 2010.10.1016/j.actaastro.2010.05.025Search in Google Scholar

75. Y. Satoh, Y. Miyamoto, Y. Takano, S. Yamakawa, and H. Kohata. Current status of Japanese optical data relay system (JDRS). In 2017 IEEE International Conference on Space Optical Systems and Applications (ICSOS), pages 240–242, 2017.10.1109/ICSOS.2017.8357398Search in Google Scholar

76. C. Schmidt and C. Fuchs. The OSIRIS program at DLR. In Free-Space Laser Communication and Atmospheric Propagation XXX, volume 10524, page 105240R. International Society for Optics and Photonics, 2018.10.1117/12.2290726Search in Google Scholar

77. K. Scott and S. Burleigh. Bundle Protocol Specification, 2007. IETF RFC 5050.10.17487/rfc5050Search in Google Scholar

78. M. A. Seibert, D. S. S. Lim, M. J. Miller, D. Santiago-Materese, and M. T. Downs. Developing Future Deep-Space Telecommunication Architectures: A Historical Look at the Benefits of Analog Research on the Development of Solar System Internetworking for Future Human Spaceflight. Astrobiology, 19(3):462–477, 2019.10.1089/ast.2018.1915Search in Google Scholar PubMed PubMed Central

79. R. S. Smith and F. Y. Hadaegh. Distributed estimation, communication and control for deep space formations. IET Control Theory Applications, 1(2):445–451, 2007.10.1049/iet-cta:20050460Search in Google Scholar

80. K. Suzuki, S. Inagawa, J. Lippincott, and A. Cecil. JAXA-NASA interoperability demonstration for application of DTN under simulated rain attenuation. In SpaceOps 2014 Conference, page 1920, 2014.10.2514/6.2014-1920Search in Google Scholar

81. J. Taylor, M. M. Fernández, A. I. Bolea-Alamañac, and K.-M. Cheung. Deep Space. Wiley Online Library, 2016.10.1002/9781119169079Search in Google Scholar

82. E. Vassallo, R. Martin, R. Madde, M. Lanucara, P. Besso, P. Droll, G. Galtie, and J. De Vicente. The European Space Agency’s Deep-Space Antennas. Proceedings of the IEEE, 95(11):2111–2131, 2007.10.1109/JPROC.2007.905189Search in Google Scholar

83. Y. I. Vodonos, B. L. Conroy, D. L. Losh, and A. Silva. Advances in Ground Transmitters for the NASA Deep Space Network. Proceedings of the IEEE, 95(10):1947–1957, 2007.10.1109/JPROC.2007.905050Search in Google Scholar

84. R. E. Wallis and S. Cheng. Phased-array antenna system for the messenger deep space mission. In 2001 IEEE Aerospace Conference Proceedings (Cat. No. 01TH8542), volume 1, pages 1–41. IEEE, 2001.Search in Google Scholar

85. R. Wang, H. Liang, H. Zhao, and G. Fang. Deep space multi-file delivery protocol based on LT codes. Journal of Systems Engineering and Electronics, 27(3):524–530, 2016.10.1109/JSEE.2016.00055Search in Google Scholar

86. R. Wang, M. Qiu, K. Zhao, and Y. Qian. Optimal RTO Timer for Best Transmission Efficiency of DTN Protocol in Deep-Space Vehicle Communications. IEEE Transactions on Vehicular Technology, 66(3):2536–2550, 2017.10.1109/TVT.2016.2572079Search in Google Scholar

87. R. Wang, A. Sabbagh, S. C. Burleigh, K. Zhao, and Y. Qian. Proactive Retransmission in Delay-/Disruption-Tolerant Networking for Reliable Deep-Space Vehicle Communications. IEEE Transactions on Vehicular Technology, 67(10):9983–9994, 2018.10.1109/TVT.2018.2864292Search in Google Scholar

88. R. Wang, B. L. Shrestha, X. Wu, T. Wang, A. Ayyagari, E. Tade, S. Horan, and J. Hou. Unreliable CCSDS File Delivery Protocol (CFDP) over Cislunar Communication Links. IEEE Transactions on Aerospace and Electronic Systems, 46(1):147–169, 2010.10.1109/TAES.2010.5417153Search in Google Scholar

89. W. J. Weber, R. J. Cesarone, D. S. Abraham, P. E. Doms, R. J. Doyle, C. D. Edwards, A. J. Hooke, J. R. Lesh, and R. B. Miller. Transforming the deep space network into the Interplanetary Network. Acta Astronautica, 58(8):411–421, 2006.10.2514/6.IAC-03-U.4.01Search in Google Scholar

90. D. P. Yadav, T. K. Rajendran, V. V. Srinivasan, U. M. Parikh, R. K. Chaudhary, and J. V. Narsimham. Array Antenna for Indian Deep Space Network. In 2018 IEEE Indian Conference on Antennas and Propogation (InCAP), pages 1–4, 2018.10.1109/INCAP.2018.8770960Search in Google Scholar

91. S. Yamakawa, Y. Chishiki, Y. Sasaki, Y. Miyamoto, and H. Kohata. JAXA’s optical data relay satellite programme. In 2015 IEEE International Conference on Space Optical Systems and Applications (ICSOS), pages 1–3, 2015.10.1109/ICSOS.2015.7425056Search in Google Scholar

92. G. Yang, R. Wang, A. Sabbagh, K. Zhao, and X. Zhang. Modeling Optimal Retransmission Timeout Interval for Bundle Protocol. IEEE Transactions on Aerospace and Electronic Systems, 54(5):2493–2508, 2018.10.1109/TAES.2018.2820398Search in Google Scholar

93. Q. Yu, S. C. Burleigh, R. Wang, and K. Zhao. Performance modeling of licklider transmission protocol (LTP) in deep-space communication. IEEE Transactions on Aerospace and Electronic Systems, 51(3):1609–1620, 2015.10.1109/TAES.2014.130763Search in Google Scholar

94. Q. Yu, X. Sun, R. Wang, Q. Zhang, J. Hu, and Z. Wei. The effect of DTN custody transfer in deep-space communications. IEEE Wireless Communications, 20(5):169–176, 2013.10.1109/MWC.2013.6664488Search in Google Scholar

95. L. Zhang and X. Zhou. Joint cross-layer optimised routing and dynamic power allocation in deep space information networks under predictable contacts. IET Communications, 7(5):417–429, 2013.10.1049/iet-com.2011.0419Search in Google Scholar

96. T. Zhang, J. Li, H. Li, S. Zhang, P. Wang, and H. Shen. Application of Time-Varying Graph Theory over the Space Information Networks. IEEE Network, 34(2):179–185, 2020.10.1109/MNET.001.1900245Search in Google Scholar

97. K. Zhao, R. Wang, S. C. Burleigh, M. Qiu, A. Sabbagh, and J. Hu. Modeling memory-variation dynamics for the Licklider transmission protocol in deep-space communications. IEEE Transactions on Aerospace and Electronic Systems, 51(4):2510–2524, 2015.10.1109/TAES.2015.140907Search in Google Scholar

98. K. Zhao, R. Wang, S. C. Burleigh, A. Sabbagh, W. Wu, and M. De Sanctis. Performance of bundle protocol for deep-space communications. IEEE Transactions on Aerospace and Electronic Systems, 52(5):2347–2361, 2016.10.1109/TAES.2016.150462Search in Google Scholar

99. K. Zhao and Q. Zhang. Network Protocol Architectures for Future Deep-Space Internetworking. Science China Information Sciences, 61(4):040303, 2018.10.1007/s11432-018-9386-5Search in Google Scholar

Received: 2021-01-07
Revised: 2021-07-16
Accepted: 2021-08-02
Published Online: 2021-08-25
Published in Print: 2021-09-27

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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