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A mega-constellation of low-altitude earth orbit (LEO) satellites (SATs) are envisaged to provide a global coverage SAT network in beyond fifth-generation (5G) cellular systems.
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Z. Wang, V. Bapst, N. Heess, V. Mnih, R. Munos, K. Kavukcuoglu, and N. de Freitas, “Sample efficient actor-critic with experience replay,” arXiv: 1611.01224 [cs.LG] , 2017
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2018
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Starlink, Accessed: Sep- 2021. [Online]. Available: https://www.starlink.com/
2021
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N. Pachler, I. del Portillo, E. F. Crawley, and B. G. Cameron, “An updated comparison of four low earth orbit satellite constellation systems to provide global broadband,” in Proc. IEEE International Conf. on Commun. Workshops (ICC Wkshps) , 2021, pp. 1–7
2021
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O. Kodheli, E. Lagunas, N. Maturo, S. K. Sharma, B. Shankar, J. F. M. Montoya, J. C. M. Duncan, D. Spano, S. Chatzinotas, S. Kisseleff, J. Querol, L. Lei, T. X. Vu, and G. Goussetis, “Satellite communications in the new space era: A survey and future challenges,” IEEE Commun. Surveys Tuts. , vol. 23, no. 1, pp. 70–109, 2021
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M. Giordani and M. Zorzi, “Non-Terrestrial networks in the 6G era: Challenges and opportunities,” IEEE Network , vol. 35, no. 2, pp. 244–251, 2021
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M. Mozaffari, W. Saad, M. Bennis, Y. Nam, and M. Debbah, “A tutorial on UAVs for wireless networks: Applications, challenges and open problems,” IEEE Commun. Surveys Tuts. , vol. 21, no. 3, pp. 2334–2360, Mar. 2019
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H. Seo, J.-P. Hong, and W. Choi, “Low latency random access for sporadic MTC devices in internet of things,” IEEE Internet of Things J. , vol. 6, no. 3, pp. 5108–5118, 2019
2019
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Y. Zeng, J. Xu, and R. Zhang, “Energy minimization for wireless communication with rotary-wing UAV,” IEEE Trans. Wireless Commun. , vol. 18, no. 4, pp. 2329–2345, Apr. 2019
2019
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N. Saeed, A. Elzanaty, H. Almorad, H. Dahrouj, T. Y. Al-Naffouri, and M.-S. Alouini, “CubeSat communications: Recent advances and future challenges,” IEEE Commun. Surveys Tuts. , vol. 22, no. 3, pp. 1839–1862, 2020
2020
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Federal Communication Commission (FCC). (2020, Jul.) FCC authorizes kuiper satellite constellation. [Online]. Available: https://www.fcc.gov/document/fcc-authorizes-kuiper-satellite-constellation
2020
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E. Yaacoub and M. Alouini, “A key 6G challenge and Opportunity—Connecting the base of the pyramid: A survey on rural connectivity,” Proceedings of the IEEE , vol. 108, no. 4, pp. 533–582, Apr. 2020
2020
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3GPP TR38.811 v15.4.0, “Study on new radio (NR) to support non-terrestrial networks,” Oct. 2020
2020
Cited alongside, same era.
J.-H. Lee, J. Park, M. Bennis, and Y.-C. Ko, “Integrating LEO satellite and UAV relaying via reinforcement learning for Non-Terrestrial networks,” in Proc. IEEE Global Commun. Conf. (GLOBECOM) , Taipei, Taiwan, 2020, pp. 1–6
2020
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N. Saeed, H. Almorad, H. Dahrouj, T. Y. Al-Naffouri, J. S. Shamma, and M.-S. Alouini, “Point-to-Point communication in integrated Satellite-Aerial 6G networks: State-of-the-Art and future challenges,” IEEE Open J. Commun. Soc. , vol. 2, pp. 1505–1525, 2021
2021
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A. Valcarce and J. Hoydis, “Towards joint learning of optimal MAC signaling and wireless channel access,” arXiv: 2007.09948 [cs.IT] , 2021
2021
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M. P. Mota, A. Valcarce, J.-M. Gorce, and J. Hoydis, “The emergence of wireless MAC protocols with Multi-Agent reinforcement learning,” arXiv: 2108.07144 [cs.IT] , 2021
2021
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3GPP TS 38.321 v16.5.0, “NR; medium access control (MAC) protocol specification,” Jul. 2021
2021
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3GPP TS 38.211 v15.9.0, “NR; physical channels and modulation,” Jun. 2021
2021
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3GPP TS 38.213 v15.14.0, “NR; physical layer procedures for control,” Jun. 2021
2021
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A. Al-Hourani and I. Guvenc, “On modeling Satellite-to-Ground Path-Loss in urban environments,” IEEE Commun. Lett. , vol. 25, no. 3, pp. 696–700, 2021
2021
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J.-H. Lee, K.-H. Park, Y.-C. Ko, and M.-S. Alouini, “Throughput maximization of mixed FSO/RF UAV-aided mobile relaying with a buffer,” IEEE Trans. Wireless Commun. , vol. 20, no. 1, pp. 683–694, 2021
2021
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3GPP TR 21.916 v0.5.0, “Release 16 description; summary of rel-16 work items,” Sep. 2021
2021
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J. Schrittwieser, T. Hubert, A. Mandhane, M. Barekatain, I. Antonoglou, and D. Silver, “Online and offline reinforcement learning by planning with a learned model,” arXiv: 2104.06294 [cs.LG] , 2021
2021
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