LEO satellites; resource allocation; reinforcement learning
Résumé :
[en] Towards the next generation networks, low earth orbit (LEO) satellites have been considered as a promising component for beyond 5G networks. In this paper, we study downlink LEO-5G communication systems in a practical scenario, where the integrated LEO-terrestrial system is over-loaded by serving a number of terminals with high-volume traffic requests. Our goal is to optimize resource scheduling such that the amount of undelivered data and the number of unserved terminals can be minimized. Due to the inherent hardness of the formulated quadratic integer programming problem, the optimal algorithm requires unaffordable complexity. To solve the problem, we propose a near-optimal algorithm based on alternating direction method of multipliers (ADMM-HEU), which saves computational time by taking advantage of the distributed ADMM structure, and a low-complexity heuristic algorithm (LC-HEU), which is based on estimation and greedy methods. The results demonstrate the near-optimality of ADMM-HEU and the computational efficiency of LC-HEU compared to the benchmarks.
Disciplines :
Ingénierie électrique & électronique
Auteur, co-auteur :
yuan, Yaxiong
Lei, Lei; Xi'an Jiaotong University
VU, Thang Xuan ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Fowler, Scott
CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Efficient Resource Scheduling and Optimization for Over-Loaded LEO-Terrestrial Networks
Date de publication/diffusion :
mai 2022
Nom de la manifestation :
IEEE International Conference on Communications
Date de la manifestation :
16-5-2022
Titre de l'ouvrage principal :
Proceeding of IEEE ICC 2022
Peer reviewed :
Peer reviewed
Projet FnR :
FNR13718904 - Autonomous Network Slicing For Integrated Satellite-terrestrial Transport Networks, 2019 (01/06/2020-31/05/2023) - Symeon Chatzinotas
L. Lei, Y. Yuan, T. X. Vu, S. Chatzinotas, M. Minardi and J. F. M. Montoya, "Dynamic-adaptive AI solutions for network slicing management in satellite-integrated B5G systems, " in IEEE Network, vol. 35, no. 6, pp. 91-97, Dec. 2021.
3GPP TR 23.737, "Study on architecture aspects for using satellite access in 5G (release 17)".
J. Wu, C. Yuen, N. M. Cheung, and J. Chen, "Delay-constrained high definition video transmission in heterogeneous wireless networks with multi-homed terminals, " in IEEE Transaction on Mobile Computing, vol. 15, no. 3, pp. 641-655, Mar. 2016.
O. Kodheli et al., "Satellite communications in the new space era: A Survey and future challenges, " in IEEE Communications Surveys and Tutorials, vol. 23, no. 1, pp. 70-109, 2021.
L. You, K. Li, J. Wang, X. Gao, X. Xia, and B. Ottersten, "Massive MIMO transmission for LEO satellite communications, " in IEEE Journal on Selected Areas in Communications, vol. 38, no. 8, pp. 1851-1865, Jun. 2020.
B. Di, H. Zhang, L. Song, Y. Li, and G. Y. Li, "Ultra-dense LEO: Integrating terrestrial-satellite networks into 5G and beyond for offloading, " in IEEE Transactions on Wireless Communications, vol. 18, no. 1, pp. 47-62, Dec. 2018.
Y. Li, N. Deng, and W. Zhou, "A hierarchical approach to resource allocation in extensible multi-layer LEO-MSS, " in IEEE Access, vol. 8, pp. 18522-18537, Jan. 2020.
S. Wang, Y. Li, Q. Wang, M. Su, and W. Zhou, "Dynamic downlink resource allocation based on imperfect estimation in LEO-HAP cognitive system, " in Proc. 2019 IEEE International Conference on Wireless Communications and Signal Processing (WCSP), Oct. 2019.
F. Tian, L. Huang, G. Liang, X. Jiang, S. Sun, and J. Ma, "An efficient resource allocation mechanism for beam-hopping based LEO satellite communication system, " in Proc. 2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Jun. 2019.
A. Wang, L. Lei, E. Lagunas, S. Chatzinotas, A. I. P. Neira, and B. Ottersten, "Joint beam-hopping scheduling and power allocation in NOMAassisted satellite systems, " in Proc. 2021 IEEE Wireless Communications and Networking Conference (WCNC), Apr. 2021.
W. Wang, Y. Tong, L. Li, A. A. Lu L. You, and X. Gao, "Near optimal timing and frequency offset estimation for 5G integrated LEO satellite communication system, " in IEEE Access, vol. 7, pp. 113298-11331, 2019.
"Doppler compensation, uplink timing advance and random access in NTN, " 3GPP TSG RAN WG1 Meeting, no. 97, R1-1906087, May 2019.
Y. Ruan, Y. Li, R. Zhang, W. Cheng, and C. Liu, "Cooperative resource management for cognitive satellite-aerial-terrestrial integrated networks towards IoT, " in IEEE Access, vol. 8, pp. 35759-35769, 2020.
C. H. Papadimitriou and K. Steiglitz, "Combinatorial optimization: Algorithms and complexity, " Mineola, NY, USA: Dover, 1998.
S. Boyd, N. Parikh, and E. Chu, "Distributed optimization and statistical learning via the alternating direction method of multipliers, " Hanover, MA, USA: Now Publishers Inc., 2011.
O. Popescu, "Power budgets for cubesat radios to support ground communications and inter-satellite links, " in IEEE Access, vol. 5, pp. 12618-12625, 2017.
S. Xia, Q. Jiang, C. Zou and G. Li, "Beam coverage comparison of LEO satellite systems based on user diversification, " in IEEE Access, vol. 7, pp. 181656-181667, 2019.
