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Coordinated Intra- and Inter-system Interference Management in Integrated Satellite Terrestrial Networks (2312.07936v1)

Published 13 Dec 2023 in cs.NI and eess.SP

Abstract: Leveraging the advantage of satellite and terrestrial networks, the integrated satellite terrestrial networks (ISTNs) can help to achieve seamless global access and eliminate the digital divide. However, the dense deployment and frequent handover of satellites aggravate intra- and inter-system interference, resulting in a decrease in downlink sum rate. To address this issue, we propose a coordinated intra- and inter-system interference management algorithm for ISTN. This algorithm coordinates multidimensional interference through a joint design of inter-satellite handover and resource allocation method. On the one hand, we take inter-system interference between low earth orbit (LEO) and geostationary orbit (GEO) satellites as a constraint, and reduce interference to GEO satellite ground stations (GEO-GS) while ensuring system capacity through inter-satellite handover. On the other hand, satellite and terrestrial resource allocation schemes are designed based on the matching idea, and channel gain and interference to other channels are considered during the matching process to coordinate co-channel interference. In order to avoid too many unnecessary handovers, we consider handover scenarios related to service capabilities and service time to determine the optimal handover target satellite. Numerical results show that the gap between the results on the system sum rate obtained by the proposed method and the upper bound is reduced as the user density increases, and the handover frequency can be significantly reduced.

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References (33)
  1. D. Zhou, M. Sheng, J. Li, and Z. Han, “Aerospace integrated networks innovation for empowering 6G: A survey and future challenges,” IEEE Commun. Surv. Tut., vol. 25, no. 2, pp. 975–1019, Feb. 2023.
  2. M. Sheng, D. Zhou, W. Bai, J. Liu, and J. Li, “6G service coverage with mega satellite constellations,” China Commun., vol. 19, no. 1, pp. 64–76, Jan. 2022.
  3. M. Sheng, D. Zhou, R. Liu, Y. Wang, and J. Li, “Resource mobility in space information networks: Opportunities, challenges, and approaches,” IEEE Netw., vol. 33, no. 1, pp. 128–135, Jan. 2019.
  4. S. Chen, S. Sun, and S. Kang, “System integration of terrestrial mobile communication and satellite communication —the trends, challenges and key technologies in B5G and 6G,” China Commun., vol. 17, no. 12, pp. 156–171, Dec. 2020.
  5. X. S. Shen, N. Cheng, H. Zhou, L. Feng, W. Quan, W. Shi, W. U. Huaqing, C. Zhou, X. University, and N. University, “Space-air-ground integrated networks: review and prospect,” Chinese J. Int., vol. 4, no. 3, pp. 3–19, Sep. 2020.
  6. D. Zhou, M. Sheng, J. Luo, R. Liu, J. Li, and Z. Han, “Collaborative data scheduling with joint forward and backward induction in small satellite networks,” IEEE Trans. Commun., vol. 67, no. 5, pp. 3443–3456, May. 2019.
  7. A. Destounis and A. D. Panagopoulos, “Dynamic power allocation for broadband multi-beam satellite communication networks,” IEEE Commun. Lett., vol. 15, no. 4, pp. 380–382, Apr. 2011.
  8. K. Nakahira, K. Kobayashi, and M. Ueba, “Capacity and quality enhancement using an adaptive resource allocation for multi-beam mobile satellite communication systems,” in Proc. Wireless Commun. Netw. Conf., Las Vegas, NV, Apr. 2006, pp. 153–158.
  9. U. Park, H. W. Kim, D. S. Oh, and D. I. Chang, “Performance analysis of dynamic resource allocation for interference mitigation in integrated satellite and terrestrial systems,” in Proc. Int. Conf. Next Gener. Mobile Appl., Cambridge, United Kingdom, Sep. 2016, pp. 217–221.
  10. Y. Zhang, H. Zhang, H. Zhou, K. Long, and G. K. Karagiannidis, “Resource allocation in terrestrial-satellite-based next generation multiple access networks with interference cooperation,” IEEE J. Sel. Areas in Commun., vol. 40, no. 4, pp. 1210–1221, Apr. 2022.
  11. R. Liu, M. Sheng, K.-S. Lui, X. Wang, Y. Wang, and D. Zhou, “An analytical framework for resource-limited small satellite networks,” IEEE Commun. Lett., vol. 20, no. 2, pp. 388–391, Feb. 2016.
  12. S. K. Sharma, S. Chatzinotas, and B. Ottersten, “Inline interference mitigation techniques for spectral coexistence of GEO and NGEO satellites,” Int. J. Satell. Commun. Netw., vol. 34, no. 1, pp. 11–39, Sep. 2014.
  13. A. Pourmoghadas, S. K. Sharma, S. Chatzinotas, and B. Ottersten, “Cognitive interference management techniques for the spectral co-existence of GSO and NGSO satellites,” in Proc. Int. Conf. Wireless Satell. Syst., Genova, Italy, Jul. 2016, pp. 178–190.
  14. P. Xu, C. Wang, J. Yuan, Y. Zhao, and W. Wang, “Uplink interference analysis between LEO and GEO systems in ka band,” in Proc. 2018 IEEE 4th Int. Conf. Comp. Commun., Chengdu, China, Dec. 2018, pp. 789–794.
  15. W. Hui, C. Wang, J. Yuan, Y. Zhao, and W. Wang, “Coexistence downlink interference analysis between LEO and GEO systems in ka band,” in Proc. 2018 IEEE 4th Int. Conf. Comp. Commun., Chengdu, China, Dec. 2018, pp. 465–469.
  16. R. Li, P. Gu, and C. Hua, “Optimal beam power control for co-existing multibeam GEO and LEO satellite system,” in Proc. 2019 11th Int. Conf. Wireless Commun. and Signal Process., Xi’an, China, Oct. 2019, pp. 1–6.
  17. S. Chen, Y.-C. Liang, S. Sun, S. Kang, W. Cheng, and M. Peng, “Vision, requirements, and technology trend of 6G: How to tackle the challenges of system coverage, capacity, user data-rate and movement speed,” IEEE Wireless Commun., vol. 27, no. 2, pp. 218–228, Apr. 2020.
  18. Z. Wu, F. Jin, J. Luo, Y. Fu, J. Shan, and G. Hu, “A graph-based satellite handover framework for LEO satellite communication networks,” IEEE Commun. Lett., vol. 20, no. 8, pp. 1547–1550, Aug. 2016.
  19. K. Zhu, C. Hua, P. Gu, and W. Xu, “User clustering and proactive group handover scheduling in LEO satellite networks,” in Proc. 2020 IEEE Comp., Commun. IoT Appli., Beijing, China, Dec. 2020, pp. 1–6.
  20. L. Feng, Y. Liu, L. Wu, Z. Zhang, and J. Dang, “A satellite handover strategy based on MIMO technology in LEO satellite networks,” IEEE Commun. Lett., vol. 24, no. 7, pp. 1505–1509, Jul. 2020.
  21. S. Ni, J. Liu, M. Sheng, J. Li, and X. Zhao, “Joint optimization of user association and resource allocation in cache-enabled terrestrial-satellite integrating network,” Sci. China Inf. Sci., vol. 64, no. 8, pp. 1–14, Jun. 2021.
  22. L. Wang, Y. Wu, H. Zhang, S. Choi, and V. Leung, “Resource allocation for NOMA based space-terrestrial satellite networks,” IEEE Trans. Wireless Commun., vol. 20, no. 2, pp. 1065–1075, Feb. 2021.
  23. F. Pervez, L. Zhao, and C. Yang, “Joint user association, power optimization and trajectory control in an integrated satellite-aerial-terrestrial network,” IEEE Trans. Wireless Commun., vol. 21, no. 5, pp. 3279–3290, May 2022.
  24. W. Qiu, A. Liu, C. Han, and L. U. Aihong, “Joint user association and spectrum allocation in satellite–terrestrial integrated networks,” IEICE Trans. Commun., vol. E105-B, pp. 1063–1077, Sep. 2022.
  25. T. Leng, P. Duan, D. Hu, G. Cui, and W. Wang, “Cooperative user association and resource allocation for task offloading in hybrid GEO-LEO satellite networks,” Int. J. Satell. Commun. Netw., vol. 40, no. 3, pp. 230–243, May. 2022.
  26. B. Di, H. Zhang, L. Song, Y. Li, and G. Y. Li, “Ultra-dense leo: Integrating terrestrial-satellite networks into 5G and beyond for data offloading,” IEEE Trans. Wireless Commun., vol. 18, no. 1, pp. 47–62, Jan. 2019.
  27. M. Zink, K. Suh, Y. Gu, and J. Kurose, “Characteristics of youtube network traffic at a campus network – measurements, models, and implications,” Comp. Netw., vol. 53, no. 4, pp. 501–514, Sep. 2009.
  28. J. Zhang, L. Xiang, D. W. K. Ng, M. Jo, and M. Chen, “Energy efficiency evaluation of multi-tier cellular uplink transmission under maximum power constraint,” IEEE Trans. Wireless Commun., vol. 16, no. 11, pp. 7092–7107, Nov. 2017.
  29. Y. Tang, P. Yang, W. Wu, J. W. Mark, and X. Shen, “Interference mitigation via cross-tier cooperation in heterogeneous cloud radio access networks,” IEEE Trans. Cogn. Commun. Netw., vol. 6, no. 1, pp. 201–213, Mar. 2020.
  30. S. Boyd and L. Vandenberghe, “Convex optimization: Theory,” 2004.
  31. S. Chen, W. Ye, Y. Jia, N. Wang, and Y. Yan, “User association in cache-enabled ultra dense network with JT CoMP,” in Proc. 2018 IEEE 3rd Adv. Inf. Technol, Electron. Automat. Control Conf., Chongqing, China, Oct 2018, pp. 964–968.
  32. J. Yli-Kaakinen, T. Levanen, A. Palin, M. Renfors, and M. Valkama, “Generalized fast-convolution-based filtered-ofdm: Techniques and application to 5G new radio,” IEEE Trans. Signal Process., vol. 68, p. 1213–1228, Feb. 2020.
  33. L. Zhang, J. Liu, M. Sheng, N. Zhao, and J. Li, “Exploiting collaborative computing to improve downlink sum rate in satellite integrated terrestrial networks,” IEEE Trans. Veh. Technol., vol. 72, no. 4, pp. 4670–4682, Apr. 2023.

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