Integrated Communication, Navigation, and Remote Sensing in LEO Networks with Vehicular Applications (2404.10969v2)
Abstract: Traditionally, communication, navigation, and remote sensing (CNR) satellites are separately performed, leading to resource waste, information isolation, and independent optimization for each functionality. Taking future automated driving as an example, it faces great challenges in providing high-reliable and low-latency lane-level positioning, decimeter-level transportation observation, and huge traffic sensing information downloading. To this end, this article proposes an integrated CNR (ICNR) framework based on low Earth orbit (LEO) satellite mega-constellations. After introducing the main working principles of the CNR functionalities to serve as the technological basis, we characterize the potentials of the integration gain in vehicular use cases. Then, we investigate the ICNR framework in different integration levels, which sheds strong light on qualitative performance improvement by sophisticatedly sharing orbit constellation, wireless resource, and data information towards meeting the requirements of vehicular applications. We also instantiate a fundamental numerical case study to demonstrate the integration gain and highlight possible future research directions in managing the ICNR networks.
- D. Zhou, M. Sheng, J. Li, and Z. Han, “Aerospace integrated networks innovation for empowering 6g: A survey and future challenges,” IEEE Commun. Surv. Tutor., vol. 25, no. 2, pp. 975–1019, 2nd Quarter, 2023.
- T. Zhang, G. Han, C. Lin, N. Guizani, H. Li, and L. Shu, “Integration of communication, positioning, navigation and timing for deep-sea vehicles,” IEEE Netw., vol. 34, no. 2, pp. 121 – 127, Mar. 2020.
- Y. Lee and J. P. Choi, “Connectivity analysis of mega-constellation satellite networks with optical intersatellite links,” IEEE Trans. Aerosp. Electron. Syst., vol. 57, no. 6, pp. 4213–4226, Dec. 2021.
- K. Sakai, T. Seo, and T. Fuse, “Traffic density estimation method from small satellite imagery: Towards frequent remote sensing of car traffic,” in Proc. IEEE ITSC, Auckland, New Zealand, Oct. 2019.
- Q. Wei, X. Chen, C. Jiang, and Z. Zhuang, “Time-of-arrival estimation for integrated satellite navigation and communiation signals,” IEEE Trans. Wirel. Commun., vol. 22, no. 12, pp. 9867–9880, Dec. 2023.
- G. Gao, L. Yao, W. Li, L. Zhang, and M. Zhang, “Onboard information fusion for multisatellite collaborative observation,” IEEE Geosci. Remote Sens. Mag., vol. 11, no. 2, pp. 40–59, Jun. 2023.
- H. Huang and W.-Q. Wang, “FDA-OFDM for integrated navigation, sensing, and communication systems,” IEEE Aerosp. Electron. Syst. Mag., vol. 33, no. 5-6, pp. 34–42, May 2018.
- L. Wang and J. Meng, “Constellation design and application of real-time space-based information services supporting communication, navigation and remote integration,” in International Conference in Communications, Signal Processing, and Systems, Singapore: Springer Singapore, 2020.
- X. Tan, J. Jiao, Y. Zhong, A. Ma, Y. Xu, Z. Sha, F. Huang, Y. Wan, and W. Hu, “The CNRIEEEMC: A communication-navigation-remotesensing-integrated ecological environment emergency monitoring chainfor tailings areas,” Int. J. Appl. Earth Observ. Geoinf, vol. 108, pp. 1–13, Apr. 2022.
- C. Brewer, N. Franconi, R. Ripley, A. Geist, T. Wise, S. Sabogal, G. Crum, S. Heyward, and C. Wilson, “NASA spacecube intelligent multi-purpose system for enabling remote sensing, communication, and navigation in mission architectures,” 34th Annu. AIAA/USU Conf. on Small Satellites, SSC20-VI-07, Logan, UT, Aug. 1-6, 2020.
- T. G. R. Reid, A. M. Neish, T. Walter, and P. K. Enge, “Broadband LEO constellations for navigation,” NAVIGATION, J. Inst. Navig.,, vol. 65, no. 2, pp. 205–220, 2018.
- Z. Li, H. Wang, T. Su, and Z. Bao, “Generation of wide-swath and high-resolution SAR images from multichannel small spaceborne SAR systems,” IEEE Geosci. Remote Sensing Lett., vol. 2, no. 1, pp. 82–86, Jan. 2005.
- C. Guo, X. Wang, L. Liang, and G. Y. Li, “Age of information, latency, and reliability in intelligent vehicular networks,” IEEE Netw., vol. 37, no. 6, pp. 109–116, Nov. 2023.
- Y. Wang, H. Luo, Y. Chen, J. Wang, R. Li, and B. Wang, “Integrated communication and navigation for ultra-dense LEO satellite networks: Vision, challenges and solutions,” arXiv preprint, pp. 1–15, May 2021.
- M. Sheng, D. Zhou, W. Bai, J. Liu, H. Li, Y. Shi, and J. Li, “Coverage enhancement for 6G satellite-terrestrial integrated networks: performance metrics, constellation configuration and resource allocation,” Sci. China Inf. Sci., vol. 66, no. 130303, pp. 1–20, Mar. 2023.
