Integrated Communication, Navigation, and Remote Sensing in LEO Networks with Vehicular Applications
arxiv(2024)
摘要
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 from the perspective of vehicular applications.
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 the main
tradeoffs in managing the ICNR networks from the perspective of vehicular
applications.
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