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Vertical Handover of Satellite-Ground Fusion Network Based on Time and Location Under Early Access Strategy

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Smart Computing and Communication (SmartCom 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13202))

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Abstract

Satellites have been integrated into the terrestrial mobile network to meet the 5G requirements of providing connectivity regardless of time and location. The user terminal needs to switch between the satellite and base station, known as vertical handover, to achieve continuous and high-quality communication. The credit method avoids frequent network state measurement. However, it requires the status of all networks for credit calculation, which may lead to incomplete and delayed data acquisition. Therefore, a handover decision method based on time-space attribute reputation is proposed in this study. The proposed method takes the user’s location and time factors into account. Considering the changes of the network topology caused by satellite and user mobility, the target network is selected according to the overall reputation of candidates and the user’s current location. The early untrusted network information is eliminated in time to obtain an effective and accurate result. Moreover, since uplink vertical handover has an undesirably high propagation delay during protocol implementation, this study optimizes the existing execution process and proposes an early access strategy to reduce the handover delay. Both designs have been tested and are proved to be effective.

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Acknowledgement

This work was funded by the 54th Research Institute of China Electronics Technology Group Corporation in “The Manned Space Advanced Research Project under Grant [060501]” and “The Civil Aerospace Technology Advance Research Project under Grant [B0105].”

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Liu, Y. et al. (2022). Vertical Handover of Satellite-Ground Fusion Network Based on Time and Location Under Early Access Strategy. In: Qiu, M., Gai, K., Qiu, H. (eds) Smart Computing and Communication. SmartCom 2021. Lecture Notes in Computer Science, vol 13202. Springer, Cham. https://doi.org/10.1007/978-3-030-97774-0_35

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  • DOI: https://doi.org/10.1007/978-3-030-97774-0_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97773-3

  • Online ISBN: 978-3-030-97774-0

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