Beyond 5G: Reliable Extreme Mobility Management
Beyond 5G: Reliable Extreme Mobility Management
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DOI：
10.1145/3387514.3405873
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发表时间：
2020-07
期刊：
影响因子：
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通讯作者：
Yuanjie Li;Qianru Li;Zhehui Zhang;Ghufran Baig;L. Qiu;Songwu Lu
中科院分区：
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作者：
Yuanjie Li;Qianru Li;Zhehui Zhang;Ghufran Baig;L. Qiu;Songwu Lu
极端的流动性已经成为一种常态，而不是例外。然而，4G/5G移动性管理在极端移动性中并不总是可靠的，存在不可忽视的故障和策略冲突。根本原因在于，现有的移动性管理主要基于无线信号强度。虽然在静态和低移动性方面是合理的，但它在触发、决策和执行方面容易受到极端移动性的剧烈无线动态的影响。我们为4G、5G及更高版本设计了REM，即可靠的极端移动性管理。REM转移到延迟-多普勒域中的基于移动的移动性管理。其信令覆盖通过跨带估计放松反馈，简化具有可证明的冲突自由度的策略，并通过基于加密的OTFS调制稳定信令。我们对运营高速铁路数据集的评估表明，REM减少了与静态和低移动性相当的故障，具有低信令和延迟成本。
Extreme mobility has become a norm rather than an exception. However, 4G/5G mobility management is not always reliable in extreme mobility, with non-negligible failures and policy conflicts. The root cause is that, existing mobility management is primarily based on wireless signal strength. While reasonable in static and low mobility, it is vulnerable to dramatic wireless dynamics from extreme mobility in triggering, decision, and execution. We devise REM, Reliable Extreme Mobility management for 4G, 5G, and beyond. REM shifts to movement-based mobility management in the delay-Doppler domain. Its signaling overlay relaxes feedback via cross-band estimation, simplifies policies with provable conflict freedom, and stabilizes signaling via scheduling-based OTFS modulation. Our evaluation with operational high-speed rail datasets shows that, REM reduces failures comparable to static and low mobility, with low signaling and latency cost.