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INFOCOM2025顶会

Tree Embedding Based Mapping System for Low-Latency Mobile Applications in Multi-Access Networks

Yu Mi, Randeep Bhatia, Fang Hao, An Wang, Steven A. Benno, T. V. Lakshman

2025年份
1被引次数

摘要

Low-latency applications like AR/VR and online gaming need fast, stable connections. New technologies such as V2X, LEO satellites, and 6G bring unique challenges in mobility management. Traditional solutions based on centralized or distributed anchors often fall short in supporting rapid mobility due to inefficient routing, low versatility, and insufficient multi-access support. In this paper, we design a new end-to-end system for tracking multi-connected mobile devices at scale and optimizing performance for latency-sensitive, highly dynamic applications. Our system, based on the locator/ID separation principle, extends to multi-access networks without requiring specialized routers or caching. Using a novel tree embedding-based overlay, we enable fast session setup while allowing endpoints to directly handle mobility between them. Evaluation with real network data shows our solution cuts connection latency to 7.42 % inflation over the shortest path, compared to LISP's 359% due to cache misses. It also significantly reduces location update overhead and disruption time during mobility.

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