English

Wall-Street: An Intelligent Vehicular Surface for Reliable mmWave Handover

Networking and Internet Architecture 2026-03-06 v4 Signal Processing

Abstract

mmWave networks promise high bandwidth but face significant challenges in maintaining reliable connections for users moving at high speed. Frequent handovers, complex beam alignment, and signal blockage from car bodies lead to service interruptions and degraded performance. We present Wall-Street, a vehicle-mounted smart surface that enhances mmWave connectivity for in-vehicle users. Wall-Street improves mobility management by (1) steering outdoor mmWave signals into the vehicle for shared coverage and providing a single, collective handover for all users; (2) performing neighbor-cell search without interrupting data transfer, ensuring seamless handovers; and (3) connecting users to a new cell before disconnecting from the old cell for reliable cell transitions. We implemented and integrated Wall-Street into the COSMOS testbed. We collected PHY traces with multiple base station nodes and in-vehicle user nodes with a surface-mounted vehicle, driving on a nearby road. Our trace-driven ns-3 simulation demonstrates a throughput im- provement of up to 78% and a latency reduction of up to 34% over the standard Standalone handover scheme.

Keywords

Cite

@article{arxiv.2405.06754,
  title  = {Wall-Street: An Intelligent Vehicular Surface for Reliable mmWave Handover},
  author = {Kun Woo Cho and Prasanthi Maddala and Ivan Seskar and Kyle Jamieson},
  journal= {arXiv preprint arXiv:2405.06754},
  year   = {2026}
}

Comments

15 pages, 21 figures, to appear in ACM MobiCom 2026