Wall-Street: 一种智能车载表面用于可靠的毫米波切换
Wall-Street: An Intelligent Vehicular Surface for Reliable mmWave Handover
AI总结：
Wall-Street通过智能车载表面提升毫米波连接可靠性，实现高达78%的吞吐量提升和34%的延迟降低。
摘要：
毫米波网络虽然提供高带宽，但面临维持高速移动用户可靠连接的重大挑战。频繁的切换、复杂的波束对准以及车辆本体造成的信号阻挡导致服务中断和性能下降。我们提出了Wall-Street，一种车载智能表面，以增强车载用户的毫米波连接。Wall-Street通过（1）将户外毫米波信号引导至车辆以实现共享覆盖，并为所有用户提供单一集体切换；（2）在不中断数据传输的情况下执行邻区搜索，确保无缝切换；以及（3）在断开旧小区连接之前将用户连接到新小区，以实现可靠的小区切换。我们实现了并集成了Wall-Street到COSMOS测试床。我们收集了多个基站节点和车载用户节点的物理信令跟踪，使用搭载表面的车辆在附近道路上行驶。我们的基于跟踪的ns-3仿真显示，与标准独立切换方案相比，吞吐量提高了最高78%，延迟减少了最高34%。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
