Testbed sharing, a practice in which different researchers concurrently develop independent use cases on top of the same testbed, is ubiquitous in wireless experimental research. Its key drawback is experimental inconvenience: one must delay experiments or tolerate compute and RF interference that harms experimental fidelity. In this paper, we propose , an open-source, software-only testbed scaling method that leverages real-time virtualization and frequency tuning to maximize parallel experiments while controlling interference. In a demonstration of two interference-sensitive 6G use cases – and – running side-by-side on a 32-core host, we showcase VOTA capabilities: results while allowing more sharing opportunities.

生成讲解博客的中文版本

生成AI智能校验的中文版本