ScholarWorks@성균관대학교

초록

Future wireless communication systems, encompassing a large number of devices, must precisely measure key performance indicators (KPIs) in real time to meet dynamic requirements. Experiments in real-world environments are constrained by infrastructure deployment costs, preparation time, and regulatory obligations. We propose a large-scale end-to-end (E2E) wireless network simulation framework. The framework leverages open-source software compliant with 3GPP specifications to virtualize the E2E protocol stack, including the base station (BS) and user equipment (UE). Uplink and downlink transmitted signals are convolved in real time with channel impulse responses (CIRs) computed by a large-scale multiple-input multiple-output (MIMO) channel simulator to reflect the propagation environment. The simulator models realistic channels by performing ray tracing simulations in a virtual environment that emulates a real city with multiple BSs and UEs. The proposed framework provides a safe testbed for validating and optimizing new methods without incurring risk or prohibitive costs. It also enables real-time KPI monitoring for performance evaluation.

키워드