Estimating Regions of Wireless Coexistence with Gaussian Process Surrogate Models
D. Rezac, Noel C. Hess, Jason B. Coder · 2021 IEEE International Joint EMC/SI/PI and EMC Europe Symposium · 2021
Simultaneous coexistence of multiple wireless communications systems sharing the same spectrum is critical for the success of modern and future communications. We develop a technique for estimating regions of wireless coexistence (RWC) – the transmission configurations of each of the wireless systems which permit coexistence – based on measurements of key performance indicators (KPIs) of those systems. In this article we focus on two-way coexistence tests, which aim to determine the impact each of the communications systems have on each other. The new technique is based on a Gaussian process surrogate model of the unknown transmission-configuration-to-KPI functions. We introduce a sequential design of experiments based on this surrogate model which is designed to reduce the number of measurements necessary to reach a highly-accurate estimate of a RWC. On an illustrative example, this technique reduces the average number of required measurements by over 40% compared to a baseline experimental design. Similar results are achieved for a measurement-informed simulation based on a coexistence test between an Bluetooth Low Energy device and an IEEE 802.11n Wi-Fi devices.