Channel Prediction With Location Uncertainty for Ad Hoc Networks

Abstract

Multi-agent systems (MAS) rely on positioning technologies to determine their physical location, and on wireless communication technologies to exchange information. Both positioning and communication are affected by uncertainties, which should be accounted for. This paper considers an agent placement problem to optimize end-to-end communication quality in a MAS, in the presence of uncertainties. Using Gaussian processes (GPs), operating on the input space of location distributions, we are able to model, learn, and predict the wireless channel. Predictions, in the form of distributions, are fed into the communication optimization problems. This approach inherently avoids regions of the workspace with high position uncertainty and leads to better average communication performance. We illustrate the benefits of our approach via extensive simulations, based on real wireless channel measurements. Finally, we demonstrate the improved channel learning and prediction performance, as well as the increased robustness in agent placement. Index Terms-Ad-hoc networks, bit error rate, channel prediction, Gaussian processes, multi-agent systems M. Fröhle and H. Wymeersch are with the Department of Electrical Engineering

Gaussian Process Modeling of Specular Multipath Components

“…Future 5G wireless communication technologies and the Internet of Things (IoT) paradigm will be characterized by supporting a variety of services with high quality requirements, addressing performance metrics such as reliability, latency, data throughput, and resource-efficient use of the infrastructure [1][2][3]. Spatial location information is expected to become an indispensable feature of these emerging wireless networks, considering that much more accurate position information will become available with those new generations of wireless networks [4][5][6]. These references elaborate, how such "location-awareness" can be exploited for improving the robustness and performance of wireless networks.…”