作者: Vinay-Prasad Chowdappa , Markus Frohole , Henk Wymeersch , Carmen Botella
关键词: Wireless network 、 Multi-agent system 、 Simulation 、 Communication channel 、 Wireless 、 Computer science 、 Monte Carlo method 、 Kriging 、 Distributed computing
摘要: Multi-agent systems (MAS) communicate over a wireless network to coordinate their actions and report mission status. Connectivity system-level performance can be improved by channel gain prediction. We present distributed Gaussian process regression (GPR) framework for prediction in terms of the received power MAS. The combines Bayesian committee machine with an average consensus scheme, thus distributing not only memory, but also computational communication loads. Through Monte Carlo simulations, we demonstrate proposed GPR.