Event-based Quality-of-Service Parameter Estimation of a Wireless Channel

This paper proposes an event-based method to estimate the quality-of-service (QoS) parameters of a wireless communication channel between two unmanned aerial vehicles (UAV). A network estimator determines the QoS parameters at an event time by a channel estimation. Between two event times a model of the channel provides an estimate of the current QoS parameters. A two-state Markov model, which is updated at event times, models the properties of the physical communication channel, which are varying with the distance between the UAVs. In contrast to existing literature the QoS parameters of a varying channel between objects are estimated continuously by a channel model and are utilised for an event-based collision avoidance method, which was introduced in previous publications to cope with an unreliable network. A simulation study with two quadrotors shows the accuracy of the estimate and that collisions can only be avoided by considering the channel properties.