  The paper proposes Resource Allocation (RA) schemes for a closed loop
feedback control system by analysing the control-communication dependencies. We
consider an Automated Guided Vehicle (AGV) that communicates with a controller
located in an edge-cloud over a wireless fading channel. The control commands
are transmitted to an AGV and the position state is feedback to the controller
at every time-instant. A control stability based scheduling metric 'Probability
of Instability' is evaluated for the resource allocation. The performance of
stability based RA scheme is compared with the maximum SNR based RA scheme and
control error first approach in an overloaded and non-overloaded scenario. The
RA scheme with the stability constraints significantly reduces the resource
utilization and is able to schedule more number of AGVs while maintaining its
stability. Moreover, the proposed RA scheme is independent of control state and
depends upon consecutive packet errors, the control parameters like sampling
time and AGV velocity. Furthermore, we also analyse the impact of RA schemes on
the AGV's stability and error performance, and evaluated the number of unstable
AGVs.
