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Emerging real-time applications such as those classified under ultra-reliablelow latency (uRLLC) generate bursty traffic and have strict Quality of Service(QoS) requirements. Passive Optical Network (PON) is a popular access networktechnology, which is envisioned to handle such applications at the accesssegment of the network. However, the existing standards cannot handle strictQoS constraints. The available solutions rely on instantaneous heuristicdecisions and maintain QoS constraints (mostly bandwidth) in an average sense.Existing works with optimal strategies are computationally complex and are notsuitable for uRLLC applications. This paper presents a novelcomputationally-efficient, far-sighted bandwidth allocation policy design forfacilitating bursty traffic in a PON framework while satisfying strict QoS (ageof information/delay and bandwidth) requirements of modern applications. Tothis purpose, first we design a delay-tracking mechanism which allows us tomodel the resource allocation problem from a control-theoretic viewpoint as aModel Predictive Control (MPC). MPC helps in taking far-sighted decisionsregarding resource allocations and captures the time-varying dynamics of thenetwork. We provide computationally efficient polynomial-time solutions andshow its implementation in the PON framework. Compared to existing approaches,MPC reduces delay violations by approximately 15% for a delay-constrainedapplication of 1ms target. Our approach is also robust to varying trafficarrivals.

Achieving QoS for Real-Time Bursty Applications over Passive Optical Networks