This paper presents the exploitation of an artificial neural network (ANN) to facilitate insights
into existing bandwidth allocation schemes in optical access networks and supervise …

In this work, we present a complete rethink of the decision-making process in allocating
bandwidth in a heterogeneous Fiber-Wireless network with machine intelligence. We …

Converged access networks consolidating 5G and beyond and fixed optical fiber access are
expected to support future latency-sensitive human-to-machine applications over the Tactile …

Emerging applications such as remotely-controlled human-to-machine and tactile-haptic
applications in the Internet evolution demand stringent low-latency transmission. In realising …

Over the last decade, Passive Optical Networks (PONs) have emerged as an ideal
candidate for next-generation broadband access networks. Meanwhile, machine learning …

We examine the problem of bandwidth allocation (BA) on flexible optical networks in the
presence of traffic demand uncertainty. We assume that the daily traffic demand is given in …

6G networks will deliver dynamic and immersive applications that bridge the real and digital
worlds. The next-generation passive optical access network is a potential optical transport …

In order to make the existing Ethernet passive optical network can cope with the increasing
demand of network traffic in the future and adapt to the low delay transmission …

We present the use of machine learning to predict bandwidth demand over heterogeneous
optical-wireless networks, and propose a novel predictive bandwidth allocation algorithm …

Optical access networks are envisioned to become increasingly complex as they support
more and more diverse and immersive services, each with a different capacity, latency, and …