Survey on machine learning for traffic-driven service provisioning in optical networks
T Panayiotou, M Michalopoulou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The unprecedented growth of the global Internet traffic, coupled with the large spatio-
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …
Machine learning techniques in optical networks: a systematic map** study
During the last decade, optical networks have become “smart networks”. Software-defined
networks, software-defined optical networks, and elastic optical networks are some …
networks, software-defined optical networks, and elastic optical networks are some …
Efficiency and fairness improvement for elastic optical networks using reinforcement learning-based traffic prediction
The characteristics of traffic in core networks have changed in recent years, with the data
flows among network nodes now showing large volumes but also large fluctuations during …
flows among network nodes now showing large volumes but also large fluctuations during …
Automaton-based representations of task knowledge from generative language models
Automaton-based representations of task knowledge play an important role in control and
planning for sequential decision-making problems. However, obtaining the high-level task …
planning for sequential decision-making problems. However, obtaining the high-level task …
On advantages of traffic prediction and grooming for provisioning of time-varying traffic in multilayer networks
The constantly increasing traffic volume triggers the fast development of new optimization
methods for backbone optical networks. Operators seek new ways to improve several …
methods for backbone optical networks. Operators seek new ways to improve several …
Ensuring Reliability for LoRa Networks Using a Reinforcement-Learning-Assisted Time Division Duplex Protocol
Long range (LoRa) is one of the most widespread members of the low-power wide area
network technologies family. Its ability to cover long distances combined with the robustness …
network technologies family. Its ability to cover long distances combined with the robustness …
A traffic prediction assisted routing algorithm for elastic optical networks
Elastic optical networks (EONs) are expected to cover the huge bandwidth demands, which
will arise in the coming years from both the applications' evolution and the implementation of …
will arise in the coming years from both the applications' evolution and the implementation of …
Agnostic Prediction of Multiple Types of Time-Varying Traffic in Optical Networks
Relentless competition among communications ser-vice providers, increasing expectations
of users, and escalating variety of new applications and services trigger the need to develop …
of users, and escalating variety of new applications and services trigger the need to develop …
Cost-efficient routing, modulation, wavelength and port assignment using reinforcement learning in optical transport networks
With the rapid growth of global network traffic, more and more high-capacity network
services are required. Traditional wavelength division multiplexing (WDM) networks are …
services are required. Traditional wavelength division multiplexing (WDM) networks are …
A reinforcement learning assisted backoff algorithm for LoRa networks
The Long Range (LoRa) networks are able to provide both long-range coverage and low
power consumption for sensing devices. These features make it one of the most attractive …
power consumption for sensing devices. These features make it one of the most attractive …