Performance Evaluation of Resource Allocation Algorithms for Multi
Multi-core fiber-based elastic optical networks (MCF-EONs) have emerged as a promising solution to address the increasing traffic demand on the Internet. However, despite their
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Multi-core fiber-based elastic optical networks (MCF-EONs) have emerged as a promising solution to address the increasing traffic demand on the Internet. However, despite their
Underwater fiber optic networks have become increasingly widespread to facilitate underwater communique. However, due to their high installation and maintenance.
It utilizes Optical Orthogonal Frequency Division Multiplexing (O-OFDM) to flexibly allocate spectrum resources according to service bandwidth requirements, but small-grained spectrum
Abstract: We describe a novel method for joint resource allocation in flexible-grid networks based on a nonlinear impairment model. Compared with the fixed-grid WDM benchmark, our algorithm achieves
Achieving Excellence in Fiber Optic Network Planning and Design: Best Practices and Strategies Discover innovative approaches to fiber optic
In this paper, we have studied the performance of fixed and flexible optical networks with respective resource allocation algorithms. We have performed simulation
The elastic optical network offers several advantages in bandwidth allocation compared to traditional fixed-grid optical networks. These advantages stem from their ability to flexibly and
This study developed and evaluated an AI-driven dynamic resource allocation framework for energy-efficient optical fiber communication networks covering Access, Metro, and Core
In resource allocation in op-tical networks, the environment is programmed to rep-resent the state, operation and constraints of a dynamic optical network. When a connection request arrives dur-ing
Extensive simulation results show that combining bi-directional transmission in dense core fibers with tailored resource allocation schemes
A deep reinforcement learning (DRL) approach is applied, for the first time, to solve the routing, modulation, spectrum, and core allocation (RMSCA)
Resource allocation process for 6 fibers A connection request arrives on the network requiring 4 continuous and contiguous resources from the source
This paper reviews the different transmission parameters, network parameters, performance metrics, and baselines used by the recent proposals to build a framework for future
In this paper, we discussed and addressed the allocation of the optical fiber sensing and communication integrated (OFSCI) network with the limited sensing resource for the first time.
Abstract—Resource allocation for transport optical networks has traditionally used a transmission reach constraint to estimate physical impairments. For flexible-grid networks, nonlinear im-pairments are
Based on the existing research results, we present future research directions about how to use machine learning techniques to conduct routing and resource allocation in multidimensional
A global constrained resource allocation optimization model is designed based on the threshold of the maximum frequency gap number occupied on the fiber core at the end of allocation.
The goal of this tutorial paper is to survey the resource allocation schemes and algorithms that aim at efficient and optimized use of transmission resources in spectrally and spatially flexible
The lack of standards in the performance evaluation of new resource allocation algorithms in multicore fiber elastic optical networks (MCF-EONs) compromises the fairness when
Dynamic spectrum allocation can extensively improve the ability of high-speed fiber optic communications, permitting Fiber-to-the-home (FTTH) and different deployments to be optimized for