Physical layer impairments aware routing and spectrum allocation algorithm for transparent flexible-grid optical networks

2020 ◽  
Vol 153 ◽  
pp. 507-514 ◽  
Author(s):  
R. Krishnamurthy ◽  
T. Srinivas
Keyword(s):  
Optical Networks ◽  
Physical Layer ◽  
Spectrum Allocation ◽  
Allocation Algorithm ◽  
Physical Layer Impairments ◽  
Routing And Spectrum Allocation ◽  
Flexible Grid

Research on CLIB Routing and Spectrum Allocation Algorithm in Elastic Optical Networks

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Li Li ◽  
Zhai Ya-Fang ◽  
Li Hong-Jie
Keyword(s):  
Optical Networks ◽  
Blocking Probability ◽  
Rapid Development ◽  
Optical Network ◽  
Spectrum Allocation ◽  
Mobile Internet ◽  
High Definition ◽  
Allocation Algorithm ◽  
High Bandwidth ◽  
Routing And Spectrum Allocation

AbstractWith the rapid development of mobile Internet, high-definition video and cloud computing, users’ bandwidth demands are not only larger and larger but also more and more diverse. To solve this problem, there searchers put forward the concept of elastic optical network (EON). EON adopts the transmission mode of elastic grid, which can allocate spectrum resources flexibly and meet high bandwidth and diversity requirements at the same time. Routing and spectrum allocation (RSA) is an important issue in EON. In this paper, we present a heuristic algorithm named constrained-lower-indexed-block (CLIB) allocation algorithm for the RSA problem. The algorithm is based on the K candidate paths. When there are available spectrum blocks on multiple candidate paths, if the increase of the path length does not exceed a given threshold, the lower index spectrum would be selected for the connection request on a longer path. The aim of the algorithm is to concentrate the occupied frequency slices on one side of the spectrum and leave another side of the spectrum to the later arrived connection requests as much as possible, to reduce the blocking probability of connection requests. Simulation results show that comparing with the first-last-fit and hybrid grouping algorithms, the CLIB algorithm can reduce the blocking probability of connection requests.

scholarly journals A Research on Routing and Spectrum Allocation Algorithm for Elastic Optical Networks Based on Deep Learning

2021 ◽  
Vol 2 (3) ◽  
pp. 24-26
Author(s):  
Lina Cheng
Keyword(s):  
Deep Learning ◽  
Optical Networks ◽  
Network Performance ◽  
Blocking Probability ◽  
Optical Network ◽  
Spectrum Allocation ◽  
Dynamic Allocation ◽  
Allocation Algorithm ◽  
The Neural Network ◽  
Routing And Spectrum Allocation

Dynamic allocation request and spectrum release will lead to spectrum fragmentation, which will affect the allocation of subsequent services and spectrum resource utilization of elastic optical network. This paper proposes a new routing and spectrum allocation algorithm based on deep learning, which will find the best routing and spectrum allocation method for a specific network, so as to improve the overall network performance. Simulation results show that compared with the traditional resource allocation strategy, the neural network model used in this paper can improve the degree of spectrum fragmentation and reduce the network blocking probability.

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