A Spectrum Sorting Trigger Method Based on Spectrum Sensing in Elastic Optical Networks

Abstract

The invention discloses a trigger method for spectrum sorting based on spectrum sensing in an elastic optical network, which includes the following steps: step (1): calculate the spectrum availability and service demand before sorting; step (2): calculate the spectrum availability and service demand before sorting Compare the spectrum availability with the business demand. When the spectrum availability before sorting is greater than or equal to the business demand, spectrum sorting is not required; when the spectrum availability before sorting is less than the business demand, calculate the spectrum availability after sorting , and execute step (3); step (3): compare the sorted spectrum availability with the business demand, when the sorted spectrum availability is greater than or equal to the business demand, trigger the spectrum sorting mechanism; when sorted When the spectrum availability is less than the service demand, spectrum arrangement will not be performed. The invention has the advantages of increasing the success rate of network business transmission, reducing the blocking rate of business in the network and improving the utilization efficiency of network resources.

Description

technical field [0001] The invention relates to the technical fields of elastic optical network and spectrum arrangement, in particular to a trigger method for spectrum arrangement based on spectrum sensing in an elastic optical network. Background technique [0002] In recent years, the rapid development of high-bandwidth services represented by big data, cloud computing, deep learning, and artificial intelligence has put forward higher requirements for communication systems and network transmission rates. Through advanced modulation technology and multiplexing technology, the transmission capacity and efficiency of optical fiber communication systems have been greatly improved. However, the optical network still has many deficiencies in dealing with the dynamic service requirements with large differences: especially when the traditional wavelength division multiplexing (Wavelength Division Multiplexing, WDM) system responds to service connection requests, it adopts a fixed...

AI Technical Summary

Problems solved by technology

However, the optical network still has many deficiencies in dealing with the dynamic service requirements with large differences: especially when the traditional wavelength division multiplexing (Wavelength Division Multiplexing, WDM) system responds to service connection requests, it adopts a fixed Disadvantages such as low resource usage and poor flexibility

These two triggering mechanisms have their own advantages and disadvantages: the basic idea of ​​BTD is to trigger spectrum sorting immediately once congestion is detected in the network. Reduce business congestion rate and increase network throughput; but the disadvantage is: this method will sort out as soon as network congestion occurs, and it does not reasonably evaluate whether sorting can effectively solve network congestion, which may waste network resources

The idea of ​​BD is that the network is organized according to a predetermined cycle, and it is fixed once every period of time. The advantage of this method is that it can effectively prevent the fragmentation of spectrum resources from being too high. However, the biggest disadvantage of this method is that the network spectrum is in good condition. Spectrum sorting is also performed regularly, resulting in a waste of network resources

In general, the existing spectrum defragmentation strategy lacks the organic relationship with the current service status and arriving services, and cannot flexibly select the appropriate operation according to the arrival of dynamic service requests and the current network resource occupancy. Low success rate, high blocking rate of business in the network, low utilization efficiency of network resources, etc.

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