Spectrum Allocation Using Integer Linear Programming and Kerr Optical Frequency Combs
The rapid increase in Internet usage has led to a growing demand for bandwidth. Optical microring resonators (MRRs) are emerging as a promising solution to meet this need. MRRs generate optical frequency combs (OFCs) that provide multiple wavelengths with high phase coherence, enabling communication...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Photonics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-6732/11/12/1114 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846103139422306304 |
|---|---|
| author | Sergio Muñoz-Tapasco Andrés F. Calvo-Salcedo Jose A. Jaramillo-Villegas |
| author_facet | Sergio Muñoz-Tapasco Andrés F. Calvo-Salcedo Jose A. Jaramillo-Villegas |
| author_sort | Sergio Muñoz-Tapasco |
| collection | DOAJ |
| description | The rapid increase in Internet usage has led to a growing demand for bandwidth. Optical microring resonators (MRRs) are emerging as a promising solution to meet this need. MRRs generate optical frequency combs (OFCs) that provide multiple wavelengths with high phase coherence, enabling communication via wavelength division multiplexing (WDM). Spectrum allocation methods, such as the Routing, Modulation Level, and Spectrum Assignment (RMLSA) approach, play a crucial role in executing this strategy efficiently. While current algorithms have improved allocation efficiency, further development is necessary to optimize network performance. This paper presents an integer linear programming (ILP)-based method for network resource allocation, aiming to maximize the number request and the bandwidth assigned to each. The proposed approach offers a flexible cost function that prioritizes system constraints such as transmission distance and bandwidth requirements, resulting in significant improvements to the bandwidth blocking rate (BBR). By integrating multilevel modulation and using wavelengths generated by MRRs, this method efficiently handles up to 1075 requests, achieving a BBR of zero. This dynamic and adaptable allocation strategy ensures optimal resource utilization, enhancing overall network performance. |
| format | Article |
| id | doaj-art-5c2e7f88c5c34962923d2d10d3eb3171 |
| institution | Kabale University |
| issn | 2304-6732 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj-art-5c2e7f88c5c34962923d2d10d3eb31712024-12-27T14:47:07ZengMDPI AGPhotonics2304-67322024-11-011112111410.3390/photonics11121114Spectrum Allocation Using Integer Linear Programming and Kerr Optical Frequency CombsSergio Muñoz-Tapasco0Andrés F. Calvo-Salcedo1Jose A. Jaramillo-Villegas2Faculty of Engineering, Universidad Tecnológica de Pereira, Pereira 660003, ColombiaFaculty of Engineering, Universidad Tecnológica de Pereira, Pereira 660003, ColombiaFaculty of Engineering, Universidad Tecnológica de Pereira, Pereira 660003, ColombiaThe rapid increase in Internet usage has led to a growing demand for bandwidth. Optical microring resonators (MRRs) are emerging as a promising solution to meet this need. MRRs generate optical frequency combs (OFCs) that provide multiple wavelengths with high phase coherence, enabling communication via wavelength division multiplexing (WDM). Spectrum allocation methods, such as the Routing, Modulation Level, and Spectrum Assignment (RMLSA) approach, play a crucial role in executing this strategy efficiently. While current algorithms have improved allocation efficiency, further development is necessary to optimize network performance. This paper presents an integer linear programming (ILP)-based method for network resource allocation, aiming to maximize the number request and the bandwidth assigned to each. The proposed approach offers a flexible cost function that prioritizes system constraints such as transmission distance and bandwidth requirements, resulting in significant improvements to the bandwidth blocking rate (BBR). By integrating multilevel modulation and using wavelengths generated by MRRs, this method efficiently handles up to 1075 requests, achieving a BBR of zero. This dynamic and adaptable allocation strategy ensures optimal resource utilization, enhancing overall network performance.https://www.mdpi.com/2304-6732/11/12/1114WDM-PONRMLSAoptical microresonatorsbandwidth blocking ratiooptimization |
| spellingShingle | Sergio Muñoz-Tapasco Andrés F. Calvo-Salcedo Jose A. Jaramillo-Villegas Spectrum Allocation Using Integer Linear Programming and Kerr Optical Frequency Combs Photonics WDM-PON RMLSA optical microresonators bandwidth blocking ratio optimization |
| title | Spectrum Allocation Using Integer Linear Programming and Kerr Optical Frequency Combs |
| title_full | Spectrum Allocation Using Integer Linear Programming and Kerr Optical Frequency Combs |
| title_fullStr | Spectrum Allocation Using Integer Linear Programming and Kerr Optical Frequency Combs |
| title_full_unstemmed | Spectrum Allocation Using Integer Linear Programming and Kerr Optical Frequency Combs |
| title_short | Spectrum Allocation Using Integer Linear Programming and Kerr Optical Frequency Combs |
| title_sort | spectrum allocation using integer linear programming and kerr optical frequency combs |
| topic | WDM-PON RMLSA optical microresonators bandwidth blocking ratio optimization |
| url | https://www.mdpi.com/2304-6732/11/12/1114 |
| work_keys_str_mv | AT sergiomunoztapasco spectrumallocationusingintegerlinearprogrammingandkerropticalfrequencycombs AT andresfcalvosalcedo spectrumallocationusingintegerlinearprogrammingandkerropticalfrequencycombs AT joseajaramillovillegas spectrumallocationusingintegerlinearprogrammingandkerropticalfrequencycombs |