Spectrum Defragmentation Window in SDM-EON Networks

Space division multiplexing (SDM) technology expands the capacity of elastic optical networks (EONs) by adding spatial dimensions, positioning SDM-EONs as a strong candidate for future high-throughput infrastructures. However, SDM introduces new challenges, especially vertical fragmentation, where frequency slots become misaligned across multiple cores. This fragmentation decreases spectral efficiency, reduces resource availability, and increases connection blocking. This work proposes WDefrag, a novel RMSCA algorithm that tackles these issues through Slot Window Defragmentation, an original strategy developed in this study. WDefrag segments the spectrum into cost-evaluated windows and identifies regions where fragmentation most severely limits allocation. The algorithm reallocates resources locally, avoids unnecessary disruptions, and improves spectrum organization while managing crosstalk and fragmentation in both spatial and spectral dimensions. WDefrag operates in both proactive and reactive modes and adjusts window sizes to match traffic dynamics. Simulations compare it against non-defragmenting and state-of-the-art approaches. WDefrag outperforms these baselines by up to 30% in bandwidth blocking reduction, particularly in proactive scenarios. By applying cost-aware decisions and prioritizing fragmented regions that limit connectivity, WDefrag enhances spectrum utilization and delivers consistent performance improvements under real network demands.

Authors

Institutions

Publication Details

Journal
Journal of Internet Services and Applications
Published
2025-08-13
DOI
https://doi.org/10.5753/jisa.2025.5474
Citations
1
Primary Topic
Advanced Optical Network Technologies
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spectrum Defragmentation Window in SDM-EON Networks

Lucas Rodrigues Costa, Marcelo A. Marotta, Paulo José de Souza Júnior
1 citations
Journal of Internet Services and Applications
Advanced Optical Network Technologies
0.73
article

Spectrum Defragmentation Window in SDM-EON Networks

Lucas Rodrigues Costa, Marcelo A. Marotta, Paulo José de Souza Júnior
article en
1 citations

Abstract

Space division multiplexing (SDM) technology expands the capacity of elastic optical networks (EONs) by adding spatial dimensions, positioning SDM-EONs as a strong candidate for future high-throughput infrastructures. However, SDM introduces new challenges, especially vertical fragmentation, where frequency slots become misaligned across multiple cores. This fragmentation decreases spectral efficiency, reduces resource availability, and increases connection blocking. This work proposes WDefrag, a novel RMSCA algorithm that tackles these issues through Slot Window Defragmentation, an original strategy developed in this study. WDefrag segments the spectrum into cost-evaluated windows and identifies regions where fragmentation most severely limits allocation. The algorithm reallocates resources locally, avoids unnecessary disruptions, and improves spectrum organization while managing crosstalk and fragmentation in both spatial and spectral dimensions. WDefrag operates in both proactive and reactive modes and adjusts window sizes to match traffic dynamics. Simulations compare it against non-defragmenting and state-of-the-art approaches. WDefrag outperforms these baselines by up to 30% in bandwidth blocking reduction, particularly in proactive scenarios. By applying cost-aware decisions and prioritizing fragmented regions that limit connectivity, WDefrag enhances spectrum utilization and delivers consistent performance improvements under real network demands.

Journal of Internet Services and ApplicationsVol. 16(1)
Universidade de Brasília (BR), Instituto Federal de Educação, Ciência e Tecnologia de Brasília (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo
Openalex Percentile: Top 23%
Advanced Optical Network Technologies
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.