Resource Allocation in Elastic Optical Networks with Physical-Layer Impairments

Xu, Yuxin

doi:10.18130/v3sw8f

Cited by 1 publication

(2 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several resource allocation schemes have been developed over the last few years to improve the spectral efficiency of EONs [2,6,8,14,30]. While some of these schemes were designed for EONs with static traffic [2,6,8], many others were designed to reduce traffic blocking under dynamic traffic environments [36][37][38][39][40].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Impairment‐aware resource allocation scheme for elastic optical networks with different service priorities

Munasinghe,

Dharmaweera,

de Alwis

et al. 2024

IET Communications

View full text Add to dashboard Cite

Today, elastic optical networks (EONs) are required to accommodate traffic with different service priorities. For example, mission‐critical applications such as industrial internet, smart grids, and remote surgery require an ultra‐reliable low‐latency communication system. The novel impairment‐aware resource allocation scheme proposed here prioritises traffic. It satisfies the quality and latency requirements of mission‐critical traffic while causing minimum disruptions to other forms of low‐priority traffic connections. The results obtained for 6‐node and 14‐node networks under various traffic distribution environments indicate that the proposed algorithm achieves higher spectral efficiency, reduces spectrum fragmentation, and causes minimal disruptions over the benchmark algorithm.

show abstract

Section: Related Workmentioning

confidence: 99%

“…Over the last two decades, several researchers have developed various resource allocation schemes to increase network throughput, spectral efficiency, and reduce the cost and energy consumption of EONs [2,14,[30][31][32]. These have often been realized in the form of novel routing, modulation, and spectrum allocation (RMSA) algorithms.…”

Section: Introductionmentioning

confidence: 99%