Impact of fragmentation in quantum signal channel of quantum key distribution enabled optical networks

IF 2.5 Q3 QUANTUM SCIENCE & TECHNOLOGY IET Quantum Communication Pub Date : 2024-01-12 DOI:10.1049/qtc2.12083
Purva Sharma, Vimal Bhatia, Shashi Prakash
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Abstract

In QKD-enabled optical networks (QKD-enabled ONs), fragmentation is one of the serious issues which can be mitigated through appropriate management of network resources. Thus, efficient allocation of network resources during routing and resource assignment is important to minimise the impact of time slot fragmentation in the quantum signal channel (QSCh) of QKD-enabled ONs. The authors address the fragmentation problem in the QSCh and propose a new fragmentation-suppressed routing and resource assignment (FS-RRA) approach. To evaluate the performance and to analyse the effect of time slot fragmentation in QSCh of QKD-enabled ONs, the proposed FS-RRA approach is compared with two existing resource assignment approaches, namely, the first-fit (FF) and random-fit (RF) for two different networks. Simulation results show that the proposed approach reduces fragmentation by 2.97% and 6.69% for NSFNET and 1.77% and 5.91% for UBN24 in terms of external fragmentation compared to FF and RF, respectively. Furthermore, the proposed approach reduces blocking by 4.03% and 14.28% for NSFNET and 2.61% and 13.44% for UBN24 and improves resource utilisation up to 3.44% and 5.96% for NSFNET and 3.08% and 7.64% for UBN24 compared to FF and RF, respectively.

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启用量子密钥分发的光网络中量子信号信道碎片的影响
在支持 QKD 的光网络(QKD-enabled ONs)中,碎片是严重的问题之一,可以通过适当的网络资源管理来缓解。因此,在路由选择和资源分配过程中有效地分配网络资源对于最大限度地减少 QKD 网络量子信号信道(QSCh)中时隙碎片的影响非常重要。作者针对 QSCh 中的碎片问题,提出了一种新的碎片抑制路由和资源分配(FS-RRA)方法。为了评估 QKD 支持 ON 的 QSCh 中的性能并分析时隙碎片的影响,针对两个不同的网络,将所提出的 FS-RRA 方法与现有的两种资源分配方法(即首次拟合(FF)和随机拟合(RF))进行了比较。仿真结果表明,就外部碎片而言,与 FF 和 RF 相比,建议的方法在 NSFNET 上分别减少了 2.97% 和 6.69%,在 UBN24 上分别减少了 1.77% 和 5.91%。此外,与 FF 和 RF 相比,所建议的方法在 NSFNET 上减少了 4.03% 和 14.28%的阻塞,在 UBN24 上减少了 2.61% 和 13.44%的阻塞,在 NSFNET 上提高了 3.44% 和 5.96%的资源利用率,在 UBN24 上提高了 3.08% 和 7.64%的资源利用率。
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