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Creators/Authors contains: "Abkenar, Forough Shirin"

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  1. ; ; ; ; ; ; (, IEEE)
    Not AvailableNetwork operators tend to migrate multiband optical networks to wider bands by batch upgrade (i.e., with a pay-as-you-grow strategy affecting only a subset of links at a time). However, temporary interruptions of services routed along the fibers that require equipment upgrades can create significant service blocking, which can only be avoided with interim lightpath re-allocation during the upgrade period. To seamlessly upgrade the network from C+L to C+L+S bands, we propose a batch upgrade strategy to reduce the upgrade cost, and a band-selective re-allocation method during the upgrade period to minimize blocking probability (BP). Simulations on the US-24 topology demonstrate up to nearly 50% cost reduction and BP as low as 0.3%. 
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    Free, publicly-accessible full text available May 6, 2026
  2. ; ; ; ; ; ; ; ; ; ; et al (, IEEE)
    We propose a privacy-preserving strategy based on federated learning to localize soft failures in multi-carrier optical networks using a self-supervised approach on unlabeled data. Evaluations conducted on data from a testbed demonstrate the effectiveness of the proposed strategy. 
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    Free, publicly-accessible full text available May 6, 2026
  3. ; ; (, IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (IEEE WoWMoM))
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  4. ; ; ; ; ; ; ; ; (, IEEE)
    Multi-band transmission is a promising solution for capacity enhancement in optical networks. We propose a novel strategy, named C to C+L Upgrade (CLU), to gradually upgrade links from C to C+L bands. We develop a Recurrent Neural Network (RNN)-based model to efficiently predict links for upgrade, based on network state and resource utilization, to reduce blocking and upgrade cost. Our results show that CLU outperforms baseline strategies (which do not employ predictive decisions) by upgrading fewer links at appropriate times. 
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  5. ; ; ; ; ; ; ; (, IEEE)
    Not AvailableEfficient network management in optical backbone networks is crucial for handling continuous traffic growth. In this work, we address the challenges of managing dynamic traffic in C- and C+L-band optical backbone networks while exploring application flexibility, namely the compressibility and delayability metrics. We propose a strategy, named Delay-Aware and Compression-Aware (DACA) provisioning algorithm, which reduces blocking probability, thereby increasing information-carrying capacity of the network compared to baseline strategies. 
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    Full Text Available 
  6. ; ; (, IEEE Topical Conference on Wireless Sensors and Sensor Networks (IEEE WiSNet))
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