Xav-RQCD: Crosstalk-Avoided Joint Resource Allocation Model for Quantum, Companion, and Data Channels in Spectrally-Spatially Elastic Optical Networks
Year: 2026
Type: conference-paper
Abstract: The incorporation of quantum key distribution (QKD) within spectrally-spatially elastic optical networks (SSEONs) is a promising and efficient way to achieve both highcapacity and secure data transmission, which makes it a viable solution for future optical communication infrastructures. Previous studies have mainly focused on optimized classical and quantum traffic separately while overlooking the need for unified resource management in hybrid networks that jointly accommodate both quantum and classical traffic. Although a few studies have explored joint allocation but they ignored quantumspecific constraints such as link fidelity, per-link loss, and node insertion loss. This limitation is ultimately insecure and infeasible for handling quantum traffic. To address this gap, this paper proposes Xav-RQCD, an optimization model for the joint allocation of quantum, companion, and data channels in SS-EONs. XavRQCD introduces a mixed-integer linear programming formulation that incorporates quantum-aware physical constraints while employing a crosstalk-avoided allocation strategy to minimize the maximum utilized spectrum slot index while maintaining quantum transmission quality. To ensure scalability, a heuristic solution is also developed. Numerical evaluations demonstrate that Xav-RQCD manages resource allocation effectively under varying fidelity with the XT-avoided allocation. Results show that network maintains high average fidelity and low average path loss for varying traffic. Relaxed fidelity threshold allows better resource efficiency and lower blocking probability, whereas stricter fidelity requirements enhance quantum security at the cost of higher blocking probability.
Institutions: South Asian University, Kyoto University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7206168006