Increasing privacy and security concerns in intelligence-native 6G networks
require quantum key distribution-secured semantic information communication
(QKD-SIC). In QKD-SIC systems, edge devices connected via quantum channels can
efficiently encrypt semantic information from the semantic source, and securely
transmit the encrypted semantic information to the semantic destination. In
this paper, we consider an efficient resource (i.e., QKD and KM wavelengths)
sharing problem to support QKD-SIC systems under the uncertainty of semantic
information generated by edge devices. In such a system, QKD service providers
offer QKD services with different subscription options to the edge devices. As
such, to reduce the cost for the edge device users, we propose a QKD resource
management framework for the edge devices communicating semantic information.
The framework is based on a two-stage stochastic optimization model to achieve
optimal QKD deployment. Moreover, to reduce the deployment cost of QKD service
providers, QKD resources in the proposed framework can be utilized based on
efficient QKD-SIC resource management, including semantic information
transmission among edge devices, secret-key provisioning, and cooperation
formation among QKD service providers. In detail, the formulated two-stage
stochastic optimization model can achieve the optimal QKD-SIC resource
deployment while meeting the secret-key requirements for semantic information
transmission of edge devices. Moreover, to share the cost of the QKD resource
pool among cooperative QKD service providers forming a coalition in a fair and
interpretable manner, the proposed framework leverages the concept of Shapley
value from cooperative game theory as a solution. Experimental results
demonstrate that the proposed framework can reduce the deployment cost by about
40% compared with existing non-cooperative baselines.

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