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- W4386260410 abstract "Meeting diverse service requirements concurrently in the future 6th-generation (6G) networks is becoming extremely challenging due to the dramatically increased network and service complexities. Overcoming this challenge relies on accurate and timely understanding of network dynamics and distributed service requirements. However, the excessive delay and resource consumption associated with network-wide information gathering and centralized processing will inevitably deteriorate the 6G network operation effectiveness. To address this challenge, a dual-layered digital twin paradigm is proposed in this paper to enable intelligent network orchestration for fast real-time optimization of 6G networks. Rapid identification of problematic network situations and the corresponding fast decision-making in tackling the related issues are successively achieved by the two layers of the proposed digital twin. The new dual-layered digital twin is further adopted for traffic engineering in 6G networks with maximized quality of service provisioning. Simulation results demonstrate that the dual-layered digital twin paradigm can intelligently achieve accurate and situation-aware digital twin construction and network optimization with enhanced efficiency." @default.
- W4386260410 created "2023-08-30" @default.
- W4386260410 creator A5005905488 @default.
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- W4386260410 date "2023-05-20" @default.
- W4386260410 modified "2023-09-29" @default.
- W4386260410 title "Digital Twin Enabled Intelligent Network Orchestration for 6G: A Dual-Layered Approach" @default.
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- W4386260410 doi "https://doi.org/10.1109/infocomwkshps57453.2023.10226083" @default.
- W4386260410 hasPublicationYear "2023" @default.
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