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• W4295308354 abstract "To support the emergent freshness-critical applications in the satellite-integrated IoT, information must be transmitted timely and reliably. A significant limitation of the upcoming satellite-integrated IoT era is the non-trivial propagation latency because of long-distance communication. To realize timely information delivery, the hybrid automatic repeat request (HARQ) strategy with frequent feedback is not fit anymore, since the reliability of the HARQ strategy needs multiple retransmission of the obsolete packets, which inevitably result in information staleness in the satellite-integrated IoT. In this paper, we design a two-layer coding strategy that uses error-correction codes within each packet in the physical-layer (PHY) and erasure-correction codes across the packets in the packet-layer. Then, we formulate an AoI-optimal redundancy-allocation problem to find the redundancy compromise between error-correction codes and erasure-correction codes. By solving the redundancy-allocation problem for the designed two-layer coding strategy, we derive explicit expressions of the AoI-optimal two-layer coding rates. Inspired by this, we explore the optimal reliability of the physical channel. Numerical results and analysis prove that making the physical channel suitably unreliable is beneficial to the timeliness of the system. And the simulation results indicate that the combination of erasure-correction codes and relative lossy error-correction codes achieves AoI-improvement over the ultra-reliable PHY-only coding scheme. The simulation results also show that the choice of AoI-optimal coding rates depends heavily on the channel characteristics, such as the signal-to-noise ratio, fade duration and channel fading parameters." @default.
• W4295308354 created "2022-09-12" @default.
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• W4295308354 date "2023-01-01" @default.
• W4295308354 modified "2023-10-17" @default.
• W4295308354 title "Towards Age-Optimal Transmission in Satellite-Integrated IoT: A Two-Layer Coding Approach" @default.
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• W4295308354 doi "https://doi.org/10.1109/tvt.2022.3205625" @default.
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