A joint optimization of training/data durations, bit allocation, and offloading ratio minimizes aerial vehicle energy in an ISAC-assisted SAGIN IoT system.
Marine IoT systems with space- air-sea integrated networks: Hybrid LEO and UA V edge computing,
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Joint Optimization of Computation Offloading and Resource Allocation in ISAC-assisted SAGIN-based IoT
A joint optimization of training/data durations, bit allocation, and offloading ratio minimizes aerial vehicle energy in an ISAC-assisted SAGIN IoT system.