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In the system model section, we present a method of calculating the cost function for partial offloading and deep learning model structure. fcl(ci) indicates the local cost when ci executes locally in the UE where ci is the ith components of a single task. The cost function for local execution fcl(ci) can be calculated as follow.
where ¥ä1 and ¥ä2 are the weighting coefficient by which we can change the contribution and priority of delay and energy consumption in the local cost function, respectively. In the delay parameters, dli is a total delay for local execution of ci, ddi is a time delay for task-division per component, and dmax is the deadline time for whole task execution. In the energy parameters, Eli is total energy consumption for local execution of ci, Edi is energy consumption for partitioning the task, and Emax is the maximum energy of UE's battery.
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IEEE/ICACT20220171 Slide.06
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