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BS-Assisted Task Offloading for D2D Networks with Presence of User Mobility

机译:BS辅助任务为具有用户移动性的D2D网络卸载

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Task offloading is a key component in mobile edge computing. Offloading a task to a remote server takes commu- nication and networking resources. An alternative is device-to- device (D2D) offloading, where a task of a device is offloaded to some device having computational resource available. The latter requires that the devices are within the range of each other, first for task collection, and later for result gathering. Hence, in mobility scenarios, the performance of D2D offloading will suffer if the contact rates between the devices are low. We enhance the setup to base station (BS) assisted D2D offloading, namely, a BS can act as a relay for task distribution or result collection. However, this would imply additional consumption of wireless resource. The associated cost and the improvement in completion time of task offloading compose a fundamental trade-off. For the resulting optimization problem, we mathematically prove the complexity, and propose an algorithm using Lagrangian duality. The simulation results demonstrate not only that the algorithm has close-to-optimal performance, but also provide structural insights of the optimal trade-off.
机译:任务卸载是移动边缘计算中的一个关键组件。将任务卸载到远程服务器采取通信和网络资源。替代方案是设备到设备(D2D)卸载,其中设备的任务被卸载到具有可用计算资源的某些设备。后者要求设备在彼此的范围内,首先是任务集合,后面的结果收集。因此,在移动性方案中,如果设备之间的接触速率低,则D2D卸载的性能将受到影响。我们增强了基站(BS)辅助D2D卸载的设置,即BS可以作为任务分发或结果集合的继电器。但是,这将意味着额外的无线资源消耗。任务卸载完成时间的相关成本和改进构成了基本的权衡。对于所产生的优化问题,我们数学上证明了复杂性,并提出了一种使用拉格朗日二元性的算法。仿真结果不仅表明该算法具有近似最佳性能,而且还提供了对最佳权衡的结构见解。

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