Edge offloading, including offloading to edge base stations (BS) via cellular links and to idle mobile users (MUs) via device-to-device (D2D) links, has played a vital role in achieving ultra-low latency characteristics in 5G wireless networks. This paper studies an offloading method of parallel communication and computation to minimize the delay in multi-user systems. Three different scenarios are explored, i.e., full offloading, partial offloading, and D2D-enabled partial offloading. In the full offloading scenario, we find a serving order for the MUs. Then, we jointly optimize the serving order and task segment in the partial offloading scenario. For the D2D-enabled partial offloading scenario, we decompose the problem into two subproblems and then find the sub-optimal solution based on the results of the two subproblems. Finally, the simulation results demonstrate that the offloading method of parallel communication and computing can significantly reduce the system delay, and the D2D-enabled partial offloading can further reduce the latency.

边缘卸载，包括通过蜂窝链路卸载到边缘基站 (BS) 和通过设备到设备 (D2D) 链路卸载到空闲移动用户 (MU)，在 5G 无线网络中实现超低延迟特性方面发挥了至关重要的作用. 本文研究了一种并行通信和计算的卸载方法，以最大限度地减少多用户系统中的延迟。探索了三种不同的场景，即完全卸载、部分卸载和支持 D2D 的部分卸载。在完全卸载场景中，我们找到了 MU 的服务订单。然后，我们在部分卸载场景中联合优化服务顺序和任务段。对于支持 D2D 的部分卸载场景，我们将问题分解为两个子问题，然后根据两个子问题的结果找到次优解决方案。最后，