Computation offloading enables energy-limited devices to expand the scope of the computational tasks that they can complete within specified latency requirements. However, when multiple devices seek to offload, effective allocation of resources becomes crucial. In this paper, we develop an energy-optimal signalling structure for a $K$-user offloading system, and an efficient algorithm for allocating the communication resources provided by that structure. The signalling structure is designed to exploit the differences between the users’ latencies and the reduction in interference that arises when a device completes its offloading. That results in a time-slotted signalling structure, which is then optimized for a multiple access scheme that exploits the full capabilities of the channel (FullMA). The optimized signalling structure enables us to substantially reduce the dimension of the resource allocation problem, and to develop efficient algorithms to tackle that problem for both the binary and partial offloading cases. Our numerical experiments illustrate that the proposed time-slotted FullMA signalling structure significantly reduces the energy consumption of the devices compared to some existing methods that employ orthogonal multiple access schemes, such as TDMA, and to those with FullMA, but sub-optimal single-time-slot signalling structures.

中文翻译：

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能量优化多址计算卸载：信令结构和高效的通信资源分配

计算卸载使能量受限的设备能够扩展它们可以在指定延迟要求内完成的计算任务的范围。然而，当多个设备寻求卸载时，资源的有效分配变得至关重要。在本文中，我们为 $K$-user offloading 系统开发了一种能量优化的信令结构，以及一种用于分配该结构提供的通信资源的有效算法。信令结构旨在利用用户延迟和设备完成卸载时出现的干扰减少之间的差异。这导致了时隙信令结构，然后针对利用信道全部功能的多址方案进行优化 (FullMA)。优化的信令结构使我们能够大大减少资源分配问题的维度，并开发有效的算法来解决二进制和部分卸载情况下的问题。我们的数值实验表明，与一些采用正交多址方案（如 TDMA）的现有方法相比，所提出的时隙 FullMA 信令结构显着降低了设备的能耗，以及那些使用 FullMA 但次优单时间的方法。 -槽信号结构。