论文标题
IRS辅助移动边缘计算的延迟时间安排
Delay-Optimal Scheduling for IRS-Aided Mobile Edge Computing
论文作者
论文摘要
我们考虑了一个智能反射表面（IRS）辅助移动边缘计算（MEC）系统，其中部署了IRS来帮助计算从两个用户到与边缘云连接的接入点的卸载。对于IRS辅助数据传输，与常规的非正交多访问（NOMA）和时间划分的多访问（TDMA）相比，我们提出了一种新的灵活的及时共享的NOMA计划，该方案允许用户分别通过Noma和TDMA将数据分为两个部分，从而将数据分别分为两个部分，从而将其分别用于公约NOMA，并封闭了公约NAMA和TDDMA ASSMAMA。我们通过设计IRS被动反射和用户的计算扣除计划来制定优化问题，以最大程度地减少两个用户的总和延迟。尽管此问题是非凸，但我们为无限和有限云计算能力的情况获得了其最佳解决方案。此外，我们表明，在不同的情况下，基于NOMA和TDMA的传输是优选的，具体取决于用户的云计算时间以及IRS Noma和TDMA之间的速率差异。
We consider an intelligent reflecting surface (IRS)-aided mobile edge computing (MEC) system, where an IRS is deployed to assist computation offloading from two users to an access point connected with an edge cloud. For the IRS-aided data transmission, in contrast to the conventional non-orthogonal multiple-access (NOMA) and time-division multiple-access (TDMA), we propose a new flexible time-sharing NOMA scheme that allows users to flexibly divide their data into two parts transmitted via NOMA and TDMA, respectively, thus encapsulating both conventional NOMA and TDMA as special cases. We formulate an optimization problem to minimize the sum delay of the two users by designing the IRS passive reflection and users' computation-offloading scheduling under the IRS discrete-phase constraint. Although this problem is non-convex, we obtain its optimal solution for both the cases of infinite and finite cloud computing capacities. Furthermore, we show that NOMA and TDMA based transmissions are preferred in different scenarios, depending on the users' cloud-computing time as well as the rate discrepancy between NOMA and TDMA with IRS.
