Reconfigurable Intelligent Surface-assisted Edge Computing to Minimize Delay in Task Offloading

by   Mithun Mukherjee, et al.

The advantage of computational resources in edge computing near the data source has kindled growing interest in delay-sensitive Internet of Things (IoT) applications. However, the benefit of the edge server is limited by the uploading and downloading links between end-users and edge servers when these end-users seek computational resources from edge servers. The scenario becomes more severe when the user-end's devices are in the shaded region resulting in low uplink/downlink quality. In this paper, we consider a reconfigurable intelligent surface (RIS)-assisted edge computing system, where the benefits of RIS are exploited to improve the uploading transmission rate. We further aim to minimize the delay of worst-case in the network when the end-users either compute task data in their local CPU or offload task data to the edge server. Next, we optimize the uploading bandwidth allocation for every end-user's task data to minimize the maximum delay in the network. The above optimization problem is formulated as quadratically constrained quadratic programming. Afterward, we solve this problem by semidefinite relaxation. Finally, the simulation results demonstrate that the proposed strategy is scalable under various network settings.



There are no comments yet.


page 1


A Risk-Sensitive Task Offloading Strategy for Edge Computing in Industrial Internet of Things

Edge computing has become one of the key enablers for ultra-reliable and...

NOMA Assisted Multi-MEC Offloading for IoVT Networks

Nowadays, Internet of Video Things (IoVT) grows rapidly in terms of quan...

TODG: Distributed Task Offloading with Delay Guarantees for Edge Computing

Edge computing has been an efficient way to provide prompt and near-data...

Reconfigurable Intelligent Surface Assisted Edge Machine Learning

The ever-growing popularity and rapid improving of artificial intelligen...

Cross-layer Design for Mission-Critical IoT in Mobile Edge Computing Systems

In this work, we propose a cross-layer framework for optimizing user ass...

Edge Computing and Dynamic Vision Sensing for Low Delay Access to Visual Medical Information

A new method is proposed to decrease the transmission delay of visual an...

Topic Allocation Method on Edge Servers for Latency-sensitive Notification Service

The importance of real-time notification has been growing for social ser...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.