AI/ML-Based Sensing-Assisted Edge Computing in Next-Generation Mobile Networks

Document Type

Conference Proceeding

Publication Date

1-1-2023

Abstract

Integrated sensing and communications (ISAC) has received increased attention in light of the high-frequency bands to be employed by next-generation mobile networks; such wave-form technologies natively support high-speed communications and high-resolution sensing, the latter of which, thus far, has been reserved exclusively for radar sensing platforms. To advance this integration, we propose two sensing parameters and corresponding analytics to be incorporated into two sequential optimization problems to minimize the latency in an end-to-end edge computing network. It is shown that without vital sensing functionalities, the network consistently executes poor offloading decisions. However, when equipped with crucial sensing-analytics, the best latency performance is guaranteed.

Identifier

85187790699 (Scopus)

ISBN

[9798350395389]

Publication Title

2023 IEEE Conference on Standards for Communications and Networking Cscn 2023

External Full Text Location

https://doi.org/10.1109/CSCN60443.2023.10453202

First Page

77

Last Page

82

This document is currently not available here.

Share

COinS