Minimising offloading latency for edge-cloud systems with ultra-reliable and low-latency communications

Dang Van Huynh, Van Dinh Nguyen, Saeed R. Khosravirad, Trung Q. Duong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

We study a joint communication and computation offloading (JCCO) for hierarchical edge-cloud systems with ultra-reliable and low latency communications (URLLC). We aim to minimize the worst-case end-to-end (e2e) latency of computational tasks among multiple industrial Internet of Things (IIoT) devices by jointly optimizing offloading probabilities, processing rates, user association policies and power control subject to their service delay and energy consumption requirements as well as queueing stability conditions. To tackle the problem, we first decompose the original problem into two subproblems and then leverage the alternating optimization (AO) approach to solve them in an iterative fashion by developing newly convex approximate functions. The numerical results are provided to demonstrate the effectiveness of the proposed algorithms in terms of the e2e latency and convergence speed.

Original languageEnglish
Title of host publicationIEEE International Conference on Communications (ICC 2022): Proceedings
DOIs
Publication statusPublished - 11 Aug 2022

Publication series

NameIEEE International Conference on Communications: Proceedings
ISSN (Print)1550-3607
ISSN (Electronic)1938-1883

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