Resource Allocation for Semantic-Aware Mobile Edge Computing Systems
Yihan Cang, Ming Chen, Zhaohui Yang, Yuntao Hu, Yinlu Wang, Zhaoyang, Zhang, Kai-Kit Wong

TL;DR
This paper introduces a semantic-aware resource allocation framework for mobile edge computing that reduces delays by optimizing semantic data transmission and processing, outperforming traditional methods.
Contribution
It proposes a novel joint semantic-aware resource allocation model and derives a closed-form solution, improving delay performance in MEC systems.
Findings
Achieves up to 37.10% delay reduction.
Small semantic extraction factors are optimal for large tasks and poor channels.
Transforms a non-convex problem into a convex one for efficient solutions.
Abstract
In this paper, a semantic-aware joint communication and computation resource allocation framework is proposed for mobile edge computing (MEC) systems. In the considered system, each terminal device (TD) has a computation task, which needs to be executed by offloading to the MEC server. To further decrease the transmission burden, each TD sends the small-size extracted semantic information of tasks to the server instead of the large-size raw data. An optimization problem of joint semantic-aware division factor, communication and computation resource management is formulated. The problem aims to minimize the maximum execution delay of all TDs while satisfying energy consumption constraints. The original non-convex problem is transformed into a convex one based on the geometric programming and the optimal solution is obtained by the alternating optimization algorithm. Moreover, the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIoT and Edge/Fog Computing · Brain Tumor Detection and Classification · Age of Information Optimization
