Wireless Data Acquisition for Edge Learning: Importance-Aware Retransmission

Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

By deploying machine learning algorithms at the network edge, edge learning recently emerges as a promising framework to support intelligent mobile services. It effectively leverages the rich data collected by abundant mobile devices, and exploits the proximate edge computing resource for low-latency execution. Edge learning crosses two disciplines, machine learning and wireless communication, and thereby gives rise to many new research issues. In this paper, we address a wireless data acquisition problem, which involves a retransmission decision in each communication round to optimize the data quality-vs-quantity tradeoff. A new retransmission protocol called importance-aware automatic-repeat-request (importance ARQ) is proposed. Unlike classic ARQ focusing merely on reliability, importance ARQ selectively retransmits a data sample based on its uncertainty that can be measured using the model under training. Underpinning the proposed protocol is an elegant communication-learning relation between two corresponding metrics, i.e., signal-to-noise ratio (SNR) and data uncertainty. This new relation facilitates the design of a simple threshold based policy for retransmission decisions. As demonstrated via experiments with real datasets, the proposed method avoids learning performance degradation caused by channel noise while achieving faster convergence than conventional SNR-based ARQ.

Original languageEnglish
Title of host publication2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538665282
DOIs
Publication statusPublished - 2 Jul 2019
Event20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019 - Cannes, France
Duration: 2 Jul 20195 Jul 2019

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2019-July

Conference

Conference20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
Country/TerritoryFrance
CityCannes
Period2/07/195/07/19

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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