Compress or Interfere?

Alaa Awad Abdellatif, Lutfi Samara, Amr Mohamed, Abdulla Al-Ali, Aiman Erbad, Mohsen Guizani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Rapid evolution of wireless medical devices and network technologies has fostered the growth of remote monitoring systems. Such new technologies enable monitoring patients' medical records anytime and anywhere without limiting patients' activities. However, critical challenges have emerged with remote monitoring systems due to the enormous amount of generated data that need to be efficiently processed and wirelessly transmitted to the service providers in time. Thus, in this paper, we leverage full-duplex capabilities for fast transmission, while tackling the trade-off between Quality of Service (QoS) requirements and consequent self-interference (SI) for efficient remote monitoring healthcare systems. The proposed framework jointly considers the residual SI resulting from simultaneous transmission and reception along with the compressibility feature of medical data in order to optimize the data transmission over wireless channels, while maintaining the application's QoS constraint. Our simulation results demonstrate the efficiency of the proposed solution in terms of minimizing the transmission power, residual self-interference, and encoding distortion.

Original languageEnglish
Title of host publication2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728112077
DOIs
Publication statusPublished - Jun 2019
Externally publishedYes
Event16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019 - Boston, United States
Duration: 10 Jun 201913 Jun 2019

Publication series

NameAnnual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
Volume2019-June
ISSN (Print)2155-5486
ISSN (Electronic)2155-5494

Conference

Conference16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019
Country/TerritoryUnited States
CityBoston
Period10/06/1913/06/19

Keywords

  • Adaptive compression
  • full-duplex
  • multi-objective optimization
  • remote health monitoring
  • self-interference

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