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AuthorAbdellatif, Alaa Awad
AuthorSamara, Lutfi
AuthorMohamed, Amr
AuthorAl-Ali, Abdulla
AuthorErbad, Aiman
AuthorGuizani, Mohsen
Available date2020-05-14T09:55:46Z
Publication Date2019
Publication NameAnnual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
ResourceScopus
ISSN21555486
URIhttp://dx.doi.org/10.1109/SAHCN.2019.8824824
URIhttp://hdl.handle.net/10576/14885
AbstractRapid 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. - 2019 IEEE.
SponsorACKNOWLEDGMENT This publication was made possible by NPRP grant # NPRP8-408-2-172 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherIEEE Computer Society
SubjectAdaptive compression
full-duplex
multi-objective optimization
remote health monitoring
self-interference
TitleCompress or Interfere?
TypeConference Paper
Volume Number2019-June


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