TY - GEN
T1 - Compress or Interfere?
AU - Abdellatif, Alaa Awad
AU - Samara, Lutfi
AU - Mohamed, Amr
AU - Al-Ali, Abdulla
AU - Erbad, Aiman
AU - Guizani, Mohsen
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - 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.
AB - 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.
KW - Adaptive compression
KW - full-duplex
KW - multi-objective optimization
KW - remote health monitoring
KW - self-interference
UR - http://www.scopus.com/inward/record.url?scp=85073024583&partnerID=8YFLogxK
U2 - 10.1109/SAHCN.2019.8824824
DO - 10.1109/SAHCN.2019.8824824
M3 - Conference contribution
AN - SCOPUS:85073024583
T3 - Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
BT - 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019
PB - IEEE Computer Society
T2 - 16th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2019
Y2 - 10 June 2019 through 13 June 2019
ER -