论文标题
压缩还是干扰?
Compress or Interfere?
论文作者
论文摘要
无线医疗设备和网络技术的快速发展促进了远程监控系统的增长。这些新技术使监测患者的病历随时随地可以在不限制患者活动的情况下进行监测。但是,由于需要有效处理并无线传输给服务提供商的大量生成的数据,远程监视系统已经出现了关键挑战。因此,在本文中,我们利用全双工功能来快速传输,同时解决服务质量(QoS)要求和随之而来的自我干扰(SI)之间的权衡,以进行有效的远程监控医疗保健系统。所提出的框架共同考虑了同时传输和接收以及医疗数据的可压缩功能所产生的残留SI,以便通过无线通道优化数据传输,同时保持应用程序的QoS约束。我们的仿真结果证明了提出的解决方案的效率,以最大程度地降低传输功率,残留自我干扰和编码失真的效率。
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.