压缩还是中断？
Compress or Interfere?
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发展。这些新技术可以随时随地监控患者的医疗记录，而不会限制患者的活动。然而，由于大量生成的数据需要被有效地处理并及时无线传输到服务提供商，因此远程监控系统面临着严峻的挑战。因此，在本文中，我们利用全双工功能进行快速传输，同时解决服务质量（QoS）要求和随之而来的自干扰（SI）之间的权衡，以实现高效的远程监控医疗系统。所提出的框架共同考虑的剩余SI同时发送和接收所产生的医疗数据的压缩性特征，以优化数据传输通过无线信道，同时保持应用程序的QoS约束。我们的仿真结果表明，所提出的解决方案的效率，最大限度地减少传输功率，剩余自干扰，和编码失真。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
