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Robust Transmission Scheduling and Power Control for Dynamic Wireless Access in a Hospital Environment

机译:用于医院环境中动态无线访问的鲁棒传输调度和功率控制

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We propose a robust optimization framework for the multiple-access problem in a hospital environment. The users of e-Health applications (referred to as secondary users) coexist with active and passive medical devices (referred to as primary and protected users, respectively) under uncertainty in the channel (i.e. propagation) conditions. In particular, we design robust transmission scheduling and power control methods for secondary users in multiple spatial reuse time-division multiple access (STDMA) networks. The objective of the optimization framework is to maximize the spectrum utilization of secondary users and minimize their power consumption subject to the electromagnetic interference constraints for primary and protected users. In this framework, we model the channel uncertainty as ellipsoidal uncertainty sets and the transmission scheduling and power control are optimized taking this uncertainty into account. Numerical results show that the proposed framework can achieve robust scheduling and power control against channel variations. By adjusting the robustness parameter (i.e. the degree of conservatism), we can balance the tradeoff between robustness and spectrum utilization.
机译:我们为医院环境中的多路访问问题提出了一个健壮的优化框架。在通道(即传播)条件不确定的情况下,电子医疗应用程序的用户(称为二级用户)与主动和被动医疗设备(分别称为主要用户和受保护的用户)共存。特别是,我们为多个空间复用时分多址(STDMA)网络中的次要用户设计了鲁棒的传输调度和功率控制方法。优化框架的目标是在受到主要用户和受保护用户的电磁干扰约束的情况下,最大程度地提高次要用户的频谱利用率,并将其功耗降至最低。在此框架中,我们将信道不确定性建模为椭圆形不确定性集,并在考虑了该不确定性的情况下优化了传输调度和功率控制。数值结果表明,所提出的框架能够针对信道变化实现鲁棒的调度和功率控制。通过调整鲁棒性参数(即保守程度),我们可以在鲁棒性和频谱利用率之间进行权衡。

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