Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems
Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems
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DOI：
10.1109/jiot.2019.2909198
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发表时间：
2018-11
影响因子：
10.6
通讯作者：
Mark Eisen;M. M. Rashid-M.;Konstantinos Gatsis;D. Cavalcanti;N. Himayat;Alejandro Ribeiro
中科院分区：
文献类型：
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作者：
Mark Eisen;M. M. Rashid-M.;Konstantinos Gatsis;D. Cavalcanti;N. Himayat;Alejandro Ribeiro
我们考虑在无线通信链路上分配无线电资源以控制一系列独立的无线控制系统的问题。低延迟传输对于使具有高采样率的时间敏感的控制系统能够在无线链路上操作是必要的。通过快速数据速率实现低延迟是以可靠性为代价的，其形式是由于信道噪声导致的更高的分组错误率。然而，这种通信链路错误对控制系统性能的影响动态地取决于控制系统状态。我们提出了一种新的控制感知通信设计的低延迟资源分配问题。在我们提出的方法中，我们采用下一代Wi-Fi调度架构，将控制和信道状态信息纳入跨时隙，频带和数据速率的调度传输中。在给定控制周期中更接近不稳定性或更远离期望范围的控制系统被给予要满足的更高分组递送速率目标。而不是一个简单的优先级排名，我们得到精确的自适应误包率目标，每个系统需要满足控制特定的性能要求。我们使用这些自适应速率目标，使调度决策，减少总的传输时间。由此产生的控制感知低延迟调度（CALS）方法进行了测试，在众多的模拟实验，证明其有效性，在严格的延迟约束下，相对于控制不可知的调度，以满足基于控制的目标。
We consider the problem of allocating radio resources over wireless communication links to control a series of independent wireless control systems. Low-latency transmissions are necessary in enabling time-sensitive control systems with high sampling rates to operate over wireless links. Enabling low-latency through fast data rates comes at the cost of reliability in the form of higher packet error rates due to channel noise. However, the impact of such communication link errors on the control system performance depends dynamically on the control system state. We propose a novel control-aware communication design to the low-latency resource allocation problem. In our proposed method, we incorporate both control and channel state information in scheduling transmissions across time slots, frequency bands, and data rates using the next-generation Wi-Fi scheduling architecture. Control systems that are closer to instability or further from a desired range in a given control cycle are given higher packet delivery rate targets to meet. Rather than a simple priority ranking, we derive precise adaptive packet error rate targets for each system needed to satisfy control-specific performance requirements. We use these adaptive rate targets to make scheduling decisions that reduce total transmission time. The resulting control-aware low-latency scheduling (CALLS) method is tested in numerous simulation experiments that demonstrate its effectiveness in meeting control-based goals under tight latency constraints relative to control-agnostic scheduling.