论文标题
HARQ优化无线网络控制中的实时远程估计
HARQ Optimization for Real-Time Remote Estimation in Wireless Networked Control
论文作者
论文摘要
本文分析了无线网络控制,以远程估计各种混合自动重复请求(HARQ)数据包重新启动方案下的线性时间不变动态系统。在传统的HARQ中,数据包可靠性随其他数据包逐渐提高。但是,每次重传都最大地增加了信息的年龄,并导致估计平方误差(MSE)性能导致严重降解。我们通过允许部分重新启动逐渐提高数据包可靠性并限制AOI增长来优化标准HARQ方案。在增量冗余HARQ中,我们优化了重传时间,以提早到达下一个状态更新。在结合HARQ的Chase中,由于数据包长度保持固定,因此我们允许使用非正交信号在一个时间插槽中重新启动和新更新。非正交转录提高了数据包的可靠性,而无需延迟新更新。我们通过基于MSE的成本函数和标准长期平均MSE成本功能的拟议方差来制定双目标优化,以确保短期性能稳定性。使用马尔可夫决策过程公式,我们发现拟议的HARQ方案下的最佳静态和动态策略进一步提高了MSE性能。仿真结果表明,与基于HARQ的标准策略相比,拟议的基于HARQ的政策更强大,并取得更好,更稳定的MSE绩效。
This paper analyzes wireless network control for remote estimation of linear time-invariant dynamical systems under various Hybrid Automatic Repeat Request (HARQ) packet retransmission schemes. In conventional HARQ, packet reliability increases gradually with additional packets; however, each retransmission maximally increases the Age of Information and causes severe degradation in estimation mean squared error (MSE) performance. We optimize standard HARQ schemes by allowing partial retransmissions to increase the packet reliability gradually and limit the AoI growth. In incremental redundancy HARQ, we optimize the retransmission time to enable the early arrival of the next status updates. In Chase combining HARQ, since packet length remains fixed, we allow retransmission and new updates in a single time slot using non-orthogonal signaling. Non-orthogonal retransmissions increase packet reliability without delaying the fresh updates. We formulate bi-objective optimization with the proposed variance of the MSE-based cost function and standard long-term average MSE cost function to guarantee short-term performance stability. Using the Markov decision process formulation, we find the optimal static and dynamic policies under the proposed HARQ schemes to improve MSE performance further. The simulation results show that the proposed HARQ-based policies are more robust and achieve significantly better and more stable MSE performance than standard HARQ-based policies.