论文标题
实时状态的自适应能力和费率控制通过褪色渠道更新
Adaptive Power and Rate Control for Real-time Status Updating over Fading Channels
论文作者
论文摘要
信息时代（AOI）最近由于其表征信息的新鲜感而引起了很多关注。为了改善褪色通道的新鲜度，高效的调度方法非常需要无线传输。但是，由于渠道的不稳定性和到达随机性，优化AOI非常具有挑战性。在本文中，我们对缓冲区感知系统中具有自适应的传输方案的AOI最佳传输感兴趣。更具体地说，我们利用一种概率调度方法来最大程度地减少AOI，同时满足平均功率约束。通过使用约束的马尔可夫决策过程（CMDP）来表征概率调度策略，我们制定了线性编程（LP）问题。此外，提出了低复杂性算法以获得最佳的调度策略，该策略被证明属于一组基于半阈值的策略。数值结果验证了计算复杂性的降低和基于半阈值的策略的最佳性，这表明我们可以以低计算的复杂性来实现良好的实时服务。
Age of Information (AoI) has attracted much attention recently due to its capability of characterizing the freshness of information. To improve information freshness over fading channels, efficient scheduling methods are highly desired for wireless transmissions. However, due to the channel instability and arrival randomness, optimizing AoI is very challenging. In this paper, we are interested in the AoI-optimal transmissions with rate-adaptive transmission schemes in a buffer-aware system. More specifically, we utilize a probabilistic scheduling method to minimize the AoI while satisfying an average power constraint. By characterizing the probabilistic scheduling policy with a Constrained Markov Decision Process (CMDP), we formulate a Linear Programming (LP) problem. Further, a low complexity algorithm is presented to obtain the optimal scheduling policy, which is proved to belong to a set of semi-threshold-based policies. Numerical results verify the reduction in computational complexity and the optimality of semi-threshold-based policy, which indicates that we can achieve well real-time service with a low calculating complexity.
