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Improvement on Age of Information for Information Update Systems With HARQ Chase Combining and Sensor Harvesting-Transmitting Diversities

机译:具有HARQ Chase组合和传感器收获传输分集的信息更新系统年龄的改进

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摘要

The age of information (AoI) has attracted increasing attentions as a new metric and tool to capture the timeliness of reception and freshness of data, which is different from the conventional metric such as outage, delay, and throughput. While most existing works focused on AoI analysis and optimizing method, the information update system design by utilizing diversity to reduce AoI is not fully exploited so far. Inspired by this fact, a novel information status update system is designed by jointing wireless energy harvesting diversity, status update transmitting diversity, and hybrid automatic repeat request (HARQ). Specially, the update system consists of two sensors that can be seen as an unified entity from the destination’s perspective, and one destination. The two sensors, which have finite-size batteries and synchronously operate in half-duplex mode, harvest energy from a Bernoulli process source, and cooperatively deliver the status update to destination by sharing a common information source. To exploit the information of the unsuccessfully decoding update packet, the HARQ and chase combining (HARQ-CC) are jointly used at destination so that the HARQ-CC receiving diversity is also exploited. By using Bernoulli process energy arrival probability and sensor transmission probability, we first propose one novel sensor energy harvesting and update delivering model that can be represented by Markov Chain (MC) and develop one novel construction method of the transition matrix of sensor battery energy states. Considering the developed energy state transmission matrix column stochastic, irreducible, and aperiodic, we obtain the stationary distribution of sensor battery energy states so that the steady transmitting power is derived. Secondly, the average AoI of the dual-sensor status update system is derived in terms of a closed-form expression by accurately calculating the statistical descriptions of the maximum retransmission number (time) in HARQ-CC and the service time of one packet. The analytical results are validated by using the comparison from simulations. Moreover, compared with traditional single sensor system, the dual-sensor system not only harvests more energy, but also has smaller average AoI because of the joint exploitation of multi-diversity. Besides, the impact of the system parameters on harvested energy and average AoI is provided, which provides insights in terms of the optimal design of Internet of things system.
机译:信息时代(AOI)吸引了越来越多的关注,作为一种新的指标和工具,以捕获接收和数据新鲜度的时间性,这与传统度量不同,例如中断,延迟和吞吐量。虽然大多数现有的作品专注于AOI分析和优化方法,但到目前为止,通过利用多样性来减少AOI的信息更新系统设计并未充分利用。灵感来自这一事实,通过联合无线能量收集多样性,状态更新传输分集和混合自动重复请求(HARQ)来设计一种新颖的信息状态更新系统。特别是,更新系统由两个传感器组成,可以从目的地的角度和一个目的地视为统一的实体。两个传感器,具有有限尺寸的电池并以半双工模式同步操作,从Bernoulli过程源收获能量,并通过共享公共信息源来协同地将状态更新传送到目的地。为了利用未成功解码更新分组的信息,HARQ和CHASE组合(HARQ-CC)在目的地中共同使用,使得HARQ-CC接收分集也被利用。通过使用Bernoulli工艺能量到达概率和传感器传输概率,首先提出了一种新颖的传感器能​​量收集和更新提供的模型,可以由马尔可夫链(MC)表示,并开发传感器电池能量状态过渡矩阵的一种新建方法。考虑到开发的能量状态传输矩阵柱随机,不可挽回和非周期性,我们获得传感器电池能量状态的固定分布,从而导出稳定的发射功率。其次,通过准确地计算HARQ-CC中的最大重传号的统计描述和一个分组的服务时间,通过精确计算闭合形式表达式来导出双传感器状态更新系统的平均AOI。通过使用模拟的比较来验证分析结果。此外,与传统的单传感器系统相比,双传感器系统不仅收获更多能量,而且由于对多样化的联合开发,也具有更小的平均AOI。此外,提供了系统参数对收获能量和平均AOI的影响,为事物互联网的最佳设计提供了见解。

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