在具有多个时间相关的流量流的系统中信息分析的峰值年龄
Varvara Manaeva1, Elena Zhbankova1, Ekaterina Markova1,2
1Department of Probability Theory and Cybersecurity, People's Friendship University of Russia Named After Patrice Lumumba, 115419 Moscow, Russia.
Sensors (Basel, Switzerland)
|March 17, 2025
概括
我们研究了5G蜂系统的信息时代 (PAoI) 峰值,发现虽然服务顺序影响平均PAoI,但最佳PAoI不受影响. 优先考虑一个数据流可以显著降低其他数据流.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 电信 电信服务 电信服务 电信服务
背景情况:
- 工业物联网 (IIoT) 依赖于及时提供数据,以实现远程协调和维护.
- 信息时代 (AoI) 和峰值AoI (PAoI) 对于测量IIoT中的数据新鲜度至关重要.
- 现有的模型往往缺乏批次到达/服务,这对于现代5G系统至关重要.
研究的目的:
- 在排队系统中,在竞争流量中调查单一来源的PAoI性能.
- 分析与5G新无线电相关的批量到达和服务模型.
- 评估各种服务学科对PAoI的影响.
主要方法:
- 模拟了一个蜂式空气接口作为一个离散时间排队系统,有批次到达和服务.
- 利用交换式Poisson过程 (SPP) 来模拟来自多个来源的流量.
- 根据第一到先服务 (FCFS),最后到先服务 (LCFS),随机和以优先级为基础的服务学科检查的绩效.
主要成果:
- 平均PAoI行为因服务纪律而异,但最佳PAoI保持一致.
- 引入一个流程的优先服务可能会不成比例地降低其他流程的性能.
- SPP的相关性质会影响PAoI指标.
结论:
- 不管服务订单如何,都可以实现最佳的PAoI,在调度中提供灵活性.
- 需要仔细考虑优先机制,以避免在共享蜂网络中的性能下降.
- 这些发现为4G/5G系统中状态更新应用程序的数据包调度设计提供了信息.
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