北京邮电大学学报

  • EI核心期刊

北京邮电大学学报

• •    

NOMA-MEC状态更新系统信息年龄性能分析

刘磊,强静州,张雪薇,江帆,王军选   

  1. 西安邮电大学
  • 收稿日期:2023-10-09 修回日期:2023-11-27 发布日期:2024-06-25
  • 通讯作者: 江帆
  • 基金资助:
    国家自然科学基金项目;国家自然科学基金项目;国家自然科学基金项目;陕西省重点研发计划工业领域项目;陕西省自然科学基础研究计划

On the Age of Information in NOMA-MEC based Status Update Systems

  • Received:2023-10-09 Revised:2023-11-27 Published:2024-06-25

摘要: 信息新鲜度对状态更新系统的决策准确和可靠运行至关重要。为了刻画基于非正交多址接入(NOMA)的移动边缘计算(MEC)状态更新系统的信息新鲜度,研究了用户将状态更新信息放置于本地计算与卸载至边缘计算两种场景下的信息年龄(AoI)。首先,利用排队论对状态更新信息的传输过程和计算过程进行队列建模。其次,分析了取决于NOMA无线传输质量的传输队列服务速率,并在传输队列与计算队列相互关联的条件下推导得出了系统平均AoI的解析表达式。蒙特卡洛仿真验证了所得理论分析结果的有效性;表明了相较于正交多址接入(OMA),在服务器计算速率配置较高的情况下使用NOMA-MEC可更为显著地改善系统AoI性能;此外,通过仿真对比展示了服务器计算速率、状态更新信息尺寸和用户传输功率等参数对系统AoI性能的影响。

关键词: 非正交多址接入, 移动边缘计算, 信息年龄, 状态更新系统

Abstract: The freshness of information is crucial to the accurate decision-making and reliable operation of the status update system. In order to characterize the information freshness of a non-orthogonal multiple access (NOMA) based status update system with mobile edge computing (MEC), the age of information (AoI) has been investigated while taking into account both the local and the edge computing schemes. First, queuing theory is utilized to mimic the transmission and computation of status update information. Then, the service rate of transmission queue, which hinges on the quality of NOMA transmission, is analyzed, and closed-form expressions for the system average AoI are derived. Monte Carlo simulations verify the validity of the obtained analytical results. It follows from the simulation results that compared to orthogonal multiple access (OMA), the system AoI performance can be enhanced more dramatically by applying NOMA-MEC with higher server computation rate. In addition, simulation results demonstrate the effects of the system parameters, such as server computation rate, status update information size, and transmission power, on the AoI performance.

Key words: non-orthogonal multiple access, mobile edge computing, age of information, status update system

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