基于峰值信息年龄违背概率的双模通信计量网络确定性时延性能优化研究

陈智雄; 颜宇豪; 周振宇

doi:10.12263/DZXB.20250501

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基于峰值信息年龄违背概率的双模通信计量网络确定性时延性能优化研究

学术论文 | 更新时间：2026-04-24

- 基于峰值信息年龄违背概率的双模通信计量网络确定性时延性能优化研究
- Research on Deterministic Delay Performance Optimization of Dual-Mode Communication Metering Network Based on Peak AoI Violation Probability
- 电子学报 2025年53卷第12期页码：4394-4407
- 作者机构：
  
  1.华北电力大学电子与通信工程系，河北保定 071003
  2.华北电力大学河北省电力物联网技术重点实验室，河北保定 071003
  3.华北电力大学电力物联智慧化技术河北省工程研究中心，河北保定 071003
- 作者简介：
  
  [ "陈智雄男，1983年8月出生于福建省莆田市.现为华北电力大学电子与通信工程系副教授、硕士生导师.主要研究方向为电力系统通信与信息处理、无线通信等.E-mail: zxchen@ncepu.edu.cn" ]
  [ "颜宇豪男，2002年7月出生于重庆市.现为华北电力大学电子与通信工程系硕士研究生.主要研究方向为电力系统通信.E-mail: yyhjadu@163.com" ]
  [ "周振宇男，1983年出生于河北省张家口市.现为华北电力大学教授、博士生导师.主要研究方向为智能电网信息通信技术、多模态电力物联网技术等.中国电子学会会员编号：E190020832S.E-mail: zhenyu_zhou@ncepu.edu.cn" ]
- 基金信息：
  
  国家自然科学基金(61601182);中央高校科研业务费专项资金(2023MS113)
- DOI：10.12263/DZXB.20250501
  中图分类号： TN91;TM73
- 收稿：2025-06-10，
  
  录用：2025-12-01，
  
  纸质出版：2025-12-25
- 稿件说明：
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陈智雄, 颜宇豪, 周振宇. 基于峰值信息年龄违背概率的双模通信计量网络确定性时延性能优化研究[J]. 电子学报, 2025, 53(12): 4394-4407.

CHEN Zhi-xiong, YAN Yu-hao, ZHOU Zhen-yu. Research on Deterministic Delay Performance Optimization of Dual-Mode Communication Metering Network Based on Peak AoI Violation Probability[J]. Acta Electronica Sinica, 2025, 53(12): 4394-4407.
陈智雄, 颜宇豪, 周振宇. 基于峰值信息年龄违背概率的双模通信计量网络确定性时延性能优化研究[J]. 电子学报, 2025, 53(12): 4394-4407. DOI：10.12263/DZXB.20250501

CHEN Zhi-xiong, YAN Yu-hao, ZHOU Zhen-yu. Research on Deterministic Delay Performance Optimization of Dual-Mode Communication Metering Network Based on Peak AoI Violation Probability[J]. Acta Electronica Sinica, 2025, 53(12): 4394-4407. DOI：10.12263/DZXB.20250501

摘要

基于电力线通信（Power Line Communication，PLC）和无线通信的双模通信技术兼具覆盖广、可靠性高与接入灵活等优势，可显著提升数据传输的可靠性、速率与时延等性能，在计量网络通信等场景中受到广泛关注.但是实际应用中，双模媒体接入控制（Media Access Control，MAC）算法、突发业务流量以及混合信道衰落等算法及参数都会影响计量网络的时延等性能，使得系统时延边界性能的理论分析和计算面临较大挑战.为解决双模双媒质多参数条件下确定性时延分析难题，提出了一种基于峰值信息年龄违背概率（Peak Age of information Violation Probability，PAVP）的双模通信网络确定性时延性能计算和优化方法，为计量网络的时效性保障提供新思路.首先，针对计量网络周期业务与突发业务共存的特点，建立联合突发流量和周期流量的混合到达模型，接着考虑双模信道混合衰落、基于超帧的MAC层混合接入算法和业务优先级构建跨层服务模型.在此基础上，利用随机网络演算（Stochastic Network Calculus，SNC）理论，基于矩生成函数（Moment Generating Function，MGF）和最大加代数推导了双模通信网络PAVP的理论上界，实现对随机到达与随机服务系统的时延边界性能的计算和分析.考虑队列稳定性和功率约束条件，建立连续数据包的功率优化模型，并利用李雅普诺夫算法将时间平均优化问题转换为与当前时隙队列和峰值信息年龄（Peak Age of Information，PAoI）相关的实时优化问题，从而实现节点和信道发射功率的动态优化分配.最后，通过系统仿真分析采样周期、混合流量强度、设备数量、PAoI阈值以及MAC竞争窗口等关键环节和参数对系统时延边界性能的影响.结果表明，混合流量条件下存在最优采样周期使系统时延边界性能达到最优；当双模节点数量超过20个时，MAC层接入算法成为时延性能主要影响因素；对比单模通信和双模固定参数条件，基于李雅普诺夫算法的功率优化能够进一步提升系统时延边界性能，提升数据传输实时性.相关结论为双模通信在智能计量网络的工程应用提供了理论基础和技术参考.

Abstract

Dual-mode communication technology

based on both power line communication (PLC) and wireless communication

offers advantages such as extensive coverage

high reliability

and flexible access. It can significantly enhance the reliability

rate

and latency of data transmission

garnering considerable attention in scenarios such as metering network communications. However

in practical applications

factors such as dual-mode media access control (MAC) algorithms

burst traffic

and hybrid channel fading significantly impact the latency and other performance characteristics of metering networks. This poses considerable challenges for the theoretical analysis and computation of system latency boundary performance. To address the challenge of deterministic delay analysis under dual-mode

dual-medium

multi-parameter conditions

this paper proposes a deterministic delay performance calculation and optimization method for dual-mode communication networks based on peak age of information violation probability (PAVP). This offers a novel approach to ensuring timeliness in metrology networks. First

addressing the coexistence of periodic and burst traffic in metrology networks

a hybrid arrival model combining burst and periodic flows is established. Subsequently

a cross-layer service model is constructed considering dual-mode channel hybrid fading

superframe-based MAC layer hybrid access algorithms

and traffic prioritization. Building upon this foundation

stochastic network calculus (SNC) theory is employed to derive the theoretical upper bound for PAVP in dual-mode communication networks. This is achieved through moment generating functions (MGF) and maximum addition algebra

enabling the calculation and analysis of delay bound performance for systems with random arrivals and random services. Considering queue stability and power constraints

a power optimization model for continuous packets is established. The Lyapunov algorithm transforms the time-averaged optimization problem into a real-time optimization problem related to the current time slot queue and peak age of information (PAoI)

thereby achieving dynamic optimization allocation of node and channel transmission power. Finally

system simulations analyze the impact of key parameters—including sampling period

mixed traffic intensity

device count

PAoI threshold

and MAC contention window—on delay bound performance. Results indicate an optimal sampling period exists under mixed traffic conditions to maximize delay bound performance. When dual-mode nodes exceed 20

the MAC layer access algorithm becomes the primary determinant of delay performance. Compared to single-mode communication and dual-mode fixed-parameter conditions

power optimization based on the Lyapunov algorithm further enhances the system’s delay boundary performance

improving data transmission real-time capability. These findings provide a theoretical foundation and technical reference for the engineering application of dual-mode communication in smart metering networks.

关键词

Keywords

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