Optimizing the Age of Information in Mixed-Critical Wireless Communication Networks

التفاصيل البيبلوغرافية
العنوان: Optimizing the Age of Information in Mixed-Critical Wireless Communication Networks
المؤلفون: Reifert, Robert-Jeron, Roth, Stefan, Sezgin, Aydin
المصدر: ICC 2023 - IEEE International Conference on Communications
سنة النشر: 2022
المجموعة: Computer Science
Mathematics
مصطلحات موضوعية: Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
الوصف: Beyond fifth generation wireless communication networks (B5G) are applied in many use-cases, such as industrial control systems, smart public transport, and power grids. Those applications require innovative techniques for timely transmission and increased wireless network capacities. Hence, this paper proposes optimizing the data freshness measured by the age of information (AoI) in dense internet of things (IoT) sensor-actuator networks. Given different priorities of data-streams, i.e., different sensitivities to outdated information, mixed-criticality is introduced by analyzing different functions of the age, i.e., we consider linear and exponential aging functions. An intricate non-convex optimization problem managing the physical transmission time and packet outage probability is derived. Such problem is tackled using stochastic reformulations, successive convex approximations, and fractional programming, resulting in an efficient iterative algorithm for AoI optimization. Simulation results validate the proposed scheme's performance in terms of AoI, mixed-criticality, and scalability. The proposed non-orthogonal transmission is shown to outperform an orthogonal access scheme in various deployment cases. Results emphasize the potential gains for dense B5G empowered IoT networks in minimizing the AoI.
Comment: 6 pages, 5 figures. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
نوع الوثيقة: Working Paper
DOI: 10.1109/ICC45041.2023.10279561
URL الوصول: http://arxiv.org/abs/2211.05797
رقم الأكسشن: edsarx.2211.05797
قاعدة البيانات: arXiv
الوصف
DOI:10.1109/ICC45041.2023.10279561