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Optimizing Urgency of Information through Resource Constrained Joint Sensing and Transmission
Zhuoxuan Ju1, Parisa Rafiee1, Omur Ozel1
1Department of Electrical and Computer Engineering, George Washington University, Washington, DC 20052, USA.
Entropy (Basel, Switzerland)
|November 11, 2022
Summary
This study optimizes urgency of information (UoI) for resource-constrained wireless networks. A new Lyapunov optimization framework achieves near-optimal UoI performance, crucial for 5G and IoT applications.
Area of Science:
- Wireless Communication Systems
- Information Theory
- Optimization Theory
Background:
- Modern wireless networks (5G, IoT, AI) demand timely information flows for applications like remote control.
- Existing metrics like Age of Information (AoI) are being extended to better capture timeliness needs.
- Urgency of Information (UoI) offers a promising framework for optimizing data freshness.
Purpose of the Study:
- To optimize the Urgency of Information (UoI) in an interactive point-to-point system with resource-constrained terminals.
- To develop a new UoI notion and system model suitable for interactive feedback sensing under Gaussian time increments.
- To formulate a weighted UoI objective function considering urgency at both ends.
Main Methods:
- Proposed a novel system model incorporating Gaussian time increments for interactive transmission and feedback.
- Developed a new UoI definition tailored to the interactive system.
- Formulated a weighted UoI optimization problem.
- Applied a Lyapunov optimization framework to derive a resource-aware decision strategy.
Main Results:
- A decision strategy was obtained that minimizes weighted UoI under energy constraints for both transmission and reception/sensing.
- The proposed strategy can achieve performance arbitrarily close to the optimal solution.
- Numerical studies demonstrated significant performance improvements over existing benchmarks.
Conclusions:
- The developed Lyapunov optimization framework effectively manages UoI in resource-constrained interactive wireless systems.
- The new UoI notion and optimization approach are beneficial for enhancing timeliness in next-generation networks.
- This work provides a viable strategy for improving data freshness in critical 5G and IoT applications.
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