Journal
ENTROPY
Volume 24, Issue 11, Pages -Publisher
MDPI
DOI: 10.3390/e24111624
Keywords
urgency of information; information freshness; resource constraints; Lyapunov optimization
Categories
Funding
- National Science Foundation [CNS 2219180]
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This paper explores the optimization of information urgency in an interactive point-to-point system, introducing the concept of UoI and utilizing a Lyapunov optimization framework to propose a new system model and decision strategy. Numerical studies show significant performance improvements compared to benchmark methods.
Applications requiring services from modern wireless networks, such as those involving remote control and supervision, call for maintaining the timeliness of information flows. Current research and development efforts for 5G, Internet of things, and artificial intelligence technologies will benefit from new notions of timeliness in designing novel sensing, computing, and transmission strategies. The age of information (AoI) metric and a recent related urgency of information (UoI) metric enable promising frameworks in this direction. In this paper, we consider UoI optimization in an interactive point-to-point system when the updating terminal is resource constrained to send updates and receive/sense the feedback of the status information at the receiver. We first propose a new system model that involves Gaussian distributed time increments at the receiving end to design interactive transmission and feedback sensing functions and develop a new notion of UoI suitable for this system. We then formulate the UoI optimization with a new objective function involving a weighted combination of urgency levels at the transmitting and receiving ends. By using a Lyapunov optimization framework, we obtain a decision strategy under energy resource constraints at both transmission and receiving/sensing and show that it can get arbitrarily close to the optimal solution. We numerically study performance comparisons and observe significant improvements with respect to benchmarks.
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