Timeliness of Information for Computation-intensive Status Updates in Task-oriented Communications

@article{Qin2022TimelinessOI,
  title={Timeliness of Information for Computation-intensive Status Updates in Task-oriented Communications},
  author={Xiaoqi Qin and Yanlin Li and Xianxin Song and Nan Ma and Chuan Xiu Huang and Ping Zhang},
  journal={ArXiv},
  year={2022},
  volume={abs/2209.13259}
}
—Moving beyond just interconnected devices, the increasing interplay between communication and computation has fed the vision of real-time networked control systems. To obtain timely situational awareness, IoT devices continuously sample computation-intensive status updates, generate perception tasks and offload them to edge servers for processing. In this sense, the timeliness of information is considered as one major contextual attribute of status updates. In this paper, we derive the closed… 

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References

SHOWING 1-10 OF 35 REFERENCES

Semantics-Empowered Communication for Networked Intelligent Systems

This work envisions a communication paradigm shift, which makes the semantics of information the foundation of the communication process, and shows significant reduction in both reconstruction error and cost of actuation error, as well as in the number of uninformative samples generated.

Peak Age of Information Distribution for Edge Computing With Wireless Links

This work model the communication and computation delay of such a system as two First Come First Serve (FCFS) queues in tandem, analytically deriving the full distribution of the PAoI for the tandems, which can represent a wide variety of realistic scenarios.

Age-of- Information for Computation- Intensive Messages in Mobile Edge Computing

Simulation results show that there exists an optimal transmission rate so that remote computing is better than local computing for a largest range and the region where remote computing outperforms local computing is characterized.

Real-time status: How often should one update?

A time-average age metric is employed for the performance evaluation of status update systems and the existence of an optimal rate at which a source must generate its information to keep its status as timely as possible at all its monitors is shown.

Optimizing Information Freshness in Computing-Enabled IoT Networks

An analytical framework is developed to investigate the information freshness, in terms of peak age of information (PAoI), of a computing-enabled IoT system with multiple sensors, and a derivative-free algorithm is designed to find the optimal updating frequency.

Semantic Communications in Networked Systems

It is argued that research efforts must focus on laying the theoretical foundations of a redesign of the entire process of information generation, transmission and usage in unison by developing advanced semantic metrics for communications and control systems.

Optimizing Information Freshness Through Computation–Transmission Tradeoff and Queue Management in Edge Computing

Analysis of an edge computing system as two queues in tandem whose service times are independent but the transmission service time is monotonically dependent on the computation service time in mean value to reveal a consequent tradeoff between average AoI and average peak AoI.

Age of Information: An Introduction and Survey

The current state of the art in the design and optimization of low-latency cyberphysical systems and applications in which sources send time-stamped status updates to interested recipients is described and AoI timeliness metrics are described.

Effect of Message Transmission Path Diversity on Status Age

A system in which a sensor sends random status updates over a dynamic network to a monitor is studied, and an approximation that is shown to be close to the simulated age of the status age is provided.

Latency Optimization for Resource Allocation in Mobile-Edge Computation Offloading

The novel partial compression offloading model can significantly reduce the end-to-end latency in a multi-user time-division multiple access MECO system with joint communication and computation resource allocation.