Balancing Age and Latency in MEC networks with Short Packet Communications
Liu, Lei Jin, Wenkai Qiang, Jingzhou Jiang, Fan Mumtaz, Shahid Guizani, Mohsen
Liu, Lei
Jin, Wenkai
Qiang, Jingzhou
Jiang, Fan
Mumtaz, Shahid
Guizani, Mohsen
Supervisor
Department
Machine Learning
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Type
Journal article
Date
2025
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Language
English
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Abstract
Information age and latency are of both vital importance for providing interactive system operation and immersive user experience. In this paper, we wrestle with the challenge of balancing information age and latency in mobile edge computing (MEC) networks with short packet communications. Specifically, we derive analytical expressions for the average peak age of information (PAoI) and average latency in terms of the blocklength, offloading ratio, and maximum allowable transmission times. In order to strike a performance tradeoff, we devise an algorithm to minimize the weighted sum of average PAoI and average latency. Simulation results demonstrate that our solution aligns with the PAoI-latency Pareto front, matching the performance of high-complexity exhaustive search while outperforming comparative baseline methods across diverse local and edge computing frequency.
Citation
L. Liu, W. Jin, J. Qiang, F. Jiang, S. Mumtaz and M. Guizani, "Balancing Age and Latency in MEC networks with Short Packet Communications," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2025.3623446.
Source
IEEE Transactions on Vehicular Technology
Conference
Keywords
Peak Age of Information (PAoI), Latency, Mobile Edge Computing (MEC), Short Packet Communications
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Publisher
IEEE