@inproceedings{e4588bc471154e6083591062384710b4,
title = "AoI Minimization for Grant-Free Massive Access with Short Packets using Mean-Field Games",
abstract = "Grant-free (GF) access, where channels are accessed without undergoing assignment through a handshake process, is a promising solution to support the massive connectivity for IoT networks. In this paper, we consider uplink GF massive access for an IoT network. IoT devices generate short packets and transmit the generated packets by GF non-orthogonal multiple access (NOMA) communications. To keep the information fresh, we first derive the age of information (AoI) in the GF short-packet communications and then formulate the AoI minimization problem. However, the AoI minimization problem is challenging to solve since the number of users involved is large. To tackle this problem efficiently, we propose a mean-field evolutionary game-based scheme where the average behavior of the IoT nodes will be considered rather than their individual behavior to reduce the complexity. Simulation results verify the effectiveness of the proposed mean-field evolutionary game-based algorithm.",
keywords = "Age of information, Internet-of-Things, grant-free massive access, mean-field game, short-packet",
author = "Hongliang Zhang and Yuhan Kang and Zhu Han and Poor, {H. Vincent}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Global Communications Conference, GLOBECOM 2020 ; Conference date: 07-12-2020 Through 11-12-2020",
year = "2020",
month = dec,
doi = "10.1109/GLOBECOM42002.2020.9348014",
language = "English (US)",
series = "2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings",
address = "United States",
}