Group Random Access Control Scheme Based on Asynchronous Advantage Actor Critic 


Vol. 48,  No. 2, pp. 258-265, Feb.  2023
10.7840/kics.2023.48.2.258


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  Abstract

In the cellular Internet of Things (IoT) networks, the networks experience overload problems when a massive group of IoT devices attempts random access (RA) at the same time. In literature, existing schemes have designed RA control schemes based on Deep QLearning (DQN) with the restrictive choice of access class barring factor. Thus, in this paper, we propose the asynchronous advantage actor critic (A3C) based access control scheme for an exact prediction of access class barring factors between 0 and 1. The simulation results show that our proposed scheme outperforms the conventional access control schemes and it also reaches the theoretical performance in terms of total service time with the conventional and early preamble collision detection methods.

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[IEEE Style]

S. Kim and H. S. Jang, "Group Random Access Control Scheme Based on Asynchronous Advantage Actor Critic," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 2, pp. 258-265, 2023. DOI: 10.7840/kics.2023.48.2.258.

[ACM Style]

Su Kim and Han Seung Jang. 2023. Group Random Access Control Scheme Based on Asynchronous Advantage Actor Critic. The Journal of Korean Institute of Communications and Information Sciences, 48, 2, (2023), 258-265. DOI: 10.7840/kics.2023.48.2.258.

[KICS Style]

Su Kim and Han Seung Jang, "Group Random Access Control Scheme Based on Asynchronous Advantage Actor Critic," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 2, pp. 258-265, 2. 2023. (https://doi.org/10.7840/kics.2023.48.2.258)
Vol. 48, No. 2 Index