Machine Learning-Based QoS Aware Power Allocation in SISO Broadcast Channels 


Vol. 46,  No. 5, pp. 806-809, May  2021
10.7840/kics.2021.46.5.806


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  Abstract

In recent years, mobile traffic is exploding as various smart devices emerge. As a result, QoS(quality of service) becomes a more important measure in the next generation of wireless communications. In this letter, we propose machine learning-based power allocation considering QoS in simple SISO broadcast channels. Our proposed machine learning model finds the best power allocation considering the QoS of all users for given maximum power budget and channel gains. The numerical results show that our proposed scheme achieves the same performance as the target power allocation scheme, which requires high computational complexity.

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  Cite this article

[IEEE Style]

H. J. Kwon and J. H. Lee, "Machine Learning-Based QoS Aware Power Allocation in SISO Broadcast Channels," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 5, pp. 806-809, 2021. DOI: 10.7840/kics.2021.46.5.806.

[ACM Style]

Hyung Jun Kwon and Jung Hoon Lee. 2021. Machine Learning-Based QoS Aware Power Allocation in SISO Broadcast Channels. The Journal of Korean Institute of Communications and Information Sciences, 46, 5, (2021), 806-809. DOI: 10.7840/kics.2021.46.5.806.

[KICS Style]

Hyung Jun Kwon and Jung Hoon Lee, "Machine Learning-Based QoS Aware Power Allocation in SISO Broadcast Channels," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 5, pp. 806-809, 5. 2021. (https://doi.org/10.7840/kics.2021.46.5.806)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880