Reinforcement Learning-Based Joint Resource Allocation for OFDM MU-MIMO Systems 


Vol. 51,  No. 2, pp. 248-257, Feb.  2026
10.7840/kics.2026.51.2.248


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  Abstract

Efficient resource allocation in orthogonal frequency-division multiplexing (OFDM) with multi-user multiple-input multiple-output (MU-MIMO) is crucial for improving link quality in next-generation cellular systems. However

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[IEEE Style]

W. W. Ro, Y. G. Ji, J. Y. P. a. K. W. Choi, "Reinforcement Learning-Based Joint Resource Allocation for OFDM MU-MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 51, no. 2, pp. 248-257, 2026. DOI: 10.7840/kics.2026.51.2.248.

[ACM Style]

Won Woo Ro, Young Gun Ji, and Ji Yeon Park and Kae Won Choi. 2026. Reinforcement Learning-Based Joint Resource Allocation for OFDM MU-MIMO Systems. The Journal of Korean Institute of Communications and Information Sciences, 51, 2, (2026), 248-257. DOI: 10.7840/kics.2026.51.2.248.

[KICS Style]

Won Woo Ro, Young Gun Ji, Ji Yeon Park and Kae Won Choi, "Reinforcement Learning-Based Joint Resource Allocation for OFDM MU-MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 51, no. 2, pp. 248-257, 2. 2026. (https://doi.org/10.7840/kics.2026.51.2.248)
Vol. 51, No. 2 Index