A dynamic resource allocation method for downlink MC-NOMA with imperfect CSI

Xinshui Wang; Ke Meng; Xu Wang; Jimin Ge

doi:10.1117/12.3004732

20 October 2023 A dynamic resource allocation method for downlink MC-NOMA with imperfect CSI

Xinshui Wang, Ke Meng, Xu Wang, Jimin Ge

Proceedings Volume 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023); 1291611 (2023) https://doi.org/10.1117/12.3004732
Event: Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 2023, Kunming, China

Abstract

For the case of imperfect channel state information (CSI) in the downlink multi-carrier non-orthogonal multiple access (MC-NOMA) scenario, we propose a dynamic resource allocation method, which is committed to maximizing the sum rate of users in the NOMA scenario and maximizing the efficiency of the NOMA system performance. We decompose the combinatorial optimization problem, and first derive the closed-form of power allocation under one single subchannel. According to this result, we use a deep reinforcement learning (DRL) method to solve the exhaustive problem of user pairing, and propose a user pairing algorithm. Simulation results show that our method is more efficient and accurate than traditional methods.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinshui Wang, Ke Meng, Xu Wang, and Jimin Ge "A dynamic resource allocation method for downlink MC-NOMA with imperfect CSI", Proc. SPIE 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 1291611 (20 October 2023); https://doi.org/10.1117/12.3004732

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