Deep Learning-based Spectral Efficiency Maximization in Massive MIMO-NOMA Systems with STAR-RIS
- Authors
- Yoga, Perdana R.H.; Nguyen, T.-V.; Pramitarini, Y.; Shim, K.; An, B.
- Issue Date
- 1-Jan-2023
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Deep learning neural networks; massive MIMO; NOMA; non-convex optimization; phase shift; power allocation; spectral efficiency; STAR-RIS
- Citation
- 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023, pp 644 - 649
- Pages
- 6
- Journal Title
- 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023
- Start Page
- 644
- End Page
- 649
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/31097
- DOI
- 10.1109/ICAIIC57133.2023.10067078
- ISSN
- 0000-0000
- Abstract
- This paper studies a deep learning-based framework for spectral efficiency maximization problem in massive multiple-input multiple-output (MIMO)-non-orthogonal multiple access (NOMA) systems with simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS). We formulate the spectral efficiency maximization with a joint design of power allocation of the users, phase shift matrix of transmission and reflection element at the STAR-RIS. Since the problem is non-convex and power allocation of the users and reflector/transmitter elements at a STAR-RIS are coupled, it is very challenging to solve optimally. We propose a low-complexity iterative algorithm based on the inner approximation (IA) method to solve this problem with guaranteed convergence at a relatively optimal level. For real-time optimization, we design a deep learning (DL) framework to predict the optimal solution of power allocation of users, phase shift matrix of transmission and reflection elements at the STAR-RIS according to distances and channel gains from the base station (BS) to STAR-RIS and from STAR-RIS to users. Simulation results show that the suggested scheme improves the spectral efficiency (SE) compared to the massive MIMO system with direct link and without STAR-RIS. Besides, the DL framework can predict the optimal solution within a short time under the suggested scheme. © 2023 IEEE.
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Collections - Graduate School > Software and Communications Engineering > 1. Journal Articles
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