Zhang, Chao and Yi, Wenqiang and Liu, Yuanwei and Ma, Zheng and Zhang, Xingqi (2024) NOMA for Multi-Cell RIS Networks: A Stochastic Geometry Model. IEEE Transactions on Wireless Communications, 23 (8). pp. 10398-10413. DOI https://doi.org/10.1109/TWC.2024.3371777
Zhang, Chao and Yi, Wenqiang and Liu, Yuanwei and Ma, Zheng and Zhang, Xingqi (2024) NOMA for Multi-Cell RIS Networks: A Stochastic Geometry Model. IEEE Transactions on Wireless Communications, 23 (8). pp. 10398-10413. DOI https://doi.org/10.1109/TWC.2024.3371777
Zhang, Chao and Yi, Wenqiang and Liu, Yuanwei and Ma, Zheng and Zhang, Xingqi (2024) NOMA for Multi-Cell RIS Networks: A Stochastic Geometry Model. IEEE Transactions on Wireless Communications, 23 (8). pp. 10398-10413. DOI https://doi.org/10.1109/TWC.2024.3371777
Abstract
This paper investigates reconfigurable intelligent surface (RIS) aided multi-cell non-orthogonal multiple access (NOMA) networks with stochastic geometry methods. Under Rayleigh and Nakagami-m fading channels, we provide two types of approximate channel models to depict RIS channels, i.e., the N-fold convolution model and the curve fitting model. The analysis reveals that the N-fold convolution model is accurate and tractable when ignoring inter-cell interference, while the curve fitting model can evaluate the impact of inter-cell interference with a small error. The N-fold convolution model provides accurate diversity orders compared to other existing approaches such as the central limit model. Based on these channel models, we derive the closed-form analytical and asymptotic expressions of coverage probabilities and ergodic rates for two paired NOMA users. The analytical results demonstrate that: i) When we ignore inter-cell interference, the diversity order of the typical user is equal to the number of Rayleigh fading channels; and ii) For Nakagami-m fading channels with coefficient m , the diversity order is equal to m times of the channel number. Numerical results show that: i) RISs are capable of enhancing the coverage performance and ergodic rates of the proposed network; and ii) RISs provide extra flexibility for NOMA decoding orders.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Multi-cell NOMA; reconfigurable intelligent surface; stochastic geometry |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 20 Mar 2024 15:41 |
Last Modified: | 30 Oct 2024 17:40 |
URI: | http://repository.essex.ac.uk/id/eprint/37883 |
Available files
Filename: 1. Pure -- NOMA for Multi-Cell RIS Networks A Stochastic Geometry Model.pdf