Xie, Z, Li, X, Zeng, M, Deng, D, Zhang, J, Mumtaz, S ORCID: https://orcid.org/0000-0001-6364-6149 and Nallanathan, A, 2023. Resource allocation for double IRSs assisted wireless powered NOMA networks. IEEE Wireless Communications Letters. ISSN 2162-2337
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Abstract
We consider an intelligent reflecting surface (IRS)-aided wireless-powered non-orthogonal multiple access (NOMA) network, in which double IRSs are adopted to boost the communication between the transmitter and receiver. We split the overall process into two phases: i) downlink wireless energy transmission (WET) in the first phase and ii) uplink wireless information transmission (WIT) in the second phase. Compared with the existing works, the double IRSs scheme is considered due to obstacles or deep shadowing between the transmitter and receiver. Specifically, we propose a scheme to maximize the sum rate by jointly optimizing the time allocation and phase shift matrices in these two phases. The optimization problem is non-trivial because of the coupling of multiple variables and the constraint of phase shift. An alternative optimization algorithm is adopted to surmount the objective step by step. The WET phase shift matrices are first obtained under given WIT phase shift matrices, and then vice versa. Numerical analysis proves the validity of the proposed scheme in increasing the sum rate and the effectiveness of double IRSs.
Item Type: | Journal article |
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Publication Title: | IEEE Wireless Communications Letters |
Creators: | Xie, Z., Li, X., Zeng, M., Deng, D., Zhang, J., Mumtaz, S. and Nallanathan, A. |
Publisher: | Institute of Electrical and Electronics Engineers |
Date: | 14 February 2023 |
ISSN: | 2162-2337 |
Identifiers: | Number Type 10.1109/lwc.2023.3244997 DOI 1734651 Other |
Rights: | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Divisions: | Schools > School of Science and Technology |
Record created by: | Jonathan Gallacher |
Date Added: | 21 Feb 2023 10:38 |
Last Modified: | 21 Feb 2023 10:38 |
URI: | https://irep.ntu.ac.uk/id/eprint/48375 |
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