Design of STAR-RIS Assisted Uplink NOMA for Maximum Fairness
To support massive connectivity with full service coverage, this paper integrates a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) into uplink non-orthogonal multiple access (NOMA). In particular, the energy splitting (ES) protocol of STAR-RIS is considered, leading to two types of NOMA: ES/NOMA, which simultaneously supports all users in the transmitting and reflecting spaces of the STAR-RIS and ES/hybrid NOMA (H-NOMA), which supports multiple ES/NOMA pairs in time division multiple access (TDMA). To maximize rate fairness, we develop STAR-RIS beamforming and resource allocation algorithms for ES/NOMA and ES/H-NOMA, along with a globally optimal solution and a closed-form solution for two-user ES/NOMA. The proposed ES/NOMA algorithm achieves faster computation than conventional alternating optimization. The proposed ES/H-NOMA algorithm significantly reduces the complexity of ES/NOMA by using a closed-form solution for two-user ES/NOMA and designing a faster user assignment algorithm with optimal time allocation. The simulation results validate the algorithms and analysis for ES/NOMA and ES/H-NOMA and demonstrate their superiority over the time-switching NOMA and TDMA protocols.
Authors
- Jinho Choi (ORCID: https://orcid.org/0000-0002-4895-6680)
- Luiggi Cantos (ORCID: https://orcid.org/0000-0001-5954-1061)
- Mubasher Ahmed Khan (ORCID: https://orcid.org/0000-0001-8035-8376)
- Muhammad Rehman (ORCID: https://orcid.org/0009-0001-2559-3389)
- Hamza Ahmed Qureshi (ORCID: https://orcid.org/0009-0009-5337-910X)
- Noureen Khan (ORCID: https://orcid.org/0009-0001-8813-1712)
- Yun Hee Kim (ORCID: https://orcid.org/0000-0003-1013-7046)
Institutions
- Kyung Hee University (KR)
- The University of Adelaide (AU)
Publication Details
- Journal
- IEEE Transactions on Vehicular Technology
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1109/tvt.2024.3498842
- Citations
- 3
- Primary Topic
- Advanced Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.63