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- Publisher Website: 10.1109/TCOMM.2022.3186409
- Scopus: eid_2-s2.0-85133591273
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Article: STAR-RIS Aided NOMA in Multicell Networks: A General Analytical Framework With Gamma Distributed Channel Modeling
Title | STAR-RIS Aided NOMA in Multicell Networks: A General Analytical Framework With Gamma Distributed Channel Modeling |
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Authors | |
Keywords | Multi-cell networks non-orthogonal multiple access reconfigurable intelligent surface simultaneous transmission and reflection stochastic geometry |
Issue Date | 2022 |
Citation | IEEE Transactions on Communications, 2022, v. 70, n. 8, p. 5629-5644 How to Cite? |
Abstract | The simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) is capable of providing full-space coverage of smart radio environments. This work investigates STAR-RIS aided downlink non-orthogonal multiple access (NOMA) multi-cell networks, where the energy of incident signals at STAR-RISs is split into two portions for transmitting and reflecting. We first propose a fitting method to model the distribution of composite small-scale fading power as the tractable Gamma distribution. Then, a unified analytical framework based on stochastic geometry is provided to capture the random locations of RIS-RISs, base stations (BSs), and user equipments (UEs). Based on this framework, we derive the coverage probability and ergodic rate of both the typical UE and the connected UE. In particular, we obtain closed-form expressions of the coverage probability in interference-limited scenarios. We also deduce theoretical expressions in conventional RIS aided networks for comparison. The analytical results show that optimal energy splitting coefficients of STAR-RISs exist to simultaneously maximize the system coverage and ergodic rate. The numerical results demonstrate that: 1) STAR-RISs are able to meet different demands of UEs located on different sides; 2) STAR-RISs with appropriate energy splitting coefficients outperform conventional RISs in the coverage and the rate performance. |
Persistent Identifier | http://hdl.handle.net/10722/349745 |
ISSN | 2023 Impact Factor: 7.2 2020 SCImago Journal Rankings: 1.468 |
DC Field | Value | Language |
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dc.contributor.author | Xie, Ziyi | - |
dc.contributor.author | Yi, Wenqiang | - |
dc.contributor.author | Wu, Xuanli | - |
dc.contributor.author | Liu, Yuanwei | - |
dc.contributor.author | Nallanathan, Arumugam | - |
dc.date.accessioned | 2024-10-17T07:00:32Z | - |
dc.date.available | 2024-10-17T07:00:32Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | IEEE Transactions on Communications, 2022, v. 70, n. 8, p. 5629-5644 | - |
dc.identifier.issn | 0090-6778 | - |
dc.identifier.uri | http://hdl.handle.net/10722/349745 | - |
dc.description.abstract | The simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) is capable of providing full-space coverage of smart radio environments. This work investigates STAR-RIS aided downlink non-orthogonal multiple access (NOMA) multi-cell networks, where the energy of incident signals at STAR-RISs is split into two portions for transmitting and reflecting. We first propose a fitting method to model the distribution of composite small-scale fading power as the tractable Gamma distribution. Then, a unified analytical framework based on stochastic geometry is provided to capture the random locations of RIS-RISs, base stations (BSs), and user equipments (UEs). Based on this framework, we derive the coverage probability and ergodic rate of both the typical UE and the connected UE. In particular, we obtain closed-form expressions of the coverage probability in interference-limited scenarios. We also deduce theoretical expressions in conventional RIS aided networks for comparison. The analytical results show that optimal energy splitting coefficients of STAR-RISs exist to simultaneously maximize the system coverage and ergodic rate. The numerical results demonstrate that: 1) STAR-RISs are able to meet different demands of UEs located on different sides; 2) STAR-RISs with appropriate energy splitting coefficients outperform conventional RISs in the coverage and the rate performance. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Communications | - |
dc.subject | Multi-cell networks | - |
dc.subject | non-orthogonal multiple access | - |
dc.subject | reconfigurable intelligent surface | - |
dc.subject | simultaneous transmission and reflection | - |
dc.subject | stochastic geometry | - |
dc.title | STAR-RIS Aided NOMA in Multicell Networks: A General Analytical Framework With Gamma Distributed Channel Modeling | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TCOMM.2022.3186409 | - |
dc.identifier.scopus | eid_2-s2.0-85133591273 | - |
dc.identifier.volume | 70 | - |
dc.identifier.issue | 8 | - |
dc.identifier.spage | 5629 | - |
dc.identifier.epage | 5644 | - |
dc.identifier.eissn | 1558-0857 | - |