Main parameters for our simulations [59].
<div><p>This paper presents a comprehensive performance analysis of a downlink non-orthogonal multiple access (NOMA) network assisted by an active reconfigurable intelligent surface (ARIS) in a cognitive spectrum-sharing scenario. Unlike conventional passive RIS (PRIS), the ARIS can both...
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2025
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| _version_ | 1849927626267820032 |
|---|---|
| author | Minh Tran (7698803) |
| author2 | Minh Bui Vu (22683661) Sang Quang Nguyen (22683664) |
| author2_role | author author |
| author_facet | Minh Tran (7698803) Minh Bui Vu (22683661) Sang Quang Nguyen (22683664) |
| author_role | author |
| dc.creator.none.fl_str_mv | Minh Tran (7698803) Minh Bui Vu (22683661) Sang Quang Nguyen (22683664) |
| dc.date.none.fl_str_mv | 2025-11-25T18:42:06Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0336951.t002 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Main_parameters_for_our_simulations_59_/30715021 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Pharmacology Evolutionary Biology Space Science Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified thereby mitigating inter secondary users via orthogonal multiple access numerical results confirm monte carlo simulations ergodic data rate base station communicates amplify incident signals adjust phase shifts enhance spectral efficiency deriving exact op asymptotic op analysis enhanced noma systems overcoming multiplicative fading div >< p comprehensive performance analysis approximate edr expression achievable diversity order assisted noma architecture op ), throughput diversity order network assisted energy efficiency minimize op user interference sharing scenario sharing networks primary user paper presents outage probability optimization problem nakagami -< main contributions form expressions ee ), downlink non also formulate active ris |
| dc.title.none.fl_str_mv | Main parameters for our simulations [59]. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <div><p>This paper presents a comprehensive performance analysis of a downlink non-orthogonal multiple access (NOMA) network assisted by an active reconfigurable intelligent surface (ARIS) in a cognitive spectrum-sharing scenario. Unlike conventional passive RIS (PRIS), the ARIS can both adjust phase shifts and amplify incident signals, thereby mitigating inter-user interference and overcoming multiplicative fading. We consider a two-user secondary network coexisting with a primary user, where the base station communicates with the secondary users via the ARIS. Closed-form expressions for the outage probability (OP), throughput, energy efficiency (EE), and an approximation for the ergodic data rate (EDR) are derived under Nakagami-<i>m</i> fading, along with asymptotic OP analysis to reveal the achievable diversity order. We also formulate and solve an optimization problem for the NOMA power allocation coefficient to minimize OP. The main contributions are: (i) proposing an ARIS-assisted NOMA architecture for spectrum-sharing networks and comparing it with PRIS and orthogonal multiple access (OMA) schemes; (ii) deriving exact OP, throughput, and EE expressions, and an approximate EDR expression, validated by Monte Carlo simulations; (iii) providing asymptotic OP analysis to characterize the diversity order; and (iv) optimizing NOMA power allocation to minimize OP. Numerical results confirm that ARIS significantly outperforms PRIS and OMA in terms of OP, throughput, EC, and EE, demonstrating its potential to enhance spectral efficiency, reliability, and coverage in next-generation spectrum-sharing NOMA networks.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_d600fd00ab91755c54758d5c7049e1c7 |
| identifier_str_mv | 10.1371/journal.pone.0336951.t002 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30715021 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Main parameters for our simulations [59].Minh Tran (7698803)Minh Bui Vu (22683661)Sang Quang Nguyen (22683664)PharmacologyEvolutionary BiologySpace ScienceBiological Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedPhysical Sciences not elsewhere classifiedthereby mitigating intersecondary users viaorthogonal multiple accessnumerical results confirmmonte carlo simulationsergodic data ratebase station communicatesamplify incident signalsadjust phase shiftsenhance spectral efficiencyderiving exact opasymptotic op analysisenhanced noma systemsovercoming multiplicative fadingdiv >< pcomprehensive performance analysisapproximate edr expressionachievable diversity orderassisted noma architectureop ), throughputdiversity ordernetwork assistedenergy efficiencyminimize opuser interferencesharing scenariosharing networksprimary userpaper presentsoutage probabilityoptimization problemnakagami -<main contributionsform expressionsee ),downlink nonalso formulateactive ris<div><p>This paper presents a comprehensive performance analysis of a downlink non-orthogonal multiple access (NOMA) network assisted by an active reconfigurable intelligent surface (ARIS) in a cognitive spectrum-sharing scenario. Unlike conventional passive RIS (PRIS), the ARIS can both adjust phase shifts and amplify incident signals, thereby mitigating inter-user interference and overcoming multiplicative fading. We consider a two-user secondary network coexisting with a primary user, where the base station communicates with the secondary users via the ARIS. Closed-form expressions for the outage probability (OP), throughput, energy efficiency (EE), and an approximation for the ergodic data rate (EDR) are derived under Nakagami-<i>m</i> fading, along with asymptotic OP analysis to reveal the achievable diversity order. We also formulate and solve an optimization problem for the NOMA power allocation coefficient to minimize OP. The main contributions are: (i) proposing an ARIS-assisted NOMA architecture for spectrum-sharing networks and comparing it with PRIS and orthogonal multiple access (OMA) schemes; (ii) deriving exact OP, throughput, and EE expressions, and an approximate EDR expression, validated by Monte Carlo simulations; (iii) providing asymptotic OP analysis to characterize the diversity order; and (iv) optimizing NOMA power allocation to minimize OP. Numerical results confirm that ARIS significantly outperforms PRIS and OMA in terms of OP, throughput, EC, and EE, demonstrating its potential to enhance spectral efficiency, reliability, and coverage in next-generation spectrum-sharing NOMA networks.</p></div>2025-11-25T18:42:06ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0336951.t002https://figshare.com/articles/dataset/Main_parameters_for_our_simulations_59_/30715021CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307150212025-11-25T18:42:06Z |
| spellingShingle | Main parameters for our simulations [59]. Minh Tran (7698803) Pharmacology Evolutionary Biology Space Science Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified thereby mitigating inter secondary users via orthogonal multiple access numerical results confirm monte carlo simulations ergodic data rate base station communicates amplify incident signals adjust phase shifts enhance spectral efficiency deriving exact op asymptotic op analysis enhanced noma systems overcoming multiplicative fading div >< p comprehensive performance analysis approximate edr expression achievable diversity order assisted noma architecture op ), throughput diversity order network assisted energy efficiency minimize op user interference sharing scenario sharing networks primary user paper presents outage probability optimization problem nakagami -< main contributions form expressions ee ), downlink non also formulate active ris |
| status_str | publishedVersion |
| title | Main parameters for our simulations [59]. |
| title_full | Main parameters for our simulations [59]. |
| title_fullStr | Main parameters for our simulations [59]. |
| title_full_unstemmed | Main parameters for our simulations [59]. |
| title_short | Main parameters for our simulations [59]. |
| title_sort | Main parameters for our simulations [59]. |
| topic | Pharmacology Evolutionary Biology Space Science Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified thereby mitigating inter secondary users via orthogonal multiple access numerical results confirm monte carlo simulations ergodic data rate base station communicates amplify incident signals adjust phase shifts enhance spectral efficiency deriving exact op asymptotic op analysis enhanced noma systems overcoming multiplicative fading div >< p comprehensive performance analysis approximate edr expression achievable diversity order assisted noma architecture op ), throughput diversity order network assisted energy efficiency minimize op user interference sharing scenario sharing networks primary user paper presents outage probability optimization problem nakagami -< main contributions form expressions ee ), downlink non also formulate active ris |