A Beyond 5G OTFS Waveform Radio for Smart Hospital: PAPR Reduction in OTFS Using the Cuckoo Search–Based PTS Method.
Saved in:
| Title: | A Beyond 5G OTFS Waveform Radio for Smart Hospital: PAPR Reduction in OTFS Using the Cuckoo Search–Based PTS Method. |
|---|---|
| Authors: | Kumar, Arun1 (AUTHOR), Nanthaamornphong, Aziz2 (AUTHOR) aziz.n@phuket.psu.ac.th, Bansal, Shonak (AUTHOR) |
| Source: | Journal of Electrical & Computer Engineering. 6/12/2025, Vol. 2025, p1-17. 17p. |
| Subjects: | Software radio, Rician channels, Error rates, 5G networks, Hospitals |
| Abstract: | Smart hospitals have enormous potential to improve global standards of medical services. Integrating fifth‐generation (5G) and beyond 5G radio with the present healthcare framework can make hospitals smarter. High spectral access, data rate, capacity, low latency, and large data handling are requirements of innovative hospitals. The advanced waveform in the physical layer should be designed considering the requirements and its deployment in high‐speed applications, such as trains, vehicles, and aircraft. Orthogonal time‐frequency selective (OTFS) waveforms have enormous potential to satisfy the demands of intelligent hospitals and provide excellent performance in high‐speed environments. The deployment of OTFS in the B5G framework can boost the performance of healthcare structures. However, the high peak‐to‐average power ratio (PAPR) in OTFS is considered a severe issue that can degrade the power performance of smart hospital‐based advanced radio frameworks. In this study, we propose a Cuckoo search (CS) partial transmission sequence (PTS) genetic algorithm known as PTS + CS to reduce the PAPR of the OTFS waveform under the Rician and Rayleigh channels with 256 subcarriers. The CS generates an optimal phase factor for the PTS, weighted with OTFS symbols, and lowers the PAPR of the framework. Parameters such as the PAPR, bit error rate (BER), power spectral density (PSD), and power performance of the OTFS were studied and analyzed for the conventional and PTS + CS approaches. The results revealed that the proposed PTS + CS obtained significant PAPR and PSD performance while retaining the BER of the framework. The optimal PAPR, BER, PSD, and power‐saving performance of the advanced radio enhance the quality of the B5G‐based intelligent healthcare system. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Electrical & Computer Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 185907256 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A Beyond 5G OTFS Waveform Radio for Smart Hospital: PAPR Reduction in OTFS Using the Cuckoo Search–Based PTS Method. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kumar%2C+Arun%22">Kumar, Arun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nanthaamornphong%2C+Aziz%22">Nanthaamornphong, Aziz</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> aziz.n@phuket.psu.ac.th</i><br /><searchLink fieldCode="AR" term="%22Bansal%2C+Shonak%22">Bansal, Shonak</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Electrical+%26+Computer+Engineering%22">Journal of Electrical & Computer Engineering</searchLink>. 6/12/2025, Vol. 2025, p1-17. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Software+radio%22">Software radio</searchLink><br /><searchLink fieldCode="DE" term="%22Rician+channels%22">Rician channels</searchLink><br /><searchLink fieldCode="DE" term="%22Error+rates%22">Error rates</searchLink><br /><searchLink fieldCode="DE" term="%225G+networks%22">5G networks</searchLink><br /><searchLink fieldCode="DE" term="%22Hospitals%22">Hospitals</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Smart hospitals have enormous potential to improve global standards of medical services. Integrating fifth‐generation (5G) and beyond 5G radio with the present healthcare framework can make hospitals smarter. High spectral access, data rate, capacity, low latency, and large data handling are requirements of innovative hospitals. The advanced waveform in the physical layer should be designed considering the requirements and its deployment in high‐speed applications, such as trains, vehicles, and aircraft. Orthogonal time‐frequency selective (OTFS) waveforms have enormous potential to satisfy the demands of intelligent hospitals and provide excellent performance in high‐speed environments. The deployment of OTFS in the B5G framework can boost the performance of healthcare structures. However, the high peak‐to‐average power ratio (PAPR) in OTFS is considered a severe issue that can degrade the power performance of smart hospital‐based advanced radio frameworks. In this study, we propose a Cuckoo search (CS) partial transmission sequence (PTS) genetic algorithm known as PTS + CS to reduce the PAPR of the OTFS waveform under the Rician and Rayleigh channels with 256 subcarriers. The CS generates an optimal phase factor for the PTS, weighted with OTFS symbols, and lowers the PAPR of the framework. Parameters such as the PAPR, bit error rate (BER), power spectral density (PSD), and power performance of the OTFS were studied and analyzed for the conventional and PTS + CS approaches. The results revealed that the proposed PTS + CS obtained significant PAPR and PSD performance while retaining the BER of the framework. The optimal PAPR, BER, PSD, and power‐saving performance of the advanced radio enhance the quality of the B5G‐based intelligent healthcare system. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Electrical & Computer Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=185907256 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/jece/4053505 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Subjects: – SubjectFull: Software radio Type: general – SubjectFull: Rician channels Type: general – SubjectFull: Error rates Type: general – SubjectFull: 5G networks Type: general – SubjectFull: Hospitals Type: general Titles: – TitleFull: A Beyond 5G OTFS Waveform Radio for Smart Hospital: PAPR Reduction in OTFS Using the Cuckoo Search–Based PTS Method. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kumar, Arun – PersonEntity: Name: NameFull: Nanthaamornphong, Aziz – PersonEntity: Name: NameFull: Bansal, Shonak IsPartOfRelationships: – BibEntity: Dates: – D: 12 M: 06 Text: 6/12/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20900147 Numbering: – Type: volume Value: 2025 Titles: – TitleFull: Journal of Electrical & Computer Engineering Type: main |
| ResultId | 1 |
