Performance Analysis of Power Control Algorithms in Uplink Cell‐Free Massive MIMO Systems.
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| Title: | Performance Analysis of Power Control Algorithms in Uplink Cell‐Free Massive MIMO Systems. |
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| Authors: | Mersha, Abera Sitotaw1 (AUTHOR) sitotawabera21@gmail.com, Yimer, Amare Kassaw1 (AUTHOR), Mengistu, Fikreselam Gared1 (AUTHOR), Ariyur, Kartik1 (AUTHOR) kariyur@purdue.edu |
| Source: | Journal of Engineering (2314-4912). 6/23/2026, Vol. 2026, p1-33. 33p. |
| Subjects: | Radio resource management, Radio interference, Wireless communications, Channel estimation, Rician channels |
| Abstract: | Cellular massive multiple input multiple output (MIMO) technology has revolutionized wireless communication by enhancing spectral efficiency (SE). However, its ability to meet the growing data rate demands of future networks beyond fifth generation (5G) is limited by challenges like intercell interference. Future wireless networks′ huge data demands can be addressed via cell‐free massive multiple input multiple output (CF mMIMO), which has emerged as a promising solution. This approach efficiently addresses intercell interference by utilizing multiple access points (APs) that join to serve user equipment (UE) without depending on conventional cell borders. However, improving performance in power optimization and addressing issues such as interuser interference and pilot contamination (PC) remain critical challenges in CF mMIMO systems. This research studies power control algorithms that optimize SE in uplink CF mMIMO and user‐centric CF mMIMO systems under Rician fading channels, taking into account time‐division duplex (TDD) operation and both perfect and imperfect channel state information (ICSI) at the APs. Orthogonal pilot assignment schemes can also mitigate the PC effect. Simulation results are provided, comparing SE performance in both CF mMIMO and user‐centric CF mMIMO systems. Fractional power control (FPC) is the best SE performance for both uniform power control (UPC) and minimum rate maximization power control (MRMPC). In the case of upper bound (UB) with ICSI at 0.5 cumulative distribution function (CDF), user‐centric CF mMIMO provides a 12.56% improvement over CF mMIMO under MR‐MPC. Therefore, user‐centric CF mMIMO is always better than both CF mMIMO and cellular massive (Ma‐MIMO) systems because it is cluster‐based. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Engineering (2314-4912) 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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194784321 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Performance Analysis of Power Control Algorithms in Uplink Cell‐Free Massive MIMO Systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mersha%2C+Abera+Sitotaw%22">Mersha, Abera Sitotaw</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sitotawabera21@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Yimer%2C+Amare+Kassaw%22">Yimer, Amare Kassaw</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mengistu%2C+Fikreselam+Gared%22">Mengistu, Fikreselam Gared</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ariyur%2C+Kartik%22">Ariyur, Kartik</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kariyur@purdue.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Engineering+%282314-4912%29%22">Journal of Engineering (2314-4912)</searchLink>. 6/23/2026, Vol. 2026, p1-33. 33p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Radio+resource+management%22">Radio resource management</searchLink><br /><searchLink fieldCode="DE" term="%22Radio+interference%22">Radio interference</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+communications%22">Wireless communications</searchLink><br /><searchLink fieldCode="DE" term="%22Channel+estimation%22">Channel estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Rician+channels%22">Rician channels</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Cellular massive multiple input multiple output (MIMO) technology has revolutionized wireless communication by enhancing spectral efficiency (SE). However, its ability to meet the growing data rate demands of future networks beyond fifth generation (5G) is limited by challenges like intercell interference. Future wireless networks′ huge data demands can be addressed via cell‐free massive multiple input multiple output (CF mMIMO), which has emerged as a promising solution. This approach efficiently addresses intercell interference by utilizing multiple access points (APs) that join to serve user equipment (UE) without depending on conventional cell borders. However, improving performance in power optimization and addressing issues such as interuser interference and pilot contamination (PC) remain critical challenges in CF mMIMO systems. This research studies power control algorithms that optimize SE in uplink CF mMIMO and user‐centric CF mMIMO systems under Rician fading channels, taking into account time‐division duplex (TDD) operation and both perfect and imperfect channel state information (ICSI) at the APs. Orthogonal pilot assignment schemes can also mitigate the PC effect. Simulation results are provided, comparing SE performance in both CF mMIMO and user‐centric CF mMIMO systems. Fractional power control (FPC) is the best SE performance for both uniform power control (UPC) and minimum rate maximization power control (MRMPC). In the case of upper bound (UB) with ICSI at 0.5 cumulative distribution function (CDF), user‐centric CF mMIMO provides a 12.56% improvement over CF mMIMO under MR‐MPC. Therefore, user‐centric CF mMIMO is always better than both CF mMIMO and cellular massive (Ma‐MIMO) systems because it is cluster‐based. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Engineering (2314-4912) 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/je/1562390 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 33 StartPage: 1 Subjects: – SubjectFull: Radio resource management Type: general – SubjectFull: Radio interference Type: general – SubjectFull: Wireless communications Type: general – SubjectFull: Channel estimation Type: general – SubjectFull: Rician channels Type: general Titles: – TitleFull: Performance Analysis of Power Control Algorithms in Uplink Cell‐Free Massive MIMO Systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mersha, Abera Sitotaw – PersonEntity: Name: NameFull: Yimer, Amare Kassaw – PersonEntity: Name: NameFull: Mengistu, Fikreselam Gared – PersonEntity: Name: NameFull: Ariyur, Kartik IsPartOfRelationships: – BibEntity: Dates: – D: 23 M: 06 Text: 6/23/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 23144904 Numbering: – Type: volume Value: 2026 Titles: – TitleFull: Journal of Engineering (2314-4912) Type: main |
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