Optimizing intra-layer data communication with adaptive beamforming for proactive flow control in wireless network-on-chip.

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Title: Optimizing intra-layer data communication with adaptive beamforming for proactive flow control in wireless network-on-chip.
Authors: Kumar, T. R. Dinesh1 (AUTHOR) drdnesh84@gmail.com, Lokesh, S.2 (AUTHOR), Sathyasri, B.3 (AUTHOR)
Source: EURASIP Journal on Wireless Communications & Networking. 10/27/2025, Vol. 2025 Issue 1, p1-21. 21p.
Subjects: Networks on a chip, Adaptive signal processing, Flow control (Data transmission systems), Resource allocation, Data transmission systems, Data flow computing, Parallel computers
Abstract: WiNoC establishes itself as a prospective architectural solution which delivers swift communication capabilities to multi-core systems. Multi-layer system efficiency depends on the development of advanced intra-layer communication techniques because data communication demands keep increasing. The review article focuses on adaptive beamforming optimization for intra-layer data distribution in WiNoC with proactive flow control features. The article examines the dilemmas behind steady chip layer data transmission then presents adaptive beamforming as an answer to manage data flow better and reduce clogging while boosting data speed. This paper explores the implementation of adaptive beamforming into current WiNoC systems which optimizes power efficiency through minimized interference while upgrading signal quality. Various adaptive beamforming algorithms together with their operational advantages and real-time implementations for intra-layer communication efficiency improvement are explained throughout the paper. The paper discusses proactive flow control methods for traffic management and bottleneck avoidance which ensure enhanced high-speed network communication. This article achieves a complete understanding of WiNoC performance optimization through its analysis of present-day adaptive beamforming research methods and experimental findings and current trends. The research proposes future steps for WiNoC design through a discussion about adaptive beamforming's effects on upcoming communication systems. [ABSTRACT FROM AUTHOR]
Copyright of EURASIP Journal on Wireless Communications & Networking is the property of Springer Nature 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.)
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  Data: Optimizing intra-layer data communication with adaptive beamforming for proactive flow control in wireless network-on-chip.
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  Data: <searchLink fieldCode="DE" term="%22Networks+on+a+chip%22">Networks on a chip</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+signal+processing%22">Adaptive signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Flow+control+%28Data+transmission+systems%29%22">Flow control (Data transmission systems)</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+allocation%22">Resource allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Data+transmission+systems%22">Data transmission systems</searchLink><br /><searchLink fieldCode="DE" term="%22Data+flow+computing%22">Data flow computing</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+computers%22">Parallel computers</searchLink>
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  Data: WiNoC establishes itself as a prospective architectural solution which delivers swift communication capabilities to multi-core systems. Multi-layer system efficiency depends on the development of advanced intra-layer communication techniques because data communication demands keep increasing. The review article focuses on adaptive beamforming optimization for intra-layer data distribution in WiNoC with proactive flow control features. The article examines the dilemmas behind steady chip layer data transmission then presents adaptive beamforming as an answer to manage data flow better and reduce clogging while boosting data speed. This paper explores the implementation of adaptive beamforming into current WiNoC systems which optimizes power efficiency through minimized interference while upgrading signal quality. Various adaptive beamforming algorithms together with their operational advantages and real-time implementations for intra-layer communication efficiency improvement are explained throughout the paper. The paper discusses proactive flow control methods for traffic management and bottleneck avoidance which ensure enhanced high-speed network communication. This article achieves a complete understanding of WiNoC performance optimization through its analysis of present-day adaptive beamforming research methods and experimental findings and current trends. The research proposes future steps for WiNoC design through a discussion about adaptive beamforming's effects on upcoming communication systems. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of EURASIP Journal on Wireless Communications & Networking is the property of Springer Nature 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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        Value: 10.1186/s13638-025-02491-8
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Adaptive signal processing
        Type: general
      – SubjectFull: Flow control (Data transmission systems)
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      – SubjectFull: Resource allocation
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      – SubjectFull: Data transmission systems
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      – SubjectFull: Data flow computing
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      – SubjectFull: Parallel computers
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              Text: 10/27/2025
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