Holographic MIMO Aided Integrated User-Centric Cell-Free Terrestrial and Non-Terrestrial Networks

With the rapid growth of global communication demand, the limitations of traditional terrestrial networks (TNs) in terms of their coverage, reliability and resource utilization efficiency are becoming increasingly apparent. To address these challenges, this paper proposes a holographic multiple-input multiple-output (MIMO) user-centric cell-free integrated terrestrial and non-terrestrial network (TN-NTN). The proposed architecture is promising to achieve seamless global coverage, high spectral efficiency and robust performance in dynamic multi-user scenarios by combining holographic beamforming, distributed access points (APs) and satellite-ground collaboration. Based on the proposed holographic MIMO assisted user-centric cell-free TN-NTN, first we present the associated channel estimation and time synchronization methods conceived for these dynamic environments, and use statistical modeling as well as distributed optimization techniques for improving the adaptability and synchronization accuracy of the system. Then, we analyze the hybrid beamforming design proposed for this architecture, which combines holographic and digital beamforming for optimizing both signal directionality and interference suppression. We harness statistical modeling and real-time feedback for prompt dynamic adaptation to the violently fluctuating channel conditions. We demonstrate that our system significantly outperforms traditional TN-NTNs in terms of its spectral efficiency and system adaptability. We conclude with the challenges faced by practical hardware limitations, time synchronization and resource allocation, and propose promising future research directions such as hardware optimization, quantum enhanced security, and advanced modulation.

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Publication Details

Journal
IEEE Network
Published
2025-01-01
DOI
https://doi.org/10.1109/mnet.2025.3580451
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
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article

Holographic MIMO Aided Integrated User-Centric Cell-Free Terrestrial and Non-Terrestrial Networks

Chao Xu, Qingchao Li, Mohammed El‐Hajjar, Lajos Hanzo et al.
IEEE Network
Advanced MIMO Systems Optimization
article

Holographic MIMO Aided Integrated User-Centric Cell-Free Terrestrial and Non-Terrestrial Networks

Chao Xu, Qingchao Li, Mohammed El‐Hajjar, Lajos Hanzo, Kunlun Li, Xinyu Feng
article en

Abstract

With the rapid growth of global communication demand, the limitations of traditional terrestrial networks (TNs) in terms of their coverage, reliability and resource utilization efficiency are becoming increasingly apparent. To address these challenges, this paper proposes a holographic multiple-input multiple-output (MIMO) user-centric cell-free integrated terrestrial and non-terrestrial network (TN-NTN). The proposed architecture is promising to achieve seamless global coverage, high spectral efficiency and robust performance in dynamic multi-user scenarios by combining holographic beamforming, distributed access points (APs) and satellite-ground collaboration. Based on the proposed holographic MIMO assisted user-centric cell-free TN-NTN, first we present the associated channel estimation and time synchronization methods conceived for these dynamic environments, and use statistical modeling as well as distributed optimization techniques for improving the adaptability and synchronization accuracy of the system. Then, we analyze the hybrid beamforming design proposed for this architecture, which combines holographic and digital beamforming for optimizing both signal directionality and interference suppression. We harness statistical modeling and real-time feedback for prompt dynamic adaptation to the violently fluctuating channel conditions. We demonstrate that our system significantly outperforms traditional TN-NTNs in terms of its spectral efficiency and system adaptability. We conclude with the challenges faced by practical hardware limitations, time synchronization and resource allocation, and propose promising future research directions such as hardware optimization, quantum enhanced security, and advanced modulation.

IEEE Network
University of Southampton (GB)
Openalex Percentile: Top 88%
Advanced MIMO Systems Optimization
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