Compressive Subspace Learning With Antenna Cross-Correlations for Wideband Spectrum Sensing

Gong, Tierui; Yang, Zhijia; Zheng, Meng; Liu, Zhifeng; Wang, Gengshan

doi:10.1109/tcomm.2020.3001027

Cited by 9 publications

(2 citation statements)

References 43 publications

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“…[193] Single UE BS: Single-antenna UE: XL-MIMO array ULA NLOS (Near-field) Present an analysis on near-field spatial correlation with an emphasis on one-ring scatter distribution, including the far-field spatial correlation as a special case. by the second-order channel statistics (i.e., spatial channel correlations), and many wireless applications [196]- [199] are facilitated based on the second-order statistics.…”

Section: A Channel Modelingmentioning

confidence: 99%

Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions

Gong¹,

Vinieratou²,

Ji³

et al. 2023

Preprint

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<p>Future wireless systems are envisioned to create an endogenously holography-capable, intelligent, and programmable radio propagation environment, that will offer unprecedented capabilities for high spectral and energy efficiency, low latency, and massive connectivity. A potential and promising technology for supporting the expected extreme requirements of the sixth-generation (6G) communication systems is the concept of the holographic multiple-input multiple-output (MIMO) surface (HMIMOS), which will actualize holographic radios with reasonable power consumption and fabrication cost. An HMIMOS is an ultra-thin and nearly continuous aperture that incorporates reconfigurable and sub-wavelength-spaced antennas and/or metamaterials. Such surfaces comprising dense electromagnetic (EM) excited elements are capable of recording and manipulating impinging fields with utmost flexibility and precision, as well as with reduced cost and power consumption, thereby shaping arbitrary-intended EM waves with high energy efficiency. The powerful EM processing capability of HMIMOS opens up the possibility of wireless communications of holographic imaging level, paving the way for signal processing techniques realized in the EM domain, possibly in conjunction with their digital-domain counterparts. However, in spite of the significant potential, the studies on HMIMOS-based wireless systems are still at an initial stage, its fundamental limits remain to be unveiled, and critical technical challenges with holographic MIMO communications need to be addressed. In this survey, we present a comprehensive overview of the latest advances in the holographic MIMO communications paradigm, with a special focus on their physical aspects, their theoretical foundations, as well as the enabling technologies for HMIMOS systems. We also compare HMIMOS systems with conventional multi-antenna technologies, especially massive MIMO systems, present various promising synergies of HMIMOS with current and future candidate technologies, and provide an extensive list of research challenges and open directions for future HMIMOS-empowered wireless applications.</p>

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Section: A Channel Modelingmentioning

confidence: 99%

Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions

Gong¹,

Vinieratou²,

Ji³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Spatial Correlation Based Channel Model: In this technical route, channel models are built from a spatial perspective, where channels are generally characterized by the spatial correlation matrix, which is a second-order channel statistic. For instance, the classic Kronecker channel model is characterized by the second-order channel statistics, and many wireless applications [207]- [210] are facilitated based on the secondorder statistics. For an uplink HMIMO system, shown in Fig.…”

Section: A Hmimo Channel Modelingmentioning

confidence: 99%

Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions

Gong¹,

Gavriilidis²,

Ji³

et al. 2023

Preprint

View full text Add to dashboard Cite

<p>Future wireless systems are envisioned to create an endogenously holography-capable, intelligent, and programmable radio propagation environment, that will offer unprecedented capabilities for high spectral and energy efficiency, low latency, and massive connectivity. A potential and promising technology for supporting the expected extreme requirements of the sixth-generation (6G) communication systems is the concept of the holographic multiple-input multiple-output (HMIMO), which will actualize holographic radios with reasonable power consumption and fabrication cost. The HMIMO is facilitated by ultra-thin, extremely large, and nearly continuous surfaces that incorporate reconfigurable and sub-wavelength-spaced antennas and/or metamaterials. Such surfaces comprising dense electromagnetic (EM) excited elements are capable of recording and manipulating impinging fields with utmost flexibility and precision, as well as with reduced cost and power consumption, thereby shaping arbitrary-intended EM waves with high energy efficiency. The powerful EM processing capability of HMIMO opens up the possibility of wireless communications of holographic imaging level, paving the way for signal processing techniques realized in the EM-domain, possibly in conjunction with their digital-domain counterparts. However, in spite of the significant potential, the studies on HMIMO communications are still at an initial stage, its fundamental limits remain to be unveiled, and a certain number of critical technical challenges need to be addressed. In this survey, we present a comprehensive overview of the latest advances in the HMIMO communications paradigm, with a special focus on their physical aspects, their theoretical foundations, as well as the enabling technologies for HMIMO systems. We also compare the HMIMO with existing multi-antenna technologies, especially the massive MIMO, present various promising synergies of HMIMO with current and future candidate technologies, and provide an extensive list of research challenges and open directions for future HMIMO-empowered wireless applications.</p>

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Wideband spectrum sensing technique based on subspace compression for MIMO cognitive radio networks

Morghare,

Kushwah,

Bhadauria

2024

Sādhanā

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Compressive Subspace Learning With Antenna Cross-Correlations for Wideband Spectrum Sensing

Cited by 9 publications

References 43 publications

Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions

Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions

Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions

Wideband spectrum sensing technique based on subspace compression for MIMO cognitive radio networks

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