Energy Efficiency Maximization of Massive MIMO Communications With Dynamic Metasurface Antennas

You, Li; Xu, Jie; Alexandropoulos, George C.; Wang, Jue; Wang, Wenjin; Gao, Xiqi

doi:10.1109/twc.2022.3194070

Cited by 39 publications

(10 citation statements)

References 48 publications

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“…Employing a different optimization object, [270] studied the energy efficiency maximization problem in single-cell multi-user mMIMO systems, by jointly optimizing transmit precoding matrices of UEs and DMA weights of the BS, based on Dinkelbach's transform and AO method. This effort was later extended in [271] for further exploiting both instantaneous and statistical channel state information (CSI) in designing the joint transmit precoding and DMA weights.…”

Section: Circuit Theory Model Linear Mmse Methodsmentioning

confidence: 99%

“…However, the fundamental limit of energy efficiency for HMIMO systems is not yet unveiled. Recently, some studies for realizing an DMA-enabled energy efficiency communication system were performed in [270], [271], in which the results showed DMAs can offer higher energy efficiency over mMIMO antenna arrays.…”

Section: Comparisons and Extensions A Comparisons With Existing Techn...mentioning

confidence: 99%

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

Gong¹,

Gavriilidis²,

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 (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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Section: Circuit Theory Model Linear Mmse Methodsmentioning

confidence: 99%

Section: Comparisons and Extensions A Comparisons With Existing Techn...mentioning

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

show abstract

“…Employing a different optimization object, [238] studied the energy efficiency maximization problem in single-cell multi-user mMIMO systems, by jointly optimizing transmit precoding matrices of UEs and DMA weights of the BS, based on Dinkelbach's transform and AO method. This effort was later extended in [239] for further exploiting both instantaneous and statistical channel state information (CSI) in designing the joint transmit precoding With a particular focus on the beam focusing in nearfield scenario, a mathematical model for DMA-based nearfield multi-user MIMO systems was proposed in [240], incorporating both the feasible processing of DMAs as well as the propagation of the transmitted EM waves in near-field wireless communications. Then, the joint optimization of the DMA weights dictating its transmission pattern, and the digital precoding vector was considered, in order to maximize the sum-rate when operating in near-field, while accounting for the specific Lorentzian-form response of metamaterial elements.…”

Section: B Holographic Beamforming and Beam Focusingmentioning

confidence: 99%

“…However, the fundamental limit of energy efficiency for HMIMO systems is not unveiled. Recently, some studies for realizing an DMAenabled energy efficiency communication system were performed in [238], [239], in which the results showed DMAs can offer higher energy efficiency over mMIMO antenna arrays.…”

Section: Capacity and Energy Efficiencymentioning

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

<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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“…Herein, microstrip lines are used as waveguides, similar to [28], [31]. The propagation model of the signal within a microstrip is expressed as…”

Section: B Transmit and Receive Signalsmentioning

confidence: 99%

Dynamic RF Combining for Multi-Antenna Ambient Energy Harvesting

López

Clerckx

2022

IEEE Wireless Commun. Lett.

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Ambient radio frequency (RF) energy harvesting (EH) technology is key to realize self-sustainable, always-on, low-power, massive Internet of Things networks. Typically, rigid (non-adaptable to channel fluctuations) multi-antenna receive architectures are proposed to support reliable EH operation. Herein, we introduce a dynamic RF combining architecture for ambient RF EH use cases, and exemplify the attainable performance gains via three simple phase shifts' exploration mechanisms, namely, brute force (BF), sequential testing (ST) and codebook based (CB). Among the proposed mechanisms, BF demands the highest power consumption, while CB requires the highest-resolution phase shifters, thus tipping the scales in favor of ST. Finally, we show that the performance gains of ST over a rigid RF combining scheme increase with the number of receive antennas and energy transmitters' deployment density.

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Energy Efficiency Maximization of Massive MIMO Communications With Dynamic Metasurface Antennas

Cited by 39 publications

References 48 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

Dynamic RF Combining for Multi-Antenna Ambient Energy Harvesting

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