ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021
DOI: 10.1109/icassp39728.2021.9413746
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Beam Focusing for Multi-User MIMO Communications with Dynamic Metasurface Antennas

Abstract: Recently, dynamic metasurface antennas (DMAs) have emerged as a promising technology for realizing massive multipleinput multiple-output (MIMO) wireless systems. The usage of large arrays, jointly with higher transmitted frequencies, often results in the communicating devices operating in the near-field (Fresnel) region, thus requiring different considerations compared to traditional systems, assumed to operate in the far-field regime. In this paper, we study the potential of beam focusing, feasible in near-fi… Show more

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Cited by 22 publications
(16 citation statements)
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“…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%
“…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, its use in cellular communication, particularly with massive MIMO, remains limited. A few studies have examined the use of DMAs in cellular communication and have served as a reference [6], [27]- [30]. For example, Shlezinger et al [27] studied the multi-user MIMO system, in which a base station (BS) uses DMA to receive signal streams sent from different user terminals.…”
Section: Introductionmentioning
confidence: 99%
“…A beam focusing based on dynamic metasurface antennas was proposed for near-field MIMO communications. 21 This method needs to join to optimization of the dynamic metasurface antennas (DMAs) weights and digital precoders solve the non-convex problems. A dynamic focusing of large arrays based on orthogonal or pseudo-orthogonal masks was proposed for wireless power transfer (WPT).…”
Section: Introductionmentioning
confidence: 99%
“…Beam focusing can also improve the communication channel. A beam focusing based on dynamic meta‐surface antennas was proposed for near‐field MIMO communications 21 . This method needs to join to optimization of the dynamic metasurface antennas (DMAs) weights and digital precoders solve the non‐convex problems.…”
Section: Introductionmentioning
confidence: 99%