Wideband Inter-Beam Interference Cancellation for mmW/Sub-THz Phased Arrays With Squint

Javed, Muhammad Yasir; Tervo, Nuutti; Leinonen, Marko E.; Pärssinen, Aarno

doi:10.1109/tvt.2023.3242133

Cited by 4 publications

(7 citation statements)

References 32 publications

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“…In fact, due to the array gain decrease during the scan, the output power required to preserve the same equivalent isotropic radiated power (EIRP) turns out to be dependent on the main beam direction. This may lead to a large dynamic of the PAs output power and hence to a dissimilar signal distortion and PAs efficiency [43] in the scanning area, under the assumption of a fixed PAs operation point. Therefore, the reduced output power dynamic offered by the mixed-mode element architecture favours the transceiver linearity improvement as well as a less power hungry.…”

Section: A Case 1: Maximum Steering Angle Of 0 = 60°mentioning

confidence: 99%

Analysis of Performance Enhancement of Clustered-Based Phased Arrays Employing Mixed Antenna Element Factor

Dicandia,

Genovesi

2024

IEEE Trans. Antennas Propagat.

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A novel strategy for the design and optimization of large-scan phased arrays is proposed. Active electronically beamscanning antennas offer an unparalleled set of degrees of freedom, but they can be expensive, require complex radiofrequency frontends, a suitable thermal management and generally undergo a loss in directivity due to the pattern shape of the unit radiating element. A solution to these problems can be offered by an approach that reduces the number of transmit/receive modules (TRMs) and phase shifters (PSs) by a simple and fast clustering strategy based on Penrose tessellation that operates on the regular lattice of the radiating elements. More importantly, the proposed scheme adopts a mixed-mode element factor that proves to be effective in guaranteeing a remarkable scan efficiency and robustness with respect to array elements failures. The optimization process aims to maximize the minimum gain along the main beam during the scan as well as minimizing the peak sidelobe level (PSLL), while reducing the number of TRMs.

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Section: A Case 1: Maximum Steering Angle Of 0 = 60°mentioning

confidence: 99%

Analysis of Performance Enhancement of Clustered-Based Phased Arrays Employing Mixed Antenna Element Factor

Dicandia,

Genovesi

2024

IEEE Trans. Antennas Propagat.

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“…The loss function has a direct relationship with the objective function in (3) with N sam training samples, where v RF,ns , γ ns and h † channel,ns represent the optimized analog beamforming vectors, SNRs, and the generated channels associated with the nsth sample. Note that the reduction in loss correlates precisely with the increase in the average spectral efficiency.…”

Section: B Dl-based Beamforming Designmentioning

confidence: 99%

“…Analog and hybrid beamforming are bound by the constraint of constant modulus since only phase shifters are used to adjust excited antenna weights [2]. Fully digital beamforming systems are impractical for mmWave/Sub-THz frequency because each antenna element requires a specialized RF transceiver chain, which is neither cost-effective nor energy-effective to construct for large-scale arrays and bandwidths [3]. In addition, analog beamforming, in which phase shifting is accomplished in the analog domain, has been frequently used owing to its affordable price and ease of implementation [1].…”

Section: Introductionmentioning

confidence: 99%

A Metaheuristics-Based Hyperparameter Optimization Approach to Beamforming Design

et al. 2023

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The paradigm shift from ''connected things'' to ''connected intelligence'' is anticipated to be made possible by the sixth-generation wireless systems, which typically use millimeter wave beamforming to mitigate the significant propagation loss. However, beamforming design in millimeter wave communications poses many different challenges owing to the large antenna arrays with the limitation of radio frequency chains and analog beamforming architectures. To circumvent this problem, deep learning models have recently been utilized as a disruptive method for solving difficult optimization problems in sixth-generation mobile systems, such as maximizing spectral efficiency. However, it is still unclear how to produce high-performance deep learning models which require considering appropriate hyperparameters. This study proposes a metaheuristics-based approach for optimizing hyperparameters that are used to build optimized deep learning models to maximize spectral efficiency. The research results demonstrate that the proposed approach-based models establish higher spectral efficiency than the state-of-the-art approach-based models and the reference model whose hyperparameters are based on empirical trials.

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“…To assess the difference between the 3GPP and Gaussian and Sinc (non-modified and modified) antennas, we calculated the RMSE based on Equation (11). For the analyzed case, g 1 ((θ, φ), Φ 0 ) and g 2 ((θ, φ), Φ 0 ) are the 3GPP pattern and non-modified or modified models.…”

Section: Modification Of Simple Modelsmentioning

confidence: 99%

“…The widespread use of the inter-or co-channel spectral resources by adjacent beams causes inter-beam interference occurrence [8,9]. This phenomenon is the impetus for developing mechanisms and methods of inter-beam interference mitigation, suppression, or cancellation (e.g., [10][11][12]). On the other hand, in 5G and beyond networks, this goal is also achieved by implementing new technologies such as ultra-dense network [13,14], device-to-device [15], full duplex, non-orthogonal multiple access [16,17].…”

Section: Introductionmentioning

confidence: 99%

Modification of Simple Antenna Pattern Models for Inter-Beam Interference Assessment in Massive Multiple-Input–Multiple-Output Systems

Wojtuń,

Ziółkowski,

Kelner

2023

Sensors

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The occurrence of cross-beam interference in the received signal is one of the main problems that limit the possibilities of massive multiple-input–multiple-output technology (massive-MIMO) in fifth-generation (5G) systems. Thus, the evaluation of the level of this interference is one of the most important procedures in the spatial planning of currently wireless networks. We propose a novel modification of simple antenna pattern models, which is based only on changing the directivity of real antenna system patterns. This approach is independent of the antenna system’s type, structure, and analytical description. Based on the developed modification, the original methodology for assessing the signal-to-interference ratio (SIR) from adjacent beams of a common antenna system is presented. The change in the radiation direction and the accompanying change in the complex shape and parameters of the real antenna beam pattern is one of the problems that significantly hinders the evaluation of the analyzed interference. Hence, in the presented methodology, we propose using our modification. In this case, the modification is reduced to a proportional change in the directivity concerning the real antenna system, which results from a change in the beam direction. The simulation studies used a multi-ellipsoidal propagation model and a real massive MIMO antenna pattern description from 3GPP. For the SIR error analysis, the 3GPP pattern is used as a reference. The simulation results show that modifying simple antenna pattern models allows us to obtain an SIR error of no more than 3 dB and 0.1 dB under line-of-sight (LOS) and non-LOS conditions, respectively.

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Wideband Inter-Beam Interference Cancellation for mmW/Sub-THz Phased Arrays With Squint

Cited by 4 publications

References 32 publications

Analysis of Performance Enhancement of Clustered-Based Phased Arrays Employing Mixed Antenna Element Factor

Analysis of Performance Enhancement of Clustered-Based Phased Arrays Employing Mixed Antenna Element Factor

A Metaheuristics-Based Hyperparameter Optimization Approach to Beamforming Design

Modification of Simple Antenna Pattern Models for Inter-Beam Interference Assessment in Massive Multiple-Input–Multiple-Output Systems

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