Antenna Array Driven by Non-Isolated Power Amplifiers for MIMO Applications

Fan, Haoran; Ding, Yuan; Goussetis, George; Sanchez, Maria Jesus Canavate

doi:10.23919/eumc.2019.8910845

Cited by 5 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therein, modeling the antennas, especially with complex structures, can be executed through DNNs. From another perspective, the antenna coupling can influence the integrated amplifiers, and some antenna elements can recognize negative impedances [33]. In this case, a well-designed amplifier that is matched with optimal drain impedances through LSTM-based DNNs can be a good solution.…”

Section: Proposed Optimization Methodsmentioning

confidence: 99%

Directly Matching an MMIC Amplifier Integrated with MIMO Antenna through DNNs for Future Networks

Kouhalvandi

2022

Sensors

View full text Add to dashboard Cite

Due to the exponential growth of data communications, linearity specification is deteriorating and, in high frequency systems, impedance transformation leading to power delivering from power amplifiers (PAs) to antennas is becoming an increasingly important concept. Intelligent-based optimization methods can be a suitable solution for enhancing this characteristic in the transceiver systems. Herein, to tackle the problems of linearity and impedance transformations, deep neural network (DNN)-based optimizations are employed. In the first phase, the antenna is modeled through the DNN with using the long short-term memory (LSTM) leading to forecast the load impedances in the a wide frequency band. Afterwards, the PA is modeled and optimized through another LSTM-based DNN using Multivariate Newton’s Method where the optimal drain impedances are predicted from the first DNN (i.e., modeled antenna). The whole optimization methodology is executed automatically leading to enhance linearity specification of the whole system. For proving the novelty of the proposed method, monolithic microwave integrated circuit (MMIC) along with the multiple-input multiple-output (MIMO) antenna is designed, modeled, and optimized concurrently in the frequency band from 7.49 GHz to 12.44 GHz. The proposed method leads to enhancing the linearity of the transceiver in an effective way where DNN-based PA model gives rise to a solution for achieving the most optimal drain impedance through the modeled DNN-based antenna.

show abstract

Section: Proposed Optimization Methodsmentioning

confidence: 99%

Directly Matching an MMIC Amplifier Integrated with MIMO Antenna through DNNs for Future Networks

Kouhalvandi

2022

Sensors

View full text Add to dashboard Cite

show abstract

“…As mentioned, the PA non-linearity affects the input signals into the antenna elements, which in turn change the radiated fields. Studies this far have determined that active impedance affects mostly side-lobe levels [15], [16], but in large arrays there exists also a possibility of negative impedance at single element ports [17]. Calculating the behavior of amplifier or antenna array separately is simple as antenna by itself is linear, and input signals of amplifier can be chosen arbitrarily in modern active load-pull measurements.…”

Section: Introductionmentioning

confidence: 99%

Amplifier-Antenna Array Optimization for EIRP by Phase Tuning

Kutinlahti¹,

Lehtovuori²,

Viikari³

2022

2022 16th European Conference on Antennas and Propagation (EuCAP)

View full text Add to dashboard Cite

In this paper, we analyse an antenna array fed with element-specific phase shifters and amplifiers. The elements of the array are mutually coupled and the operation of the amplifiers depend on the load impedance presented by the array. We derive a method for maximizing EIRP in a given direction and demonstrate the concept by simulations with 2x2 array fed with element-specific phase shifters and amplifiers at 2.5 GHz. Compared to the reference case, the optimization provides up to 0.7 dB improvement in EIRP in the −3 dB beam steering range.

show abstract