Efficient Phased Array Radiation Pattern Evaluation for 5G and SatCom On-The-Move (SOTM) Applications

Eltohamy, Ali; Elkhouly, Mostafa; Große, Peter; Landmann, Markus; Del Galdo, Giovanni

doi:10.23919/eucap57121.2023.10132956

2023 17th European Conference on Antennas and Propagation (EuCAP) 2023

DOI: 10.23919/eucap57121.2023.10132956

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Efficient Phased Array Radiation Pattern Evaluation for 5G and SatCom On-The-Move (SOTM) Applications

Ali Eltohamy,

Mostafa Elkhouly,

Peter Große

et al.

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2024

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Supervised AutoEncoder-Based Beamforming Approach for Satellite mmWave Communication

Shojaei,

Soleimani,

Soleimani

2024

International Journal of Antennas and Propagation

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Beamforming is a technique commonly used in wireless communication systems to enhance the signal quality of a receiver. In this study, we compare the performance of an encoder-based beamformer with convolutional neural network (CNN) and minimum variance distortionless response (MVDR) approaches in terms of signal-to-interference-plus-noise ratio (SINR). Our results show that the encoder-based approach achieved an average SINR of 25.82 dB, while the CNN approach achieved an average SINR of 22.40 dB and the MVDR approach achieved an average SINR of 17.64 dB. The performance of the encoder-based approach was found to be superior to that of the CNN approach but much superior to that of the MVDR approach. The encoder-based approach outperformed the CNN approach by 3.42 dB and MVDR approach by 8.18 dB on average. In addition, the unique contribution of our encoder-based approach is presenting a new perspective on beamforming in mmWave communication. We further discuss its potential impact on addressing challenges related to LEO satellite systems.

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Supervised AutoEncoder-Based Beamforming Approach for Satellite mmWave Communication

Shojaei,

Soleimani,

Soleimani

2024

International Journal of Antennas and Propagation

View full text Add to dashboard Cite

show abstract

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Efficient Phased Array Radiation Pattern Evaluation for 5G and SatCom On-The-Move (SOTM) Applications

Cited by 1 publication

References 4 publications

Supervised AutoEncoder-Based Beamforming Approach for Satellite mmWave Communication

Supervised AutoEncoder-Based Beamforming Approach for Satellite mmWave Communication

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