Hybrid Beamforming Design Based on Low Complexity Alternating Minimizing Solution for Millimeter Wave MIMO Systems

Millimeter-wave (mmWave) bands have deservedly taken their place in the development of next-generation network communications to address the explosive growth of mobile network data traffic and high-speed communications requirements. Also, the fully connected hybrid architecture can offer a suitable...

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Veröffentlicht in:2024 3rd International Conference on Advanced Electrical Engineering (ICAEE) S. 1 - 5
Hauptverfasser: Hadji, Baghdad, Aissa-El-Bey, Abdeldjalil, Fergani, Lamya, Djeddou, Mustapha
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 05.11.2024
Schlagworte:
analog and digital beamforming design
Antenna arrays
Array signal processing
complete closed-form least-square solutions
Computational complexity
Computer architecture
Fully connected hybrid architecture
Hybrid power systems
iterative alternating minimization algorithm
Least mean squares methods
Millimeter wave technology
Minimization
mmWave MIMO communications
Performance evaluation
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Zusammenfassung:Millimeter-wave (mmWave) bands have deservedly taken their place in the development of next-generation network communications to address the explosive growth of mobile network data traffic and high-speed communications requirements. Also, the fully connected hybrid architecture can offer a suitable beamforming gain for overcoming the limitations of mm Wave signals in outdoor communications. Consequently, for the feasibility of the hybrid architecture implementation, the designing of the optimal analog/digital beamformers is indispensable for providing good performance with the lowest complexity. Therefore, in this work, we develop a low-complexity alternating minimization design using a complete closed-form least-square method in the iterative design process to derive the optimal analog and digital beamformers by considering the total power constraint at the transmitter and the unit constant modulus constraints. Thanks to the offered global optimal solutions and the fast convergence of the least squares method, numerical results demonstrated that the proposed design attains perfect performance with the lowest computational complexity compared to the state-of-art design algorithms in terms of spectral efficiency (SE) in different scenarios.
DOI:10.1109/ICAEE61760.2024.10783271