Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual...

Area of Science:

• Electrical Engineering and Computer Science
• Wireless Communication Systems
• Signal Processing

Background:

• Millimeter-wave (mmWave) massive MIMO systems face significant overhead challenges in hybrid beamforming.
• Existing beamforming techniques struggle to adapt to diverse and dynamic channel states.
• Efficient statistical structure extraction and network training are crucial for robust hybrid beamforming.

Purpose of the Study:

• To introduce an effective hybrid beamforming method using a Dual-Deep-Network (DDN) to mitigate overhead in mmWave massive MIMO systems.
• To develop a DDN technique for extracting statistical structures and training network map functions for hybrid beamforming.
• To evaluate the performance improvements in transmission and reception entities using the proposed DDN-based hybrid architecture.

Main Methods:

• A Dual-Deep-Network (DDN) model is proposed for hybrid beamforming.
• The DDN is trained using communication data sequences across various channel variants and states.
• Performance is evaluated by analyzing Bit Error Rate (BER) versus Signal-to-Noise Ratio (SNR) and spectral efficiency versus SNR, with cross-validation against classical methods.

Main Results:

• The proposed DDN-based hybrid beamforming method demonstrates significant performance improvements in both transmission and reception.
• Key metrics show enhancement, achieving 7 Kbits/s/Hz spectral efficiency and a BER of 1e-1.
• Computational cost and performance estimations are improved, with enhanced beamforming procedures and Multi-Resolution Code Book metrics.

Conclusions:

• The Dual-Deep-Network approach effectively overcomes overhead issues in mmWave massive MIMO hybrid beamforming.
• DDN offers robust performance across diverse channel states, enhancing spectral efficiency and BER.
• The proposed method provides a computationally efficient and high-performing solution for advanced wireless communication systems.