TAILIEUCHUNG - Hybrid beamforming for millimeter wave systems using the MMSE criterion

Hybrid analog and digital beamforming (HBF) has recently emerged as an attractive technique for millimeter-wave (mmWave) communication systems. It well balances the deman d for sufficient beamforming gains to overcome the propagatio n loss and the desire to reduce the hardware cost and power consumption. In this paper, the mean square error (MSE) is chosen as the performance metric to characterize the transmission reliability. Using the minimum sum-MSE criterion, we investigate the HBF design for broadband mmWave transmissions. To overcome the difficulty of solving the multi-variable design problem, the alternating minimization method is adopted to optimize the hybrid transmit and receive beamformers alternatively. Specifically, a manifold optimization based HBF algorithm i s firstly proposed, which directly handles the constant modulus constraint of the analog component. Its convergence is then proved. To reduce the computational complexity, we then propose a low-complexity general eigenvalue decomposition based HBF algorithm in the narrowband scenario and three algorithms via the eigenvalue decomposition and orthogonal matching pursuit methods in the broadband scenario. | Hybrid beamforming for millimeter wave systems using the MMSE criterion

• Kĩ thuật Viễn thông
• Minimum mean square error
• Hybrid analog and digital beamforming
• Alternating optimization
• Manifold optimization
• MMSE criterion
• báo cáo khoa học
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• A dynamic channel allocation method for MIMO OFDMA system
• A dynamic channel allocation method
• MIMO OFDMA system
• ZF and MMSE approach
• Dynamic channel allocation
• Harris hawking optimization
• Weighted sum rate
• Broadcast MIMO
• Particle swarm optimization