A 16 × 8 Hybrid Beamforming and Precoding Processor for 2D Planar Antenna Array in mmWave MIMO Systems

• Published in: Journal of signal processing systems 2018-04, Vol.90 (4), p.571-583
• Main Authors: Hsu, Kai-Neng, Wang, Ching-Hung, Lee, Yun-Yueh, Huang, Yuan-Hao
• Format: Article
• Language: English
• Subjects: Antenna arrays; Antennas; Beamforming; Circuits and Systems; CMOS; Communications systems; Complexity; Computer Imaging; Electrical Engineering; Engineering; Image Processing and Computer Vision; Microprocessors; Millimeter waves; MIMO (control systems); Mobile communication systems; Pattern Recognition; Pattern Recognition and Graphics; Signal,Image and Speech Processing; Vision
• ISSN: 1939-8018; 1939-8115
• DOI: 10.1007/s11265-017-1272-4

In the next generation 5G mobile communication systems, the massive multiple-input multiple-output (MIMO) system uses large antenna arrays to improve transmission throughput and reliability. Millimeter wave (mmWave) is very suitable for massive MIMO systems because its small wavelength allows the tightly package of large antenna array. This paper presents a low-complexity hybrid MIMO beamforming and precoding processor for 16x8 2D planar antenna array in mmWave systems. This study proposes to use the antenna selection technique to reduce the MIMO dimension and presents a sliding-window-based index selection for RF beamforming array vector. These techniques not only reduce the computational complexity but also enable highly paralleled hardware architecture. The proposed algorithm was designed and implemented by using TSMC 90 nm CMOS Technology for the MIMO baseband processing in 16 ×8 2D planar antenna array MIMO systems. The processor achieves 2.9 M, 3.3 M, 4 M, and 4.7 M channel matrices per second for four, three, two, and one stream, respectively.