A 16 × 8 Hybrid Beamforming and Precoding Processor for 2D Planar Antenna Array in mmWave MIMO Systems
Autor: | Yuan-Hao Huang, Yun-Yueh Lee, Kai-Neng Hsu, Ching-Hung Wang |
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Rok vydání: | 2017 |
Předmět: |
Beamforming
3G MIMO Computer science MIMO Real-time computing Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Precoding Theoretical Computer Science Antenna array Hardware_GENERAL 0202 electrical engineering electronic engineering information engineering Electronic engineering 0601 history and archaeology Computer Science::Information Theory 060102 archaeology ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 020206 networking & telecommunications 06 humanities and the arts Multi-user MIMO Spatial multiplexing Hardware and Architecture Control and Systems Engineering Modeling and Simulation Signal Processing Antenna (radio) Information Systems |
Zdroj: | Journal of Signal Processing Systems. 90:571-583 |
ISSN: | 1939-8115 1939-8018 |
DOI: | 10.1007/s11265-017-1272-4 |
Popis: | 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. |
Databáze: | OpenAIRE |
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