M. Majidzadeh, A. Moilanen, N. Tervo, H. Pennanen, A. Tölli and M. Latva-aho, "Hybrid beamforming for single-user MIMO with partially connected RF architecture," 2017 European Conference on Networks and Communications (EuCNC), Oulu, 2017, pp. 1-6. doi: 10.1109/EuCNC.2017.7980696
Hybrid beamforming for single-user MIMO with partially connected RF architecture
|Author:||Majidzadeh, Mohammad1; Moilanen, Aleksi1; Tervo, Nuutti1;|
1Centre for Wireless Communications (CWC), University of Oulu, Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018080233294
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-08-02
Hybrid analog-digital beamforming has been recognized as a promising solution for a practical implementation of massive multiple-input multiple-output (MIMO) systems based on millimeter-wave technology. In this paper, three hybrid beamforming algorithms are proposed for single-user MIMO systems with partially connected radio frequency (RF) architecture, including a singular value decomposition (SVD) matching algorithm, an iterative orthogonalization algorithm, and a transmit-receive zero forcing (ZF) algorithm. The rate performance of the proposed algorithms is compared with fully digital and analog beamforming in a realistic geometry-based stochastic channel model. The simulation results show that the transmit-receive ZF is superior among hybrid methods, and it provides performance relatively close to that of the digital beamforming. In conclusion, carefully designed partially connected hybrid beamforming can obtain an excellent balance between hardware complexity and performance.
|Pages:||1 - 6|
2017 European Conference on Networks and Communications (EuCNC), 12-15 June 2017, Oulu, Finland : 5G - European Roadmap, Global Impact
European Conference on Networks and Communications
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This research has been supported by Bittium, Huawei, Keysight, Kyynel, MediaTek, Nokia, and Finnish Funding Agency for Technology and Innovation (Tekes) under 5Gto10G and High5 projects. It has been also supported by the Academy of Finland via grant number 307492.
|Academy of Finland Grant Number:||
307492 (Academy of Finland Funding decision)
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