W. Fan, F. Zhang, T. Jämsä, M. Gustafsson, P. Kyösti and G. F. Pedersen, "Reproducing standard SCME channel models for massive MIMO base station radiated testing," 2017 11th European Conference on Antennas and Propagation (EUCAP), Paris, 2017, pp. 3658-3662. doi: 10.23919/EuCAP.2017.7928380
Reproducing standard SCME channel models for massive MIMO base station radiated testing
|Author:||Fan, Wei1; Zhang, Fengchun1; Jämsä, Tommi2;|
1Antennas, Propagation and Radio Networking section at the Department of Electronic Systems, Aalborg University, Denmark
2Huawei Technologies Sweden AB, Gothenburg, Sweden
4Oulu University, Finland
|Online Access:||PDF Full Text (PDF, 2.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018080733457
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-08-07
Massive MIMO is a multi-user technology, where radio base stations (BSs) are equipped with a large number of antennas to simultaneously serve many terminals in the same time-frequency resource. Performance evaluation of such large-scale antenna systems in the design and development stage is challenging. In this paper, we propose to evaluate massive MIMO BSs with a sectorized multi-probe anechoic chamber (MPAC) setup. A sectorized MPAC setup with 16 probe antennas distributed uniformly within [-60°, 60°] in azimuth domain is utilized to reproduce target channel models. A 8 × 8 and a 16 × 16 uniform planar array at 3.5 GHz are selected as the BS under evaluation, respectively. Radio channel emulation accuracies in terms of power-angular spectrum, spatial correlation and beamforming pattern are investigated for the proposed MPAC setup and desired channel models.
IEEE Proceedings of the European Conference on Antennas and Propagation
|Pages:||3658 - 3662|
2017 11th European Conference on Antennas and Propagation (EUCAP)
European Conference on Antennas and Propagation
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work has been partially supported by Huawei Technologies Sweden AB, Gothenburg, Sweden. Dr. Wei Fan would like to acknowledge the financial assistance from Danish council for independent research (grant number: DFF 611100525).
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