2019 IEEE MTT-S International Wireless Symposium (IWS) 2019
DOI: 10.1109/ieee-iws.2019.8803918
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Over-the-Air Testing of 5G Millimeter-Wave System with Adaptive Beamforming

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Cited by 7 publications
(5 citation statements)
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“…Due to this limitation of the 3GPP CDL models, the ray-tracing channel model [21] has been applied to the virtual drive testing in MPAC [22], even though the geometry based stochastic channel model (GSCM) is more preferable for MPAC-based OTA testing. Due to this reason, a GSCM channel model with better time evolution performance was used in [23] for testing the adaptive beamforming capability of the DUT. In that model, the UE trajectory is divided into segments.…”
Section: Simulation and Discussionmentioning
confidence: 99%
“…Due to this limitation of the 3GPP CDL models, the ray-tracing channel model [21] has been applied to the virtual drive testing in MPAC [22], even though the geometry based stochastic channel model (GSCM) is more preferable for MPAC-based OTA testing. Due to this reason, a GSCM channel model with better time evolution performance was used in [23] for testing the adaptive beamforming capability of the DUT. In that model, the UE trajectory is divided into segments.…”
Section: Simulation and Discussionmentioning
confidence: 99%
“…The emulation accuracy in the testing area depends on the number of probes and their positions. For sparse mmWave channels, a cost-effective sectored MPAC was proposed in [184], [185], which uses mmWave switching circuits to select the probes with the strongest effect and map them to the mmWave channel emulators [see Fig. 20] [186].…”
Section: System Performance Testingmentioning
confidence: 99%
“…Further investigation of real-time prediction with realistic time-frame structures in time division duplex (TDD) systems was suggested. Pei et al [33] emulated the line-of-sight channel accurately via pre-faded synthesis and analysed over-the-air 5G cellular communication with adaptive beamforming using a sectored multi-probe anechoic chamber. A recent study by [34] tackled the interference issue by using the adaptive beamforming algorithm to mitigate interference.…”
Section: B Massive Mimomentioning
confidence: 99%