Abstract
In this paper, the measurement data of an outdoor-to-indoor channel at 60 GHz for various orientations of the receiver is analyzed. We comment on the variation of the received line-of-sight (LOS) component power and delay spread with respect to the misalignment angle and suggest the existence of clusters which map to nearby buildings acting as scatterers. We propose a method to randomly generate the tapped delay line (TDL) filter model of the channel for any orientation of the receiver. We divide the range of misalignment angle into sectors of 5 degrees each and analyzed the similarity between the TDL models of each sector. The analysis enabled us to group the sectors into two categories: (A) [0,10) degrees and (B) [10,25) degrees. The TDL model is used to determine the bit error rate (BER) curve. The BER results are reported for BPSK modulation at 8 Gbps datarate. It is seen that when the misalignment angle exceeds 10 degrees, the BER floor goes up significantly, causing a BER increase of almost two orders. It can also be related to the lack of the LOS component in category (B), as the main-lobe of the receiver is steered further away from LOS.
Original language | English (US) |
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Title of host publication | 2021 15th European Conference on Antennas and Propagation (EuCAP) |
Publisher | IEEE |
ISBN (Print) | 9788831299022 |
DOIs | |
State | Published - Mar 22 2021 |
Bibliographical note
KAUST Repository Item: Exported on 2021-05-25Acknowledgements: This work was supported by the Czech Science Foundation, Project No. 17-27068S Mobile channel analysis and modelling in millimeter wave band, and by the National Sustainability Program under grant LO1401 Interdisciplinary Research of Wireless Technologies. For the research, the infrastructure of the SIX Center was used. The work of A. Chandra is supported by Core Research Grant (CRG), Science and Engineering Research Board, Department of Science and Technology, Government of India, Grant No. CRG/2018/000175 and the Research Initiation Grant (RIG), NIT Durgapur, Grant No. 996/2017.