TY - GEN
T1 - 60 GHz Multipath Propagation Analysis and Inference for an Indoor Scenario
AU - Balakrishnan, Sarankumar
AU - Ali Shah, Syed Hashim
AU - Xin, Liangxiao
AU - Abouelseoud, Mohamed
AU - Sakoda, Kazuyuki
AU - Tanaka, Ken
AU - Slezak, Christopher
AU - Rangan, Sundeep
AU - Panwar, Shivendra
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - Channel measurements at millimeter wave (mmWave) frequencies are typically carried out using directional antennas to overcome high path loss at mmWave frequencies. Unlike traditional directional channel measurements using narrow beam horn antennas where ray paths can be uniquely mapped to a direction with sufficient high accuracy, phased arrays with irregular beam pattern offers additional complexity in determining the arrival statistics of ray paths. In this work, we propose a systematic method to infer the ray path characteristics with the knowledge of beam patterns used by the phased array. We leverage on the channel measurement data obtained from extensive 60 GHz measurement campaign performed for indoor living room scenario and extract the ray path information from the measured data with high reliability. We also verify our findings through ray tracing simulation.
AB - Channel measurements at millimeter wave (mmWave) frequencies are typically carried out using directional antennas to overcome high path loss at mmWave frequencies. Unlike traditional directional channel measurements using narrow beam horn antennas where ray paths can be uniquely mapped to a direction with sufficient high accuracy, phased arrays with irregular beam pattern offers additional complexity in determining the arrival statistics of ray paths. In this work, we propose a systematic method to infer the ray path characteristics with the knowledge of beam patterns used by the phased array. We leverage on the channel measurement data obtained from extensive 60 GHz measurement campaign performed for indoor living room scenario and extract the ray path information from the measured data with high reliability. We also verify our findings through ray tracing simulation.
KW - beamforming
KW - mmWave blockage
KW - mmWave communications
KW - mmWave propagation
KW - spatial diversity
UR - http://www.scopus.com/inward/record.url?scp=85101319811&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85101319811&partnerID=8YFLogxK
U2 - 10.1109/VTC2020-Fall49728.2020.9348806
DO - 10.1109/VTC2020-Fall49728.2020.9348806
M3 - Conference contribution
AN - SCOPUS:85101319811
T3 - IEEE Vehicular Technology Conference
BT - 2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 92nd IEEE Vehicular Technology Conference, VTC 2020-Fall
Y2 - 18 November 2020
ER -