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Theodore S. Rappaport
Researcher at New York University
Publications - 503
Citations - 76147
Theodore S. Rappaport is an academic researcher from New York University. The author has contributed to research in topics: Path loss & Multipath propagation. The author has an hindex of 112, co-authored 490 publications receiving 68853 citations. Previous affiliations of Theodore S. Rappaport include University of Waterloo & University of Texas at Austin.
Papers
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Journal ArticleDOI
Analysis and Simulation of Interference to Vehicle-Equipped Digital Receivers From Cellular Mobile Terminals Operating in Adjacent Frequencies
TL;DR: The impact of the interference from the adjacent cellular bands on an operational digital wireless receive-only system is demonstrated and the performance impact such as outage on satellite receivers is determined in realistic roadway conditions.
Proceedings ArticleDOI
Channel allocation in SDMA cellular systems
TL;DR: Results show that high performance in SDMA systems is achieved by balancing channel reuse among cells with channel reuse within cells, and other performance parameters, such as the number of channel reassignment requests, are strongly affected by user mobility.
Proceedings ArticleDOI
WCDMA STTD performance analysis with transmitter location optimization in indoor systems using ray-tracing technique
K.K. Bae,Jing Jiang,William H. Tranter,Christopher R. Anderson,Theodore S. Rappaport,Jian He,Alex Verstak,Layne T. Watson,Naren Ramakrishnan,Clifford A. Shaffer +9 more
TL;DR: Based on the performance, transmitter location optimization in indoor environments is considered and results indicate that the effective diversity order is retained even when high cross correlation exists and power imbalance exists between signals from different antennas.
Posted Content
3-D Statistical Channel Model for Millimeter-Wave Outdoor Communications.
TL;DR: A step-by-step modeling procedure for generating channel coefficients is shown to agree with statistics from the field measurements, thus confirming that the statistical channel model faithfully recreates spatial and temporal channel impulse responses for use in millimeter-wave 5G air interface desig ns.