Spatial Correlation Estimation of Millimeter Vehicular Communication Channels Using Out-of-Band Information
Wireless channels in vehicular communications systems rapidly vary due to the fast changes of their topology. Obtaining reliable instantaneous information about the propagation channel is invariably important in wireless communications. It is more challenging in vehicular communication systems especially at millimeter wave (mmWave) bands since the problem is further exacerbated by the hardware constraints required for mmWave systems. For example, a small number of radio frequency (RF) chains and low-resolution ADCs enforce to limit to the number of measurements for and the direct access to the channels between transceivers. Compared to the instantaneous channel information, the second order statistics (or the spatial correlation) of the channels vary slowly so it is relatively not hard to obtain them in general. In the case of mmWave systems, however, even acquiring the second order statics is still difficult because of the lack of direct access to the channel and possibly many transmit/receive antennas with hybrid beamforming architectures – inducing high training overhead. Therefore, to overcome the problem, we aim at developing a framework to leverage the second order statistics of out-of-band channels and to estimate mmWave channel correlations by using them. Specifically, algorithms will be developed to fetch out-of-band information from sub-6 GHz channels use this information for mmWave channel correlation estimation.
Language
- English
Project
- Status: Completed
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Project Managers:
Bhat, Chandra
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Performing Organizations:
Data-Supported Transportation Operations and Planning Center
University of Texas at Austin
Austin, TX United States 78701 -
Principal Investigators:
Heath, Robert
- Start Date: 20170501
- Expected Completion Date: 20190531
- Actual Completion Date: 20190531
- Source Data: 136
Subject/Index Terms
- TRT Terms: Bandwidth; Intelligent vehicles; Millimeter wave communication systems; Millimeter wave devices; Millimeter waves; Spatial analysis; Wireless communication systems
- Identifier Terms: Center for Transportation Research
- Geographic Terms: Austin (Texas)
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting;
Filing Info
- Accession Number: 01634952
- Record Type: Research project
- Source Agency: Data-Supported Transportation Operations and Planning Center
- Files: UTC, RIP
- Created Date: May 18 2017 8:54PM