Spatial Channel Estimation and Tracking

Reliable communication at the millimeter-wave (mmWave) frequencies depends critically on beamforming with very high-dimensional antenna arrays. Estimating the channel sufficiently accurately to perform beamforming can be challenging due to both low coherence time and a large number of antennas. The measurements used for channel estimation may need to be made with analog beamforming, where the receiver can “look” in only one direction at a time. Also, Instantaneous beamforming is hard due to rapidly varying nature of small-scale fading parameters. As a result, we focused on the long-term beamforming. In this work, we propose methods based on Maximum Likelihood for estimation of the long-term receiver-side spatial channel covariance matrix leveraging compressed sensing and non-negative matrix completion ideas. Iterative algorithms are developed to solve this optimization and are demonstrated on both ideal single-path channels as well as channel models derived from real measurements in New York City at 28 GHz. The algorithms show relatively fast convergences and can provide good channel estimates with significantly less number of measurements than unknowns.

Besides the aforementioned fast iterative estimation method, we also investigate how to increase channel estimation accuracy by improving the beamforming dictionary matrix. MmWave channels exhibit sparsity due to the limited number of dominant propagation paths, thus compressed sensing techniques can be leveraged to conduct channel estimation at the mmWave band. Existing mmWave MIMO channel estimation methods based on compressed sensing usually exploit a standard basis pursuit approach to construct the beamforming dictionary matrix to estimate angles of departure (AoDs) and angles of arrival (AoAs), which, however, has the problem of angle quantization leakage. We propose a novel method to build the beamforming dictionary matrix using the continuous basis pursuit (CBP) concept, and present two novel low-complexity algorithms to exploit channel sparsity for adaptively estimating multipath channel parameters in mmWave channels. Simulation results show that the newly proposed CBP approach and the two algorithms can reduce angle estimation errors and improve spectral efficiency for both single-path and multipath channels generated from the NYUSIM channel simulator, as compared to existing methods and algorithms.

Publications

CitationResearch AreasDate
G. R. MacCartney, Jr. and T. S. Rappaport, “Rural Macrocell Path Loss Models for Millimeter Wave Wireless Communications,” in IEEE Journal on Selected Areas in Communications, vol. 35, no. 7, pp. 1663-1677, July 2017.100 GHz, Dynamic Channel Models, Macro-diversity, MmWave cellular system design, mmWave Channel Modeling, mmWave Channel Models, mmWave MAC, mmwave rappaport, multi connectivity handover, Spatial Channel Estimation and Tracking, Spectrum Sharing2017/07/03
S. Sun and T. S. Rappaport, "Millimeter Wave MIMO Channel Estimation Based on Adaptive Compressed Sensing,” 2017 IEEE International Conference on Communications Workshop (ICCW), May 2017. 5G Channel Models, Millimeter Wave 5G Prototype, MIMO, MmWave cellular system design, mmWave Channel Modeling, mmwave rappaport, Prototyping and simulation software, Spatial Channel Estimation and Tracking2017/05/23
G. R. MacCartney, Jr. and T. S. Rappaport, “A Flexible Wideband Millimeter-Wave Channel Sounder with Local Area and NLOS to LOS Transition Measurements,” in 2017 IEEE International Conference on Communications (ICC), Paris, France, May 2017, pp. 1-7.
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100 GHz, 5G Channel Models, Channel Sounder, Dynamic Channel Models, Macro-diversity, Millimeter Wave 5G Prototype, MmWave cellular system design, mmWave Channel Modeling, mmWave Channel Models, mmwave rappaport, Prototyping and simulation software, Spatial Channel Estimation and Tracking2017/05/01
P. A. Eliasi; S. Rangan; T. S. Rappaport, "Low-Rank Spatial Channel Estimation for Millimeter Wave Cellular Systems," IEEE Transactions on Wireless Communications, vol. 16, no. 5, pp. 2748-2759, May 2017.mmwave rappaport, Spatial Channel Estimation and Tracking, Wireless Comm2017/05/01
J. Ryan, G. R. MacCartney, Jr., and T. S. Rappaport, “Indoor Office Wideband Penetration Loss Measurements at 73 GHz,” in 2017 IEEE International Conference on Communications Workshop (ICCW), Paris, France, May 2017, pp. 1-6.
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5G Channel Models, Millimeter Wave 5G Prototype, MmWave cellular system design, mmWave Channel Modeling, mmWave Channel Models, mmwave rappaport, Prototyping and simulation software, Spatial Channel Estimation and Tracking2017/05/01
G. R. MacCartney, Jr. and T. S. Rappaport, “Study on 3GPP Rural Macrocell Path Loss Models for Millimeter Wave Wireless Communications,” in 2017 IEEE International Conference on Communications (ICC), Paris, France, May 2017, pp. 1-7.
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5G Channel Models, Millimeter Wave 5G Prototype, MmWave cellular system design, mmWave Channel Modeling, mmWave Channel Models, mmWave MAC, mmwave rappaport, Prototyping and simulation software, Spatial Channel Estimation and Tracking2017/05/01
F. Boccardi et al., "Spectrum Pooling in MmWave Networks: Opportunities, Challenges, and Enablers," in IEEE Communications Magazine, vol. 54, no. 11, pp. 33-39, November 2016.mmWave Channel Models, Spatial Channel Estimation and Tracking2016/11/15
S. Sun, T. S. Rappaport, R. W. Heath, A. Nix, S. Rangan, “MIMO for millimeter-wave wireless communications: beamforming, spatial multiplexing, or both?” IEEE Communications Magazine, vol. 52, no. 12, pp. 110-121, December 2014.MIMO, mmwave rappaport, Spatial Channel Estimation and Tracking2014/11/26
S. Sun, G. R. MacCartney, Jr., S. Nie, and T. S. Rappaport, “Millimeter wave multi-beam antenna combining for 5G cellular link improvement in New York City,” in 2014 IEEE International Conference on Communications (ICC), June 2014, pp. 5468–5473.mmWave Channel Models, mmwave rappaport, Spatial Channel Estimation and Tracking2014/06/01
M.K. Samimi, K. Wang, Y. Azar, G.N. Wong, R. Mayzus, H. Zhao, J.K. Schulz, S. Sun, F. Gutierrez, T.S. Rappaport, "28 GHz Angle of Arrival and Angle of Departure Analysis for Outdoor Cellular Communications using Steerable Beam Antennas in New York City " in 2013 IEEE Vehicular Technology Conference (VTC Spring), pp.1-6, 2-5 June 2013.5G Channel Models, mmWave Channel Models, mmwave rappaport, Spatial Channel Estimation and Tracking2013/06/02